Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-10T21:14:13.062996Z
Paper Citation Record · LEDGER
Finetuned Language Models Are Zero-Shot Learners
As of 10 August 2026, this Paper Citation Record lists 67 of 67 outbound references and 100 inbound Pith citation observations for arXiv:2109.01652.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T10:43:49.256303Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-10T18:57:31.605663Z
Reference resolution
67 of 67 outbound references displayed
- verified exact2
- verified fuzzy17
- unresolved37
- parse uncertain7
- malformed identifier2
- metadata mismatch2
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 1607d341-4e67-450d-95b2-930af0ce839a · outbound
This paper cites Kenton Lee, Ming-Wei Chang, and Kristina Toutanova.
Finetuned Language Models Are Zero-Shot Learners Kenton Lee, Ming-Wei Chang, and Kristina Toutanova
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-10T21:14:13.748984Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 75a856ca-6677-4cbb-b5ba-f04d2d8df12e · outbound
This paper cites Brian Lester, Rami Al-Rfou, and Noah Constant.
Finetuned Language Models Are Zero-Shot Learners Brian Lester, Rami Al-Rfou, and Noah Constant
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-10T21:14:13.762311Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 47f4efc7-c96d-4480-99ba-d6c2a5bc2c71 · outbound
This paper cites The Power of Scale for Parameter-Efficient Prompt Tuning.
Finetuned Language Models Are Zero-Shot Learners The Power of Scale for Parameter-Efficient Prompt Tuning
Reference 3
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T16:34:05.826717Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation b843a73c-a35a-4f7a-98fd-f6be2717c92f · outbound
This paper cites The W inograd S chema C hallenge.
Finetuned Language Models Are Zero-Shot Learners The W inograd S chema C hallenge
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T21:14:13.184142Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 0fe3288f-5a4b-4517-ba68-f3bec5957136 · outbound
This paper cites an unresolved cited work.
Finetuned Language Models Are Zero-Shot Learners Unresolved cited work
Reference 5
- Resolution
- unresolved
- raw_fallback, observed 2026-05-10T21:14:13.766348Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation bc75ce70-61b6-409f-876d-8aa34042f981 · outbound
This paper cites Massively Multilingual ASR: 50 Languages, 1 Model, 1 Billion Parameters.
Finetuned Language Models Are Zero-Shot Learners Massively Multilingual ASR: 50 Languages, 1 Model, 1 Billion Parameters
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T21:14:13.253955Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation fcc6d1a8-9379-4080-9460-e9f5b734f8f6 · outbound
This paper cites A Recipe For Arbitrary Text Style Transfer with Large Language Models.
Finetuned Language Models Are Zero-Shot Learners A Recipe For Arbitrary Text Style Transfer with Large Language Models
Reference 7
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-10T21:14:13.264907Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 7b83dca6-6200-4440-9a5b-c13b7a46b581 · outbound
This paper cites An Overview of Multi-Task Learning in Deep Neural Networks.
Finetuned Language Models Are Zero-Shot Learners An Overview of Multi-Task Learning in Deep Neural Networks
Reference 8
- Resolution
- malformed identifier
- arxiv_id, observed 2026-05-13T09:50:25.566913Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation fd2f47cc-6d7c-4745-8d6e-f7e311b01c1c · outbound
This paper cites Recursively Summarizing Books with Human Feedback.
Finetuned Language Models Are Zero-Shot Learners Recursively Summarizing Books with Human Feedback
Reference 9
- Resolution
- malformed identifier
- arxiv_id, observed 2026-05-17T15:28:19.819648Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation dc89a8e6-481a-4f23-9618-29eb95f90455 · outbound
This paper cites ‘The dog runs. ’ Translate this sentence to French.
Finetuned Language Models Are Zero-Shot Learners ‘The dog runs. ’ Translate this sentence to French
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-10T21:14:13.773354Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation ba903be7-86d5-4a33-822f-7cde917c6716 · outbound
This paper cites an unresolved cited work.
Finetuned Language Models Are Zero-Shot Learners Unresolved cited work
Reference 11
- Resolution
- parse uncertain
- raw_fallback, observed 2026-05-10T21:14:13.780762Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 1f757ce9-e9cd-40da-a8e6-837aad81db2d · outbound
This paper cites an unresolved cited work.
Finetuned Language Models Are Zero-Shot Learners Unresolved cited work
Reference 12
- Resolution
- unresolved
- raw_fallback, observed 2026-05-10T21:14:13.784656Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 205cf68e-8b06-430a-a195-97c80bd47030 · outbound
This paper cites an unresolved cited work.
Finetuned Language Models Are Zero-Shot Learners Unresolved cited work
Reference 13
- Resolution
- unresolved
- raw_fallback, observed 2026-05-10T21:14:13.270270Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation b39183ec-cc11-40e7-904b-d28222610059 · outbound
This paper cites an unresolved cited work.
Finetuned Language Models Are Zero-Shot Learners Unresolved cited work
Reference 14
- Resolution
- unresolved
- raw_fallback, observed 2026-05-10T21:14:13.276470Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation c9353932-b7e3-4732-b944-db1b702d6fa3 · outbound
This paper cites an unresolved cited work.
Finetuned Language Models Are Zero-Shot Learners Unresolved cited work
Reference 15
- Resolution
- unresolved
- raw_fallback, observed 2026-05-10T21:14:13.289798Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation ffe97dab-ca79-45aa-a74c-9c381f8af91b · outbound
This paper cites an unresolved cited work.
Finetuned Language Models Are Zero-Shot Learners Unresolved cited work
Reference 16
- Resolution
- unresolved
- raw_fallback, observed 2026-05-10T21:14:13.298864Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 9b071fa7-908b-48c7-b066-8ef06efbc0b7 · outbound
This paper cites We use the following datasets.
Finetuned Language Models Are Zero-Shot Learners We use the following datasets
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-10T21:14:13.309150Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation ed8da3dc-c951-4112-a9a1-5c0ffd9b6874 · outbound
This paper cites an unresolved cited work.
Finetuned Language Models Are Zero-Shot Learners Unresolved cited work
Reference 18
- Resolution
- unresolved
- raw_fallback, observed 2026-05-10T21:14:13.313769Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 4079d72c-eb58-409d-98ac-0e9951e76e67 · outbound
This paper cites an unresolved cited work.
Finetuned Language Models Are Zero-Shot Learners Unresolved cited work
Reference 19
- Resolution
- parse uncertain
- raw_fallback, observed 2026-05-10T21:14:13.320039Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation c01383e0-4056-4977-8681-350644a51f46 · outbound
This paper cites an unresolved cited work.
Finetuned Language Models Are Zero-Shot Learners Unresolved cited work
Reference 20
- Resolution
- unresolved
- raw_fallback, observed 2026-05-10T21:14:13.325995Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 5c1d3038-fd17-4004-a636-694f05933784 · outbound
This paper cites an unresolved cited work.
Finetuned Language Models Are Zero-Shot Learners Unresolved cited work
Reference 21
- Resolution
- unresolved
- raw_fallback, observed 2026-05-10T21:14:13.336679Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 1537d7a0-f571-4521-8c07-ed7b039cfaad · outbound
This paper cites an unresolved cited work.
Finetuned Language Models Are Zero-Shot Learners Unresolved cited work
Reference 22
- Resolution
- unresolved
- raw_fallback, observed 2026-05-10T21:14:13.341132Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 5dfd4902-ee0f-417e-b1af-85d17a1656e0 · outbound
This paper cites We use the following datasets.
Finetuned Language Models Are Zero-Shot Learners We use the following datasets
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-10T21:14:13.349767Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation dac5661b-b8de-49b9-a0de-19e01adf921b · outbound
This paper cites an unresolved cited work.
Finetuned Language Models Are Zero-Shot Learners Unresolved cited work
Reference 24
- Resolution
- unresolved
- raw_fallback, observed 2026-05-10T21:14:13.356375Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 6e9c3897-f683-4f78-ae9a-1a5cf02616b7 · outbound
This paper cites an unresolved cited work.
Finetuned Language Models Are Zero-Shot Learners Unresolved cited work
Reference 25
- Resolution
- unresolved
- raw_fallback, observed 2026-05-10T21:14:13.360192Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation ec93035a-7d6a-4ac0-b25d-23f890d699dd · outbound
This paper cites an unresolved cited work.
Finetuned Language Models Are Zero-Shot Learners Unresolved cited work
Reference 26
- Resolution
- parse uncertain
- raw_fallback, observed 2026-05-10T21:14:13.368335Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 7059a99f-4295-4a80-93f0-cc2eb05b9f99 · outbound
This paper cites We use the following datasets.
Finetuned Language Models Are Zero-Shot Learners We use the following datasets
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-10T21:14:13.379300Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 609e4af1-8fd7-4457-bc84-4c7c214e482b · outbound
This paper cites an unresolved cited work.
Finetuned Language Models Are Zero-Shot Learners Unresolved cited work
Reference 28
- Resolution
- parse uncertain
- raw_fallback, observed 2026-05-10T21:14:13.383091Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 3e87ca6d-1657-4c32-9bf6-e2991d208bb9 · outbound
This paper cites an unresolved cited work.
Finetuned Language Models Are Zero-Shot Learners Unresolved cited work
Reference 29
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation e9b292af-79a1-4cb0-97bb-ccbb8fcd9fb3 · outbound
This paper cites an unresolved cited work.
Finetuned Language Models Are Zero-Shot Learners Unresolved cited work
Reference 30
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 34174d2c-a2cf-4413-a470-a57085c1fdbe · outbound
This paper cites We use the following datasets.
Finetuned Language Models Are Zero-Shot Learners We use the following datasets
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-10T21:14:13.409364Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation c883ba73-03fa-4ac3-a687-7775ad0c8a17 · outbound
This paper cites an unresolved cited work.
Finetuned Language Models Are Zero-Shot Learners Unresolved cited work
Reference 32
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation be5e2bd4-c684-41d5-aebb-df1c9d09ac7d · outbound
This paper cites an unresolved cited work.
Finetuned Language Models Are Zero-Shot Learners Unresolved cited work
Reference 33
- Resolution
- unresolved
- raw_fallback, observed 2026-05-10T21:14:13.422436Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 6bd76470-3fb5-4a41-bf4d-8e8e04159ce1 · outbound
This paper cites (2017) • Paraphrase detection asks a model to determine whether two sentences are semantically equiva- lent.4 We use the following datasets.
Finetuned Language Models Are Zero-Shot Learners (2017) • Paraphrase detection asks a model to determine whether two sentences are semantically equiva- lent.4 We use the following datasets
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-10T21:14:13.428021Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation f50f7d0b-839a-4e8d-afa3-852adb884fb2 · outbound
This paper cites an unresolved cited work.
Finetuned Language Models Are Zero-Shot Learners Unresolved cited work
Reference 35
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 6eebfae4-8813-43c7-afc4-820136d92af5 · outbound
This paper cites an unresolved cited work.
Finetuned Language Models Are Zero-Shot Learners Unresolved cited work
Reference 36
- Resolution
- unresolved
- raw_fallback, observed 2026-05-10T21:14:13.451662Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 1e75eecb-932e-4b8b-928f-d0c30d6839ce · outbound
This paper cites We use the following datasets.
Finetuned Language Models Are Zero-Shot Learners We use the following datasets
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-10T21:14:13.455762Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 23d80c94-0b47-4239-ad36-def8a4ed88bd · outbound
This paper cites an unresolved cited work.
Finetuned Language Models Are Zero-Shot Learners Unresolved cited work
Reference 38
- Resolution
- parse uncertain
- raw_fallback, observed 2026-05-10T21:14:13.465806Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation f904e9ee-f219-4c11-afd0-2d91cd7abda8 · outbound
This paper cites 36 Published as a conference paper at ICLR 2022.
Finetuned Language Models Are Zero-Shot Learners 36 Published as a conference paper at ICLR 2022
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-10T21:14:13.477139Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation ebe59abd-b9fc-49ef-882f-f5e82a3c2708 · outbound
This paper cites We use the following datasets.
Finetuned Language Models Are Zero-Shot Learners We use the following datasets
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-10T21:14:13.490348Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 635daf49-6d7a-4906-b85c-886e8e12e3d9 · outbound
This paper cites an unresolved cited work.
Finetuned Language Models Are Zero-Shot Learners Unresolved cited work
Reference 41
- Resolution
- unresolved
- raw_fallback, observed 2026-05-10T21:14:13.507497Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 29f29747-7496-4dd8-8f72-57d007fd404a · outbound
This paper cites We use the following datasets.
Finetuned Language Models Are Zero-Shot Learners We use the following datasets
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-10T21:14:13.519635Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation b29bb720-329a-4411-9bae-68b64f447a40 · outbound
This paper cites an unresolved cited work.
Finetuned Language Models Are Zero-Shot Learners Unresolved cited work
Reference 43
- Resolution
- unresolved
- raw_fallback, observed 2026-05-10T21:14:13.542369Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 70ad7c6b-54b1-4acd-8f51-df9ec4c2b6cf · outbound
This paper cites an unresolved cited work.
Finetuned Language Models Are Zero-Shot Learners Unresolved cited work
Reference 44
- Resolution
- parse uncertain
- raw_fallback, observed 2026-05-10T21:14:13.546657Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation d52c409d-8ad5-4369-a673-48a01f88a9a5 · outbound
This paper cites an unresolved cited work.
Finetuned Language Models Are Zero-Shot Learners Unresolved cited work
Reference 45
- Resolution
- unresolved
- raw_fallback, observed 2026-05-10T21:14:13.553676Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 65f9dd30-88ae-4832-8500-2f28259f0f3b · outbound
This paper cites We use the following datasets.
Finetuned Language Models Are Zero-Shot Learners We use the following datasets
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-10T21:14:13.562424Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 27bb5e46-93a8-4b1b-888f-690924c7086b · outbound
This paper cites an unresolved cited work.
Finetuned Language Models Are Zero-Shot Learners Unresolved cited work
Reference 47
- Resolution
- unresolved
- raw_fallback, observed 2026-05-10T21:14:13.591347Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 99b7e1e9-4ced-4b2b-af52-07b8776badc6 · outbound
This paper cites an unresolved cited work.
Finetuned Language Models Are Zero-Shot Learners Unresolved cited work
Reference 48
- Resolution
- unresolved
- raw_fallback, observed 2026-05-10T21:14:13.607346Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation cfa3a239-3a79-4803-8967-6fcf597b77fa · outbound
This paper cites We use the following datasets.
Finetuned Language Models Are Zero-Shot Learners We use the following datasets
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-10T21:14:13.620344Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation b9e59c06-6eaf-4466-8e0c-0c6fca6b6472 · outbound
This paper cites an unresolved cited work.
Finetuned Language Models Are Zero-Shot Learners Unresolved cited work
Reference 50
- Resolution
- unresolved
- raw_fallback, observed 2026-05-10T21:14:13.633352Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 903d03ca-c4f4-4cdc-8099-f228cfd245eb · outbound
This paper cites an unresolved cited work.
Finetuned Language Models Are Zero-Shot Learners Unresolved cited work
Reference 51
- Resolution
- unresolved
- raw_fallback, observed 2026-05-10T21:14:13.640353Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 28f700b9-dfaf-4076-8527-3283587404a0 · outbound
This paper cites an unresolved cited work.
Finetuned Language Models Are Zero-Shot Learners Unresolved cited work
Reference 52
- Resolution
- unresolved
- raw_fallback, observed 2026-05-10T21:14:13.650073Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 6c189a63-3c35-436e-81a5-f811973a303e · outbound
This paper cites an unresolved cited work.
Finetuned Language Models Are Zero-Shot Learners Unresolved cited work
Reference 53
- Resolution
- unresolved
- raw_fallback, observed 2026-05-10T21:14:13.659142Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 6ffaadd8-32d7-42d4-a7ff-23934a9f70d3 · outbound
This paper cites an unresolved cited work.
Finetuned Language Models Are Zero-Shot Learners Unresolved cited work
Reference 54
- Resolution
- unresolved
- raw_fallback, observed 2026-05-10T21:14:13.662642Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation ba2b6b6f-dc0b-4c0e-8c1e-38e413c9e680 · outbound
This paper cites an unresolved cited work.
Finetuned Language Models Are Zero-Shot Learners Unresolved cited work
Reference 55
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation e3c5bd1d-22a6-4d63-831d-145748112940 · outbound
This paper cites an unresolved cited work.
Finetuned Language Models Are Zero-Shot Learners Unresolved cited work
Reference 56
- Resolution
- unresolved
- raw_fallback, observed 2026-05-10T21:14:13.685441Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 4375bc21-a932-488a-a5a9-b7b3e1d14258 · outbound
This paper cites an unresolved cited work.
Finetuned Language Models Are Zero-Shot Learners Unresolved cited work
Reference 57
- Resolution
- unresolved
- raw_fallback, observed 2026-05-10T21:14:13.694035Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation fdafa4ed-f55e-40dc-be58-2b230e8cde9c · outbound
This paper cites an unresolved cited work.
Finetuned Language Models Are Zero-Shot Learners Unresolved cited work
Reference 58
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 709ae2fe-a1b0-4bf4-9163-9bc570915fb0 · outbound
This paper cites an unresolved cited work.
Finetuned Language Models Are Zero-Shot Learners Unresolved cited work
Reference 59
- Resolution
- unresolved
- raw_fallback, observed 2026-05-10T21:14:13.708762Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation b7742edc-513d-4072-9cb0-e81237bc32e5 · outbound
This paper cites an unresolved cited work.
Finetuned Language Models Are Zero-Shot Learners Unresolved cited work
Reference 60
- Resolution
- unresolved
- raw_fallback, observed 2026-05-10T21:14:13.712479Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 0b90ae4c-a4c0-4550-978c-5fddf6ddba5b · outbound
This paper cites an unresolved cited work.
Finetuned Language Models Are Zero-Shot Learners Unresolved cited work
Reference 61
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 392d14c8-81f5-4ab8-a2ac-4d028c2690b6 · outbound
This paper cites an unresolved cited work.
Finetuned Language Models Are Zero-Shot Learners Unresolved cited work
Reference 62
- Resolution
- unresolved
- raw_fallback, observed 2026-05-10T21:14:13.726147Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 549c272d-0538-444f-8c70-143cc9b3120d · outbound
This paper cites an unresolved cited work.
Finetuned Language Models Are Zero-Shot Learners Unresolved cited work
Reference 63
- Resolution
- unresolved
- raw_fallback, observed 2026-05-10T21:14:13.735092Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 899f4171-eb5a-4502-a8bb-c19b1dc9c6da · outbound
This paper cites an unresolved cited work.
Finetuned Language Models Are Zero-Shot Learners Unresolved cited work
Reference 64
- Resolution
- unresolved
- raw_fallback, observed 2026-05-10T21:14:13.738579Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation b9254afe-3476-4c8a-9fe6-f429f2aa1b69 · outbound
This paper cites Joey Heindle was highly disliked by people on television.
Finetuned Language Models Are Zero-Shot Learners Joey Heindle was highly disliked by people on television
Reference 65
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-10T21:14:13.742190Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation f88e9274-a6ac-4489-b3c6-42be6f5b7847 · outbound
This paper cites Of the training set with 16,113 examples, we use 16,013 for train and 100 for dev.
Finetuned Language Models Are Zero-Shot Learners Of the training set with 16,113 examples, we use 16,013 for train and 100 for dev
Reference 66
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-10T21:14:13.745698Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation a368af27-fffb-47e9-a289-1d50eb20ecec · outbound
This paper cites The Flat.
Reference 67
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-10T21:14:13.758162Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Pith citing papers
Observation 951c0feb-08fd-4028-b0c8-7866e302c901 · inbound
A General Language Assistant as a Laboratory for Alignment cites this paper.
A General Language Assistant as a Laboratory for Alignment Finetuned Language Models Are Zero-Shot Learners
Reference 251
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation f9efcea2-65d2-437e-adf1-d3b999de156d · inbound
Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, A Large-Scale Generative Language Model cites this paper.
Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, A Large-Scale Generative Language Model Finetuned Language Models Are Zero-Shot Learners
Reference 70
- Resolution
- verified exact
- local_arxiv, observed 2026-05-24T12:14:26.522602Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 20132cce-9392-4313-9364-36fdd326301a · inbound
Do As I Can, Not As I Say: Grounding Language in Robotic Affordances cites this paper.
Do As I Can, Not As I Say: Grounding Language in Robotic Affordances Finetuned Language Models Are Zero-Shot Learners
Reference 8
- Resolution
- verified exact
- local_arxiv, observed 2026-05-10T22:24:06.406357Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 8cd37e47-c5e7-4ebd-b284-080eca6c0033 · inbound
GPT-NeoX-20B: An Open-Source Autoregressive Language Model cites this paper.
GPT-NeoX-20B: An Open-Source Autoregressive Language Model Finetuned Language Models Are Zero-Shot Learners
Reference 100
- Resolution
- verified exact
- local_arxiv, observed 2026-05-24T12:34:28.266297Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 5ec69752-66ff-47e4-a2d8-2cce0d7be4ee · inbound
Flamingo: a Visual Language Model for Few-Shot Learning cites this paper.
Flamingo: a Visual Language Model for Few-Shot Learning Finetuned Language Models Are Zero-Shot Learners
Reference 126
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-12T04:22:30.342393Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 2c733f5a-8706-4499-8afe-91ab540c3417 · inbound
MRKL Systems: A modular, neuro-symbolic architecture that combines large language models, external knowledge sources and discrete reasoning cites this paper.
MRKL Systems: A modular, neuro-symbolic architecture that combines large language models, external knowledge sources and discrete reasoning Finetuned Language Models Are Zero-Shot Learners
Reference 17
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T07:31:08.322291Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation d30d8d8a-1c8f-4d20-a255-1915a277cb38 · inbound
OPT: Open Pre-trained Transformer Language Models cites this paper.
OPT: Open Pre-trained Transformer Language Models Finetuned Language Models Are Zero-Shot Learners
Reference 210
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-10T21:14:13.786069Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 52755504-cd39-4e3c-87b4-34d60dd96d6b · inbound
A Generalist Agent cites this paper.
A Generalist Agent Finetuned Language Models Are Zero-Shot Learners
Reference 57
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T06:24:49.972741Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 29612f17-f039-4627-9d10-edf7152c3a84 · inbound
Inner Monologue: Embodied Reasoning through Planning with Language Models cites this paper.
Inner Monologue: Embodied Reasoning through Planning with Language Models Finetuned Language Models Are Zero-Shot Learners
Reference 57
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T20:10:45.574986Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation f5d123a4-ed59-4e08-833e-4858c6c79ac0 · inbound
Atlas: Few-shot Learning with Retrieval Augmented Language Models cites this paper.
Atlas: Few-shot Learning with Retrieval Augmented Language Models Finetuned Language Models Are Zero-Shot Learners
Reference 16
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-16T13:48:43.154965Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 64e08ac2-84d9-4731-b7c4-98a316e14464 · inbound
BLOOM: A 176B-Parameter Open-Access Multilingual Language Model cites this paper.
BLOOM: A 176B-Parameter Open-Access Multilingual Language Model Finetuned Language Models Are Zero-Shot Learners
Reference 163
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-12T00:51:11.483180Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation a71b896e-5dd9-4d0b-b34b-ccd251fb1f66 · inbound
Galactica: A Large Language Model for Science cites this paper.
Galactica: A Large Language Model for Science Finetuned Language Models Are Zero-Shot Learners
Reference 66
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-13T05:53:22.046324Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation ae6840cf-dd8a-45aa-a244-54edd38ed30c · inbound
Galactica: A Large Language Model for Science cites this paper.
Galactica: A Large Language Model for Science Finetuned Language Models Are Zero-Shot Learners
Reference 247
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-13T05:53:22.282539Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation cdb02ff8-baaa-474d-a5df-8616d22454c1 · inbound
PAL: Program-aided Language Models cites this paper.
PAL: Program-aided Language Models Finetuned Language Models Are Zero-Shot Learners
Reference 41
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T05:02:50.169154Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 23635a30-246e-4ba9-b4e8-79ce61bc5709 · inbound
Discovering Latent Knowledge in Language Models Without Supervision cites this paper.
Discovering Latent Knowledge in Language Models Without Supervision Finetuned Language Models Are Zero-Shot Learners
Reference 33
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T20:34:08.265277Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 0bb49bc5-8c84-45c9-8830-15e6877895b7 · inbound
Editing Models with Task Arithmetic cites this paper.
Editing Models with Task Arithmetic Finetuned Language Models Are Zero-Shot Learners
Reference 103
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T08:09:13.222610Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation ff0450c4-abc3-40fd-9f92-838a8883f979 · inbound
Discovering Language Model Behaviors with Model-Written Evaluations cites this paper.
Discovering Language Model Behaviors with Model-Written Evaluations Finetuned Language Models Are Zero-Shot Learners
Reference 12
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-15T06:20:04.578392Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 0a2c0407-d619-4897-9a59-d033122067ba · inbound
ART: Automatic multi-step reasoning and tool-use for large language models cites this paper.
ART: Automatic multi-step reasoning and tool-use for large language models Finetuned Language Models Are Zero-Shot Learners
Reference 37
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-16T19:03:06.013239Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation fa98f729-a728-4412-9f19-0317aa919669 · inbound
LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention cites this paper.
LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention Finetuned Language Models Are Zero-Shot Learners
Reference 152
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-14T23:07:42.558625Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation bc9b2114-30f6-4425-8195-08c8caa50da0 · inbound
BloombergGPT: A Large Language Model for Finance cites this paper.
BloombergGPT: A Large Language Model for Finance Finetuned Language Models Are Zero-Shot Learners
Reference 125
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-13T23:19:46.855253Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 90f56292-fa61-484d-a078-b596dada1476 · inbound
CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model Society cites this paper.
CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model Society Finetuned Language Models Are Zero-Shot Learners
Reference 121
- Resolution
- verified exact
- local_arxiv, observed 2026-05-14T01:40:53.837596Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation da24d27c-b364-4a3a-b11a-11dba067aecb · inbound
RAFT: Reward rAnked FineTuning for Generative Foundation Model Alignment cites this paper.
RAFT: Reward rAnked FineTuning for Generative Foundation Model Alignment Finetuned Language Models Are Zero-Shot Learners
Reference 91
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-18T00:46:56.852573Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 92bae950-b41d-48b9-aa50-246fb9ab212b · inbound
LLM+P: Empowering Large Language Models with Optimal Planning Proficiency cites this paper.
LLM+P: Empowering Large Language Models with Optimal Planning Proficiency Finetuned Language Models Are Zero-Shot Learners
Reference 6
- Resolution
- verified exact
- local_arxiv, observed 2026-05-14T18:36:18.600675Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 628dd3dd-ad53-4721-b461-f674c2de4879 · inbound
WizardLM: Empowering large pre-trained language models to follow complex instructions cites this paper.
WizardLM: Empowering large pre-trained language models to follow complex instructions Finetuned Language Models Are Zero-Shot Learners
Reference 45
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T07:28:24.971475Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 1e96d96f-2e2e-4afc-a6ac-cc45db18fe23 · inbound
Towards Expert-Level Medical Question Answering with Large Language Models cites this paper.
Towards Expert-Level Medical Question Answering with Large Language Models Finetuned Language Models Are Zero-Shot Learners
Reference 16
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-24T04:32:33.408559Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 0f245d9f-e892-438d-88c9-6b540c9c0745 · inbound
Enhancing Chat Language Models by Scaling High-quality Instructional Conversations cites this paper.
Enhancing Chat Language Models by Scaling High-quality Instructional Conversations Finetuned Language Models Are Zero-Shot Learners
Reference 261
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T17:25:08.164003Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation aeb72279-3176-4d6d-9db9-27607e0f93a6 · inbound
QLoRA: Efficient Finetuning of Quantized LLMs cites this paper.
QLoRA: Efficient Finetuning of Quantized LLMs Finetuned Language Models Are Zero-Shot Learners
Reference 62
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T13:29:53.727742Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 7d8c8fc6-adf7-4906-8edd-ed856a7401e0 · inbound
Scaling Data-Constrained Language Models cites this paper.
Scaling Data-Constrained Language Models Finetuned Language Models Are Zero-Shot Learners
Reference 125
- Resolution
- verified exact
- local_arxiv, observed 2026-05-18T01:35:21.450664Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 351b9757-bee0-45c0-86fe-70c79d23cc7b · inbound
PandaGPT: One Model To Instruction-Follow Them All cites this paper.
PandaGPT: One Model To Instruction-Follow Them All Finetuned Language Models Are Zero-Shot Learners
Reference 28
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T09:01:37.145850Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 46204a60-7f25-497f-aa98-dab5eb9a7416 · inbound
AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration cites this paper.
AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration Finetuned Language Models Are Zero-Shot Learners
Reference 33
- Resolution
- verified exact
- local_arxiv, observed 2026-05-24T08:29:11.356335Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 2f529359-2d9e-40ff-b5f2-39e47f9b7ab0 · inbound
Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena cites this paper.
Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena Finetuned Language Models Are Zero-Shot Learners
Reference 46
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T21:14:13.786069Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation b8d2bf48-b6f3-42bc-915f-f17fb179e42f · inbound
A Survey on Multimodal Large Language Models cites this paper.
A Survey on Multimodal Large Language Models Finetuned Language Models Are Zero-Shot Learners
Reference 20
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T02:56:42.307727Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation f5e60e56-5819-4542-a968-74031c471d49 · inbound
OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models cites this paper.
OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models Finetuned Language Models Are Zero-Shot Learners
Reference 37
- Resolution
- verified exact
- local_arxiv, observed 2026-05-14T01:52:01.325864Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation d413bf27-23fc-4bc9-a920-116df1570582 · inbound
Scaling Relationship on Learning Mathematical Reasoning with Large Language Models cites this paper.
Scaling Relationship on Learning Mathematical Reasoning with Large Language Models Finetuned Language Models Are Zero-Shot Learners
Reference 99
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T00:22:11.030989Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 430aee4f-c95c-441b-9ace-667266ad2bd6 · inbound
Simple synthetic data reduces sycophancy in large language models cites this paper.
Simple synthetic data reduces sycophancy in large language models Finetuned Language Models Are Zero-Shot Learners
Reference 48
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-16T14:48:08.720758Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation dddffad0-175c-4050-bfde-74dcb71c60fb · inbound
An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning cites this paper.
An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning Finetuned Language Models Are Zero-Shot Learners
Reference 16
- Resolution
- verified exact
- local_arxiv, observed 2026-05-18T08:26:42.024969Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 9fedb3cd-cf18-480a-add6-225da0d3ccf1 · inbound
MM-LIMA: Less Is More for Alignment in Multi-Modal Datasets cites this paper.
MM-LIMA: Less Is More for Alignment in Multi-Modal Datasets Finetuned Language Models Are Zero-Shot Learners
Reference 37
- Resolution
- verified exact
- local_arxiv, observed 2026-05-24T08:14:10.225479Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation c26374a8-e67f-454f-9759-d94daa853702 · inbound
C-Pack: Packed Resources For General Chinese Embeddings cites this paper.
C-Pack: Packed Resources For General Chinese Embeddings Finetuned Language Models Are Zero-Shot Learners
Reference 59
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T13:24:32.158122Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation ee80047a-1256-4b8d-9fed-f0e06041bfa3 · inbound
Improved Baselines with Visual Instruction Tuning cites this paper.
Improved Baselines with Visual Instruction Tuning Finetuned Language Models Are Zero-Shot Learners
Reference 51
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 95d20231-989e-4bf1-8022-e3f4a33f17af · inbound
Llemma: An Open Language Model For Mathematics cites this paper.
Llemma: An Open Language Model For Mathematics Finetuned Language Models Are Zero-Shot Learners
Reference 189
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-19T08:17:46.383959Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 56fdcec2-ac5a-4ebe-8b8c-7927db688aaf · inbound
The Falcon Series of Open Language Models cites this paper.
The Falcon Series of Open Language Models Finetuned Language Models Are Zero-Shot Learners
Reference 12
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-16T09:46:09.920473Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 84aafd0a-3c0c-41e1-8982-926c41791001 · inbound
Steering Llama 2 via Contrastive Activation Addition cites this paper.
Steering Llama 2 via Contrastive Activation Addition Finetuned Language Models Are Zero-Shot Learners
Reference 63
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-11T20:37:21.273389Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 265bd5fc-1565-4a74-bc94-859bd12c84bd · inbound
Agent AI: Surveying the Horizons of Multimodal Interaction cites this paper.
Agent AI: Surveying the Horizons of Multimodal Interaction Finetuned Language Models Are Zero-Shot Learners
Reference 242
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-18T14:25:59.743860Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 763f42ac-7f9f-4424-95d4-44f2f663cf0f · inbound
Self-Rewarding Language Models cites this paper.
Self-Rewarding Language Models Finetuned Language Models Are Zero-Shot Learners
Reference 28
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-13T12:01:42.405453Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 3aa4e727-1c99-4b27-9721-407b05a417f6 · inbound
A Roadmap to Pluralistic Alignment cites this paper.
A Roadmap to Pluralistic Alignment Finetuned Language Models Are Zero-Shot Learners
Reference 259
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-16T14:37:53.625941Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation be06f671-77ee-44ff-bdbf-085f8baf8607 · inbound
Large Language Models: A Survey cites this paper.
Large Language Models: A Survey Finetuned Language Models Are Zero-Shot Learners
Reference 78
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T15:22:55.187671Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation d0a8458e-919a-45f3-9f4a-c01d9aae7279 · inbound
Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models cites this paper.
Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models Finetuned Language Models Are Zero-Shot Learners
Reference 76
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T13:43:11.149906Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation d8c5a180-ea0d-4c9c-be1e-f9cf4dde3025 · inbound
ORPO: Monolithic Preference Optimization without Reference Model cites this paper.
ORPO: Monolithic Preference Optimization without Reference Model Finetuned Language Models Are Zero-Shot Learners
Reference 55
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-16T09:34:04.714041Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation c407070c-97fc-40e8-b3c0-973948e789eb · inbound
MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training cites this paper.
MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training Finetuned Language Models Are Zero-Shot Learners
Reference 116
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-16T04:09:36.315847Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 2fbfde7d-d667-4125-9940-4d4dc77cc35c · inbound
Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models cites this paper.
Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models Finetuned Language Models Are Zero-Shot Learners
Reference 30
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T07:44:47.536785Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation f823ff9f-4229-467c-ad88-612de90c9337 · inbound
MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies cites this paper.
MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies Finetuned Language Models Are Zero-Shot Learners
Reference 40
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T18:00:53.573061Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 6e8da553-de9e-4945-9522-d94595b1c854 · inbound
Capabilities of Gemini Models in Medicine cites this paper.
Capabilities of Gemini Models in Medicine Finetuned Language Models Are Zero-Shot Learners
Reference 188
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-15T17:13:23.052001Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 33f6621d-d51d-4511-8df6-d546176cf8f0 · inbound
Uncovering Logit Suppression Vulnerabilities in LLM Safety Alignment cites this paper.
Uncovering Logit Suppression Vulnerabilities in LLM Safety Alignment Finetuned Language Models Are Zero-Shot Learners
Reference 25
- Resolution
- verified exact
- local_arxiv, observed 2026-05-24T00:38:39.996964Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 7adea83a-7fd1-49cb-a1a0-610f3c740a59 · inbound
NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models cites this paper.
NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models Finetuned Language Models Are Zero-Shot Learners
Reference 132
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-14T21:15:16.239517Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 9c9d2d97-92ba-42ad-9d95-6d5d043146aa · inbound
A Survey on Large Language Models for Code Generation cites this paper.
A Survey on Large Language Models for Code Generation Finetuned Language Models Are Zero-Shot Learners
Reference 281
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T20:18:06.789538Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 4b1c60cd-a031-451e-b1cb-0240506499d0 · inbound
Quantifying Geospatial in the Common Crawl Corpus cites this paper.
Quantifying Geospatial in the Common Crawl Corpus Finetuned Language Models Are Zero-Shot Learners
Reference 36
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-23T23:55:53.604409Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation d82cb1bb-c1f6-4157-bf7a-6c337b061b88 · inbound
RouteLLM: Learning to Route LLMs with Preference Data cites this paper.
RouteLLM: Learning to Route LLMs with Preference Data Finetuned Language Models Are Zero-Shot Learners
Reference 33
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T23:27:40.689897Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation ec8b3d56-9f4a-4143-a926-b019674bcae3 · inbound
LLaVA-OneVision: Easy Visual Task Transfer cites this paper.
LLaVA-OneVision: Easy Visual Task Transfer Finetuned Language Models Are Zero-Shot Learners
Reference 136
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T21:14:13.786069Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation b0ab8e0b-ad66-4909-8b2f-3a6f35e5f6b6 · inbound
Recent Advances in Multimodal Affective Computing: An NLP Perspective cites this paper.
Recent Advances in Multimodal Affective Computing: An NLP Perspective Finetuned Language Models Are Zero-Shot Learners
Reference 34
- Resolution
- verified exact
- local_arxiv, observed 2026-05-23T21:23:27.951815Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation c2530f8f-9bde-406f-a677-67c537ab8965 · inbound
$\pi_0$: A Vision-Language-Action Flow Model for General Robot Control cites this paper.
$\pi_0$: A Vision-Language-Action Flow Model for General Robot Control Finetuned Language Models Are Zero-Shot Learners
Reference 53
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T21:14:13.786069Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 0579348a-dcc8-4ed5-93c3-282cc02832c5 · inbound
MolReFlect: Towards In-Context Fine-grained Alignments between Molecules and Texts cites this paper.
MolReFlect: Towards In-Context Fine-grained Alignments between Molecules and Texts Finetuned Language Models Are Zero-Shot Learners
Reference 37
- Resolution
- verified exact
- local_arxiv, observed 2026-05-23T16:45:42.465014Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 57e026c5-4191-4f7a-9d19-aae3e2078ea7 · inbound
Large Language Model-Brained GUI Agents: A Survey cites this paper.
Large Language Model-Brained GUI Agents: A Survey Finetuned Language Models Are Zero-Shot Learners
Reference 79
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T11:08:27.620577Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation ded86950-a11a-4d80-a47b-2fd34c9bf36b · inbound
Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling cites this paper.
Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling Finetuned Language Models Are Zero-Shot Learners
Reference 259
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T21:14:13.786069Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 806b024e-f22d-4e75-8cf5-9a02fe8dc1ca · inbound
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models cites this paper.
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models Finetuned Language Models Are Zero-Shot Learners
Reference 160
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T21:20:59.352679Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation f1f82c3a-ec46-49f0-be8e-14dbeb3b92b6 · inbound
Algorithm for Automatic Legislative Text Consolidation cites this paper.
Algorithm for Automatic Legislative Text Consolidation Finetuned Language Models Are Zero-Shot Learners
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T10:43:49.256303Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2046e478-c791-4813-b3fb-813645a68a01 · inbound
Irony Detection, Reasoning and Understanding in Zero-shot Learning cites this paper.
Irony Detection, Reasoning and Understanding in Zero-shot Learning Finetuned Language Models Are Zero-Shot Learners
Reference 51
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T05:55:07.666904Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 00d7ed39-2834-4e58-ada3-f6af882559da · inbound
R.I.P.: Better Models by Survival of the Fittest Prompts cites this paper.
R.I.P.: Better Models by Survival of the Fittest Prompts Finetuned Language Models Are Zero-Shot Learners
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T23:02:23.428367Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3585f933-84c3-417b-a53e-9680420aa2b0 · inbound
INT: Instance-Specific Negative Mining for Task-Generic Promptable Segmentation cites this paper.
INT: Instance-Specific Negative Mining for Task-Generic Promptable Segmentation Finetuned Language Models Are Zero-Shot Learners
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T22:41:21.228960Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fa315409-ae75-4324-83f9-ad0803a6df70 · inbound
SocratiQ: A Generative AI-Powered Learning Companion for Personalized Education and Broader Accessibility cites this paper.
SocratiQ: A Generative AI-Powered Learning Companion for Personalized Education and Broader Accessibility Finetuned Language Models Are Zero-Shot Learners
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T19:25:37.115435Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 92e33961-2677-4e59-a605-8951d690c751 · inbound
"I am bad": Interpreting Stealthy, Universal and Robust Audio Jailbreaks in Audio-Language Models cites this paper.
"I am bad": Interpreting Stealthy, Universal and Robust Audio Jailbreaks in Audio-Language Models Finetuned Language Models Are Zero-Shot Learners
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T18:05:52.386625Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 136b2f8b-8475-4bd4-b39d-d588223f7d77 · inbound
Sundial: A Family of Highly Capable Time Series Foundation Models cites this paper.
Sundial: A Family of Highly Capable Time Series Foundation Models Finetuned Language Models Are Zero-Shot Learners
Reference 23
- Resolution
- verified exact
- local_arxiv, observed 2026-05-23T04:32:33.872773Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation ba3ab870-f59b-40cd-a744-58876bae97f0 · inbound
SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model cites this paper.
SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model Finetuned Language Models Are Zero-Shot Learners
Reference 239
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T17:30:03.044777Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 00a61132-d8b6-42e9-b6f6-2ceac0fed9f1 · inbound
It's All in The [MASK]: Simple Instruction-Tuning Enables BERT-like Masked Language Models As Generative Classifiers cites this paper.
It's All in The [MASK]: Simple Instruction-Tuning Enables BERT-like Masked Language Models As Generative Classifiers Finetuned Language Models Are Zero-Shot Learners
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T00:49:12.110889Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c9c946fe-5772-4994-8eb3-d85cd64840c8 · inbound
LLMs can be easily Confused by Instructional Distractions cites this paper.
LLMs can be easily Confused by Instructional Distractions Finetuned Language Models Are Zero-Shot Learners
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T10:50:12.514880Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 43bd9f35-ad77-48db-9ce2-849ef61a4784 · inbound
A Survey on Backdoor Threats in Large Language Models (LLMs): Attacks, Defenses, and Evaluations cites this paper.
A Survey on Backdoor Threats in Large Language Models (LLMs): Attacks, Defenses, and Evaluations Finetuned Language Models Are Zero-Shot Learners
Reference 151
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T00:50:00.649594Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d1539672-6fd0-4763-b065-87dfc41677d2 · inbound
MTPChat: A Multimodal Time-Aware Persona Dataset for Conversational Agents cites this paper.
MTPChat: A Multimodal Time-Aware Persona Dataset for Conversational Agents Finetuned Language Models Are Zero-Shot Learners
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T17:37:38.151655Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d84f2852-f761-4ef8-b75d-6094eeb443bf · inbound
LowRA: Accurate and Efficient LoRA Fine-Tuning of LLMs under 2 Bits cites this paper.
LowRA: Accurate and Efficient LoRA Fine-Tuning of LLMs under 2 Bits Finetuned Language Models Are Zero-Shot Learners
Reference 50
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T10:26:45.525644Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1a683021-a660-45bd-82ec-5efce0e93bfa · inbound
The Ann Arbor Architecture for Agent-Oriented Programming cites this paper.
The Ann Arbor Architecture for Agent-Oriented Programming Finetuned Language Models Are Zero-Shot Learners
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T20:11:46.306723Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5674c0ee-3a38-4d48-b8d8-20399bf2cbc8 · inbound
SessionRec: Next Session Prediction Paradigm For Generative Sequential Recommendation cites this paper.
SessionRec: Next Session Prediction Paradigm For Generative Sequential Recommendation Finetuned Language Models Are Zero-Shot Learners
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T19:15:11.036356Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f9880e7d-bda4-4b35-a311-11b48830d523 · inbound
Enhancing LLMs for Identifying and Prioritizing Important Medical Jargons from Electronic Health Record Notes Utilizing Data Augmentation: A Comparative Study cites this paper.
Enhancing LLMs for Identifying and Prioritizing Important Medical Jargons from Electronic Health Record Notes Utilizing Data Augmentation: A Comparative Study Finetuned Language Models Are Zero-Shot Learners
Reference 95
- Resolution
- verified exact
- local_arxiv, observed 2026-05-23T01:57:22.853828Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation e381d4cf-fdeb-45b6-ba04-303b68f46f32 · inbound
QExplorer: Large Language Model Based Query Extraction for Toxic Content Exploration cites this paper.
QExplorer: Large Language Model Based Query Extraction for Toxic Content Exploration Finetuned Language Models Are Zero-Shot Learners
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T00:45:32.839143Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3972fa99-9cd9-4ecd-9e34-518d08520455 · inbound
Towards an AI co-scientist cites this paper.
Towards an AI co-scientist Finetuned Language Models Are Zero-Shot Learners
Reference 99
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-11T13:02:44.688130Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation e306be52-6b50-4b03-80c7-4e4eeba3e70e · inbound
In-context Learning vs. Instruction Tuning: The Case of Small and Multilingual Language Models cites this paper.
In-context Learning vs. Instruction Tuning: The Case of Small and Multilingual Language Models Finetuned Language Models Are Zero-Shot Learners
Reference 3
- Resolution
- verified exact
- local_arxiv, observed 2026-05-23T01:42:23.320124Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 5ffb44f3-a933-454c-84aa-e300889cd43c · inbound
Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems cites this paper.
Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems Finetuned Language Models Are Zero-Shot Learners
Reference 69
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T21:42:10.510873Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 6feb5e93-40e7-48da-a5b9-f1836139565e · inbound
Visual Compositional Tuning cites this paper.
Visual Compositional Tuning Finetuned Language Models Are Zero-Shot Learners
Reference 18
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T17:41:53.153690Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 50945e44-a494-4f80-af63-d0672b10154b · inbound
Attacks on Machine-Text Detectors Retain Stylistic Fingerprints cites this paper.
Attacks on Machine-Text Detectors Retain Stylistic Fingerprints Finetuned Language Models Are Zero-Shot Learners
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:37:16.031464Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dded66d9-54f0-4b67-8f41-7a8a539d3f25 · inbound
Implicit Jailbreak Attacks via Cross-Modal Information Concealment on Vision-Language Models cites this paper.
Implicit Jailbreak Attacks via Cross-Modal Information Concealment on Vision-Language Models Finetuned Language Models Are Zero-Shot Learners
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:03:36.759555Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a091388a-3e23-4227-a955-a2b3f362c66a · inbound
Can reasoning models comprehend mathematical problems in Chinese ancient texts? An empirical study based on data from Suanjing Shishu cites this paper.
Can reasoning models comprehend mathematical problems in Chinese ancient texts? An empirical study based on data from Suanjing Shishu Finetuned Language Models Are Zero-Shot Learners
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:01:06.044659Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 345fa35b-3fe2-4a22-a022-ddf5aeaf2816 · inbound
P2P: Automated Paper-to-Poster Generation and Fine-Grained Benchmark cites this paper.
P2P: Automated Paper-to-Poster Generation and Fine-Grained Benchmark Finetuned Language Models Are Zero-Shot Learners
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:23:24.503436Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b97c2028-31f9-49ca-9bdd-9b2b2db9454e · inbound
VeriThinker: Learning to Verify Makes Reasoning Model Efficient cites this paper.
VeriThinker: Learning to Verify Makes Reasoning Model Efficient Finetuned Language Models Are Zero-Shot Learners
Reference 57
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:42:14.659922Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 38233443-b442-4b9d-b6b3-20f8edac88a1 · inbound
Synthesizing and Adapting Error Correction Data for Mobile Large Language Model Applications cites this paper.
Synthesizing and Adapting Error Correction Data for Mobile Large Language Model Applications Finetuned Language Models Are Zero-Shot Learners
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:34:04.858666Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a6817d30-8ecb-421c-ac65-cbb44d0871c3 · inbound
ReFineVLA: Reasoning-Aware Teacher-Guided Transfer Fine-Tuning cites this paper.
ReFineVLA: Reasoning-Aware Teacher-Guided Transfer Fine-Tuning Finetuned Language Models Are Zero-Shot Learners
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:23:17.765456Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0c304d18-9b2e-4200-9b03-bdf1a8c82db5 · inbound
Multimodal Emotion Recognition in Conversations: A Survey of Methods, Trends, Challenges and Prospects cites this paper.
Multimodal Emotion Recognition in Conversations: A Survey of Methods, Trends, Challenges and Prospects Finetuned Language Models Are Zero-Shot Learners
Reference 111
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:56:51.574976Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 98e7bdec-d034-4e89-b96f-203611b907ca · inbound
ManiTaskGen: A Comprehensive Task Generator for Benchmarking and Improving Vision-Language Agents on Embodied Decision-Making cites this paper.
ManiTaskGen: A Comprehensive Task Generator for Benchmarking and Improving Vision-Language Agents on Embodied Decision-Making Finetuned Language Models Are Zero-Shot Learners
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:53:58.927954Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 38db9f30-f768-4547-b2f1-e08ce7790a83 · inbound
Unveiling Instruction-Specific Neurons & Experts: An Analytical Framework for LLM's Instruction-Following Capabilities cites this paper.
Unveiling Instruction-Specific Neurons & Experts: An Analytical Framework for LLM's Instruction-Following Capabilities Finetuned Language Models Are Zero-Shot Learners
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:43:23.649873Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b6245449-8ca9-492f-b0bd-28c16528a617 · inbound
Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning cites this paper.
Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning Finetuned Language Models Are Zero-Shot Learners
Reference 57
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:35:57.497124Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 47311325-f7b2-4ab0-b02f-9908d887457b · inbound
Benign-to-Toxic Jailbreaking: Inducing Harmful Responses from Harmless Prompts cites this paper.
Benign-to-Toxic Jailbreaking: Inducing Harmful Responses from Harmless Prompts Finetuned Language Models Are Zero-Shot Learners
Reference 58
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:01:10.948319Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1c3b19b2-514e-4dc4-8c72-bee9fdeb6b64 · inbound
Rethinking Data Mixture for Large Language Models: A Comprehensive Survey and New Perspectives cites this paper.
Rethinking Data Mixture for Large Language Models: A Comprehensive Survey and New Perspectives Finetuned Language Models Are Zero-Shot Learners
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:33:53.834351Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dfe30051-4830-412b-9905-500de8302b9f · inbound
Beyond path selection: Better LLMs for Scientific Information Extraction with MimicSFT and Relevance and Rule-induced(R$^2$)GRPO cites this paper.
Beyond path selection: Better LLMs for Scientific Information Extraction with MimicSFT and Relevance and Rule-induced(R$^2$)GRPO Finetuned Language Models Are Zero-Shot Learners
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:21:20.884237Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 75acb420-4fe2-4260-86aa-96b9e202a263 · inbound
ChatPD: An LLM-driven Paper-Dataset Networking System cites this paper.
ChatPD: An LLM-driven Paper-Dataset Networking System Finetuned Language Models Are Zero-Shot Learners
Reference 58
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:15:18.685744Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.