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Paper Citation Record · LEDGER

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis

As of 9 August 2026, this Paper Citation Record lists 90 of 90 outbound references and 0 inbound Pith citation observations for arXiv:2502.03843.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2502.03843 v1

Coverage vector

measured 90 of 90 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T00:35:28.571811Z

measured 90 of 90 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

90 of 90 outbound references displayed

  • verified exact1
  • verified fuzzy7
  • unresolved81
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b9c5656e-08a8-4649-a2c5-9c18aecd6f1d · outbound

This paper cites Program Synthesis with Large Language Models.

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis Program Synthesis with Large Language Models

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T00:35:28.166781Z digest=sha256:341330a820afe04021854c282d43bf4d8bf37f112c4eaa287f955bc6c9a310bd

Observation 3e6e5aea-0bb6-4f11-966b-434ae2c153ab · outbound

This paper cites COIG-CQIA: Quality is All You Need for Chinese Instruction Fine-tuning.

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis COIG-CQIA: Quality is All You Need for Chinese Instruction Fine-tuning

Reference 2

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source=arxiv_source observed=2026-08-09T00:35:28.172510Z digest=sha256:9c0a22f7cd1498002ad20e75861157a3e7a3490420cebcb22d13c3a78da712d2

Observation f1bffbc1-2a55-447e-9301-310153491daf · outbound

This paper cites L.; Gao, J.; and Choi, Y.

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis L.; Gao, J.; and Choi, Y

Reference 3

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T00:35:28.177514Z digest=sha256:e210594c6c40dec971821a9fa9fccd86e4c763a0b695180b1bc9ef1f29b099b2

Observation 03140a60-2dcd-4f2a-8403-edea3db02fd4 · outbound

This paper cites an unresolved cited work.

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis Unresolved cited work

Reference 4

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source=arxiv_source observed=2026-08-09T00:35:28.182118Z digest=sha256:01a354dd0dea7039aca829f6ab3221e4c943b0c0b7619bb3a24835d49846d551

Observation 141f84d5-35b3-4951-8c43-335098948030 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis Evaluating Large Language Models Trained on Code

Reference 5

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T00:35:28.186894Z digest=sha256:7fee9c7dbd098a2416f8f00231a66c0a443cd7d79a03371cbe07a00549231b24

Observation 1c0263ca-c696-4b92-a936-056e17fd56a8 · outbound

This paper cites an unresolved cited work.

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis Unresolved cited work

Reference 6

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no resolver link, observed 2026-08-09T00:35:28.191914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T00:35:28.191914Z digest=sha256:5025417b76de7959691f82ffe71156392f8cc59b3762f150556852b944aa51cf

Observation fcb0ca91-2887-4426-b852-57d9b18a601a · outbound

This paper cites T-Eval: Evaluating the Tool Utilization Capability of Large Language Models Step by Step.

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis T-Eval: Evaluating the Tool Utilization Capability of Large Language Models Step by Step

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T00:35:28.196851Z digest=sha256:7a63cec095465a28284fa38e21ce3f3e88c097d07cabc66be0551a32e8cc901a

Observation 9891a7dd-a197-4500-aebb-99b61c6032b8 · outbound

This paper cites Instruction Pre-Training: Language Models are Supervised Multitask Learners.

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis Instruction Pre-Training: Language Models are Supervised Multitask Learners

Reference 8

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T00:35:28.201418Z digest=sha256:4f94eacfdf4e3d5ad087c4261a65831886d2dfc239e33a3133b90f8a780e5ac7

Observation c1f322d4-51c9-4c2e-a110-80419a8937c4 · outbound

This paper cites Adapting Large Language Models to Domains via Reading Comprehension.

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis Adapting Large Language Models to Domains via Reading Comprehension

Reference 9

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T00:35:28.206198Z digest=sha256:e65cce2b1adfa1375eb9fc93a2185fba3ec3dcf17d0f3880d61370c80883077f

Observation 4cb0a96a-ff44-4ac6-9b80-f310fe52704d · outbound

This paper cites an unresolved cited work.

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis Unresolved cited work

Reference 10

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source=arxiv_source observed=2026-08-09T00:35:28.211065Z digest=sha256:c67a0b6f76275e218961d90abc31e9f62062c011fd115ada7f4e9e484ff1623a

Observation f0d16ac3-0c9d-4dda-b650-d9920bc613be · outbound

This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 11

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source=arxiv_source observed=2026-08-09T00:35:28.215476Z digest=sha256:a4bf947e6d795be8b8db2111645218d785aadb0bd84e58f3643dae84e5c9a4aa

Observation 95e1f6e5-5a0b-4f50-bd21-eaf9d3797053 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis Training Verifiers to Solve Math Word Problems

Reference 12

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T00:35:28.220023Z digest=sha256:7d37e1379c359473f89e3f2d1f4e6733e80823420ddc8f8d1ebaa2730df9aa5b

Observation dc19e12e-e73b-4616-92ed-123c5059989f · outbound

This paper cites an unresolved cited work.

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis Unresolved cited work

Reference 13

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no resolver link, observed 2026-08-09T00:35:28.224593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T00:35:28.224593Z digest=sha256:30206b9895d96397b4720f4a9d20bb68d6cc9df52d66e0fb3c26fdd83bece59c

Observation b22a3d0f-3e6b-45c6-b178-aaeee26ba66b · outbound

This paper cites an unresolved cited work.

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis Unresolved cited work

Reference 14

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no resolver link, observed 2026-08-09T00:35:28.228841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T00:35:28.228841Z digest=sha256:5eff167fb5e582d70c107120cff7b2084f2847d8ee09854e8003d05057bd8904

Observation c39af339-a13f-4dcd-af9b-7be04761279b · outbound

This paper cites Efficient and Effective Text Encoding for Chinese LLaMA and Alpaca.

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis Efficient and Effective Text Encoding for Chinese LLaMA and Alpaca

Reference 15

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T00:35:28.233008Z digest=sha256:e69d66ed6ef083dd588382fe1ac4ff7e7f926b4fa4fe988970ed41b39291072b

Observation 627eb22a-a7fa-462c-8d8e-1a68b1ffe32b · outbound

This paper cites an unresolved cited work.

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis Unresolved cited work

Reference 16

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no resolver link, observed 2026-08-09T00:35:28.237557Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T00:35:28.237557Z digest=sha256:82d3113b90fd1b868c9e7a6acfb4d3b36dcdd740021d017c8b3e0a478b7a66de

Observation ca54f6d5-3189-420b-97ad-b82c8b0c0d45 · outbound

This paper cites I.; Leaman, R.; and Lu, Z.

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis I.; Leaman, R.; and Lu, Z

Reference 17

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T00:35:28.242081Z digest=sha256:a43d95c76f3f8311c07bfc3639db7760c937f9e111bf8386b3eb5689836e81da

Observation 448ffbe5-41a9-49da-9ede-bfbf11912816 · outbound

This paper cites Self-play with Execution Feedback: Improving Instruction-following Capabilities of Large Language Models.

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis Self-play with Execution Feedback: Improving Instruction-following Capabilities of Large Language Models

Reference 18

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T00:35:28.246763Z digest=sha256:2962ccb1db21e0006edeee8fe4d13157d2da68d73c5bebb98d0012ed68b90125

Observation ce91cbde-4a43-41a7-a1be-366701fa6f64 · outbound

This paper cites an unresolved cited work.

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis Unresolved cited work

Reference 19

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source=arxiv_source observed=2026-08-09T00:35:28.251472Z digest=sha256:e3fa5022b400d168df706fd436fe08b1707ab6e06663a5d489a11e816dedb2e7

Observation bff20f4a-b9fc-4218-92d2-645400feb217 · outbound

This paper cites The Llama 3 Herd of Models.

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis The Llama 3 Herd of Models

Reference 20

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source=arxiv_source observed=2026-08-09T00:35:28.255972Z digest=sha256:c47b7286741d75304be962d14f80c7d80b2f6a1664075bab47c6b46217685b56

Observation 44980295-a3bf-4da8-8b81-c4c12b2876a7 · outbound

This paper cites L.; Chen, F.; Yao, S.; Hu, R.; Zhu, X.; Smith, J.

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis L.; Chen, F.; Yao, S.; Hu, R.; Zhu, X.; Smith, J

Reference 21

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source=arxiv_source observed=2026-08-09T00:35:28.260523Z digest=sha256:b04d0d62d86c0d8b48a0eb7b50d495fccd1b578bbd6756e78f9981b811e96ad1

Observation d85d1658-db6f-42a0-8d0d-361fac9b7479 · outbound

This paper cites InstructIE: A Bilingual Instruction-based Information Extraction Dataset.

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis InstructIE: A Bilingual Instruction-based Information Extraction Dataset

Reference 22

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T00:35:28.264859Z digest=sha256:c5e30ef3672c090058273e4a7f4c9cb250dd04f5720372884d3f7cb10a320856

Observation b88e4cf5-1bbb-4bc7-8174-331736302d4c · outbound

This paper cites IEPile: Unearthing Large-Scale Schema-Based Information Extraction Corpus.

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis IEPile: Unearthing Large-Scale Schema-Based Information Extraction Corpus

Reference 23

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source=arxiv_source observed=2026-08-09T00:35:28.269749Z digest=sha256:43c26cc69fa6516dd77c21a6ef0d9d9f89528d6a9f221fa5a6faf9640e9ae286

Observation b0f402f6-40b9-438d-b0ac-07cf249509a4 · outbound

This paper cites M.; and Toldo, L.

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis M.; and Toldo, L

Reference 24

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verified fuzzy
raw_fallback, observed 2026-08-09T00:35:29.734046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T00:35:28.274408Z digest=sha256:4485685dd4d1d6ed5823ea244758ca91ea7aaf09f5f8c7c309aafbbb68bf71dd

Observation 24594c7a-c170-4b93-8d2b-1949bf8081a1 · outbound

This paper cites an unresolved cited work.

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis Unresolved cited work

Reference 25

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T00:35:28.278692Z digest=sha256:e862ff2410904e2a335a2de1da16a4b9cfec1eadfc0c08ed996de2d7596aed67

Observation eaf95e21-29af-4071-a7a6-7e33e9532ff4 · outbound

This paper cites an unresolved cited work.

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis Unresolved cited work

Reference 26

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T00:35:28.284257Z digest=sha256:dc3c10f35761d4129782f172e8f077cf260f9afc1bc792565cf44cd4fa74b080

Observation c7eab42e-b8d5-4ca2-be6b-a00b57fa4e68 · outbound

This paper cites an unresolved cited work.

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis Unresolved cited work

Reference 27

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T00:35:28.288449Z digest=sha256:476cdc36d5fbb14e752a43aacde38127fae052c8aae9e980154bc6f1c31b3c59

Observation 999e111e-1e6c-4faf-8a26-51fd91a643db · outbound

This paper cites an unresolved cited work.

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis Unresolved cited work

Reference 28

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T00:35:28.292753Z digest=sha256:69e6430d6ad362005d25eeef9db57fe11f77f173af380af11bcf040f3122c624

Observation ff8b0aae-7224-4e4e-ae4a-e50e837a73f0 · outbound

This paper cites H.; Marcus, M.

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis H.; Marcus, M

Reference 29

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verified fuzzy
raw_fallback, observed 2026-08-09T00:35:29.665277Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T00:35:28.296974Z digest=sha256:99b1a5733eee221e823a30ffd3cabc0adcbcd60eb04973ec017232e30e05f8c6

Observation 3b90362f-6a8c-4ec5-a2ff-66877fecb5b4 · outbound

This paper cites an unresolved cited work.

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis Unresolved cited work

Reference 30

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T00:35:28.301327Z digest=sha256:d3fdd0e725190e2eac5e950ca5befe2cbca3cd571e46d5da43d1681e68228903

Observation 1a556efa-24d7-42ee-ab57-632e388a3e47 · outbound

This paper cites an unresolved cited work.

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis Unresolved cited work

Reference 31

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raw_fallback, observed 2026-08-09T00:35:29.636790Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T00:35:28.305510Z digest=sha256:900f5f2238b7548c544a0dda6e28070ecb5183d61bf93fd802f43a72dc8fc549

Observation 0af48f9f-9463-405e-a665-2e149d1eb158 · outbound

This paper cites Improving Distantly Supervised Relation Extraction using Word and Entity Based Attention.

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis Improving Distantly Supervised Relation Extraction using Word and Entity Based Attention

Reference 32

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source=arxiv_source observed=2026-08-09T00:35:28.309660Z digest=sha256:02d50c976551d931ca8f5e9b4ea14a718e05fe06185d1d7a892d367dd1395bb7

Observation 4e20cd14-b4a3-4cb4-8a46-49c3f5db59ef · outbound

This paper cites an unresolved cited work.

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis Unresolved cited work

Reference 33

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T00:35:28.314118Z digest=sha256:8dbfe982636d0cbf074ef31c931f68d2dfbe73466f46dc835099b5788791febf

Observation 4f050cee-aeed-4c39-adbf-6bcef7807b9d · outbound

This paper cites S.; and Zettlemoyer, L.

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis S.; and Zettlemoyer, L

Reference 34

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raw_fallback, observed 2026-08-09T00:35:29.606746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T00:35:28.318650Z digest=sha256:48a06e7fd944ffcda3e565591ba2cf5cbde7f5466c1b0ef07c6451f2226f929e

Observation a6994107-eb92-404b-b0d5-f0214b16c43a · outbound

This paper cites an unresolved cited work.

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis Unresolved cited work

Reference 35

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T00:35:28.322852Z digest=sha256:81d31847fb6f2d25dc300df1fbb75ebbaa91facbf2462f894498146a25353166

Observation 8f691810-02a6-456e-9c0b-95168113e527 · outbound

This paper cites an unresolved cited work.

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis Unresolved cited work

Reference 36

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T00:35:28.327236Z digest=sha256:db6ce23f759b9ffc6272729b46ab8f93b4ec69936e38ae774d7fa8ca64ca76d6

Observation f8e000bf-7d01-4fa4-9979-5fdc7024b1dd · outbound

This paper cites an unresolved cited work.

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis Unresolved cited work

Reference 37

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raw_fallback, observed 2026-08-09T00:35:29.562618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T00:35:28.331464Z digest=sha256:005f1eb8e4e18e35a3dff5d2ed06fc7166062418aa8829ab7b059bfeb7ee6ea2

Observation fbb23203-b403-4b45-b9d2-49cd1e6484bb · outbound

This paper cites an unresolved cited work.

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis Unresolved cited work

Reference 38

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unresolved
raw_fallback, observed 2026-08-09T00:35:29.547990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T00:35:28.335661Z digest=sha256:0b946432d634ebaba701d7c33a469bd4f02277f3a44fc73e8f32c321cc429ed4

Observation ceff8eeb-c40f-4281-ace3-ba4bd532f3f1 · outbound

This paper cites P.; Alberti, C.; Epstein, D.; Polosukhin, I.; Devlin, J.; Lee, K.; Toutanova, K.; Jones, L.; Kelcey, M.; Chang, M.; Dai, A.

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis P.; Alberti, C.; Epstein, D.; Polosukhin, I.; Devlin, J.; Lee, K.; Toutanova, K.; Jones, L.; Kelcey, M.; Chang, M.; Dai, A

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-09T00:35:28.340276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T00:35:28.340276Z digest=sha256:c920edcfb04a6f79c26fa70f3986025c35567e0e7cdabbf076053b201b838e74

Observation 8503b5c3-10ce-4fe2-bfa4-ada8bf7a2c37 · outbound

This paper cites an unresolved cited work.

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-08-09T00:35:29.523814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T00:35:28.344612Z digest=sha256:a14d7169529583583569bb9f66cc719d56cfbd2b9f311bc57e4c59c24bc18aa0

Observation 88bc9405-a1a7-4593-9702-1da4fb289031 · outbound

This paper cites Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models.

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-09T00:35:28.348980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T00:35:28.348980Z digest=sha256:78102799bd4f3ba6b0af47e5a4ee628b380c8aac72e811f1419b125b692a5c59

Observation 723fb97c-bcec-4bfe-ba4c-4b3063cdd0f3 · outbound

This paper cites CMMLU: Measuring massive multitask language understanding in Chinese.

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis CMMLU: Measuring massive multitask language understanding in Chinese

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-09T00:35:28.353891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T00:35:28.353891Z digest=sha256:35bf86ea8e0f9d8bda6dcbbca4d860e97a4adfac608937ccfc0d61f5eb9401d1

Observation 05581b90-b486-4103-8d99-31c172c0fa14 · outbound

This paper cites an unresolved cited work.

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis Unresolved cited work

Reference 43

Resolution
unresolved
raw_fallback, observed 2026-08-09T00:35:29.509422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T00:35:28.358706Z digest=sha256:58a0e0e83e614d5c965b9812cecebcf4e21d192e4eccdeb6ae51d3204a1fa6da

Observation 1ae393a4-9c31-4f3d-9f52-9d1c10fd2456 · outbound

This paper cites an unresolved cited work.

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis Unresolved cited work

Reference 44

Resolution
unresolved
raw_fallback, observed 2026-08-09T00:35:29.494858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T00:35:28.363213Z digest=sha256:f6bb9a83ea77dba93e3ff9c28b9ee957b1959fb1e798d1a6971618e50644a6d7

Observation 55bd0531-f587-4807-b280-f76d0a3d3174 · outbound

This paper cites an unresolved cited work.

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis Unresolved cited work

Reference 45

Resolution
unresolved
raw_fallback, observed 2026-08-09T00:35:29.480291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T00:35:28.367722Z digest=sha256:48ff0b46209ee7246c50acd81818cd9bec5f14f857a111fa726c962d94fd15b1

Observation 59c9a696-cd83-491b-b592-07d87fdbec02 · outbound

This paper cites an unresolved cited work.

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis Unresolved cited work

Reference 46

Resolution
unresolved
raw_fallback, observed 2026-08-09T00:35:29.465932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T00:35:28.372175Z digest=sha256:9b0620da1931e1d4b1091ae00e011695e81ba334f22e9442826c52ab0d968eca

Observation 939166ee-70b9-498e-949c-9d9518ac48b5 · outbound

This paper cites an unresolved cited work.

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis Unresolved cited work

Reference 47

Resolution
unresolved
raw_fallback, observed 2026-08-09T00:35:29.451229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T00:35:28.376688Z digest=sha256:08eb480d8cd5813dfe75b598a023e2f60ee653a608e40a27c1e5c4c0e5a61bf5

Observation 30313ad7-2b70-4a82-9110-6e0a218fec46 · outbound

This paper cites an unresolved cited work.

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis Unresolved cited work

Reference 48

Resolution
unresolved
raw_fallback, observed 2026-08-09T00:35:29.436132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T00:35:28.381253Z digest=sha256:f9c360aa3c094df3e7fe7b268b3bb08f013afa0705a388b9e09178de592ed330

Observation 62703fcb-ecde-47b6-bcf2-c67231fde6de · outbound

This paper cites an unresolved cited work.

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis Unresolved cited work

Reference 49

Resolution
unresolved
raw_fallback, observed 2026-08-09T00:35:29.421031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T00:35:28.385535Z digest=sha256:8507289cf0e203c250f0253aba9b28b38565a70cf18008d434ad9128261544b8

Observation 8e92fa43-4a1b-4986-bff3-1e8b1d2d2aaf · outbound

This paper cites an unresolved cited work.

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis Unresolved cited work

Reference 50

Resolution
unresolved
raw_fallback, observed 2026-08-09T00:35:29.405392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T00:35:28.390117Z digest=sha256:c6f97636d91cb7cc40bfd57de70dae1d892d000c39de6c91b50e0b478d031015

Observation f578c8b7-33de-4c8c-a254-51e386363da7 · outbound

This paper cites an unresolved cited work.

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis Unresolved cited work

Reference 51

Resolution
unresolved
raw_fallback, observed 2026-08-09T00:35:29.390902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T00:35:28.394492Z digest=sha256:084547a3a33aa7698867a359951e4064f02a61b7770fc43b14899423c73d6ee7

Observation 504896f3-363f-4c77-99e7-ff46745848ac · outbound

This paper cites L.; Daly, R.

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis L.; Daly, R

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T00:35:29.376270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T00:35:28.398839Z digest=sha256:2d7f3a0f738ecd758afc910b9dfde6f562fa8c1b6243fc9f8a5e5e23365a9e7f

Observation ebc0fe54-4f8e-48eb-84af-359041c53af3 · outbound

This paper cites an unresolved cited work.

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis Unresolved cited work

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-09T00:35:28.403111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T00:35:28.403111Z digest=sha256:081cc742a31c57c8c231367bbeb105537c5dd5339643c81d7831a91e73f780bc

Observation 8c6dc864-5879-4799-9780-368fb528c4c3 · outbound

This paper cites SemEval-2024 Task 1: Semantic Textual Relatedness for African and Asian Languages.

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis SemEval-2024 Task 1: Semantic Textual Relatedness for African and Asian Languages

Reference 54

Resolution
metadata mismatch
local_arxiv, observed 2026-08-09T00:35:28.846293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T00:35:28.407438Z digest=sha256:c0d790152db7e07e0dade905211b207022253ac866cd3ec8f63da02a4e30c14a

Observation f7199f42-6cb6-43fe-8a38-abe1c33eecfb · outbound

This paper cites an unresolved cited work.

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis Unresolved cited work

Reference 55

Resolution
unresolved
raw_fallback, observed 2026-08-09T00:35:29.352792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T00:35:28.411943Z digest=sha256:611567c6e32970639be274a155c9d9117380b36b60fbe2cc38015a6eabebea64

Observation 35675f47-206c-4985-899b-75993bfd041f · outbound

This paper cites ADELIE: Aligning Large Language Models on Information Extraction.

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis ADELIE: Aligning Large Language Models on Information Extraction

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-09T00:35:28.416332Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T00:35:28.416332Z digest=sha256:7323ad9319b388781c7f0e435df8715c99662871e8a519393feec13559d25821

Observation e54c0cc5-2b7d-4c50-8fa9-9d99d5fab76b · outbound

This paper cites an unresolved cited work.

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis Unresolved cited work

Reference 57

Resolution
unresolved
raw_fallback, observed 2026-08-09T00:35:29.338971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T00:35:28.420830Z digest=sha256:122e0bdd6b69fa6f33a1fc905ea683f7b74663a53170f7c86e9fe4072188023b

Observation 6e0ec7b7-37af-495e-a2ec-c2d73d37454e · outbound

This paper cites an unresolved cited work.

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis Unresolved cited work

Reference 58

Resolution
unresolved
raw_fallback, observed 2026-08-09T00:35:29.324457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T00:35:28.425524Z digest=sha256:a68ee03eb4ae00b2511d90017c8e60b8977e4db97e4524900062d6c70a2e6ace

Observation bc11fad6-1617-4c35-8384-861802dac5fe · outbound

This paper cites GoLLIE: Annotation Guidelines improve Zero-Shot Information-Extraction.

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis GoLLIE: Annotation Guidelines improve Zero-Shot Information-Extraction

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-09T00:35:28.429993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T00:35:28.429993Z digest=sha256:1057b34144c54d971d161b3e982ec12987df89c5987b3c0f37b399c0328d4de5

Observation 57e8bb53-07ab-4925-bab7-1e31daf18d97 · outbound

This paper cites an unresolved cited work.

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis Unresolved cited work

Reference 60

Resolution
unresolved
raw_fallback, observed 2026-08-09T00:35:29.310692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T00:35:28.434643Z digest=sha256:dbcff506f92252b243d64b11a72e09e158d4d8c0924b78b891d26ec08b3de9f4

Observation 4c2e3568-89aa-4e1d-a02b-09cda42c3a09 · outbound

This paper cites an unresolved cited work.

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis Unresolved cited work

Reference 61

Resolution
unresolved
raw_fallback, observed 2026-08-09T00:35:29.296584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T00:35:28.438951Z digest=sha256:e542f9f45d64db4ac9cce877ba7c1689923962d4f3407b5a475bff9603dc69ea

Observation aee29611-28bf-41a9-ba0f-c3175d9f2491 · outbound

This paper cites an unresolved cited work.

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis Unresolved cited work

Reference 62

Resolution
unresolved
raw_fallback, observed 2026-08-09T00:35:29.282515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T00:35:28.443404Z digest=sha256:a595cade3a5d87b0d3ce0bc504d8d2919addd9bf32b50181891ad49749097a55

Observation f9c82565-06de-4865-a389-1daa4e055726 · outbound

This paper cites an unresolved cited work.

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis Unresolved cited work

Reference 63

Resolution
verified exact
doi, observed 2026-08-09T00:35:28.610337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T00:35:28.447943Z digest=sha256:c7075c7f72bcd4df6a04525f3871f2d4af48eeb3000bf6d2605cbceca0713343

Observation 8e7f32d7-61bb-48a8-aaa5-7e83ffaadad6 · outbound

This paper cites an unresolved cited work.

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis Unresolved cited work

Reference 64

Resolution
unresolved
raw_fallback, observed 2026-08-09T00:35:29.268048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T00:35:28.452454Z digest=sha256:b1e8484d95040b48e7b8258bebc5c512eb15721a164059bcfd78b4d1f69bc660

Observation e9bdb340-fc61-441a-a031-53a2247117a0 · outbound

This paper cites C.; John, B.; Greene, N.; Kim, J.; and He, Y.

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis C.; John, B.; Greene, N.; Kim, J.; and He, Y

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T00:35:29.252820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T00:35:28.456643Z digest=sha256:7f8f89ef61f896dcc6f6386962fa7b1d458d7befa81c852f8b69e7db0aa71b6b

Observation e181b004-111a-4409-a11c-a04f355412e2 · outbound

This paper cites W.; Chowdhery, A.; Le, Q.

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis W.; Chowdhery, A.; Le, Q

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T00:35:29.238360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T00:35:28.461369Z digest=sha256:dd7be3fe6cd98817cff0023bfa622b23885ecc0e325715f7fd970248a65061a5

Observation a3c0c221-c558-4b45-b9d5-e47e387cd2cc · outbound

This paper cites an unresolved cited work.

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis Unresolved cited work

Reference 67

Resolution
unresolved
raw_fallback, observed 2026-08-09T00:35:29.223279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T00:35:28.465743Z digest=sha256:a2f83b02f2f1c3c88a35c44cecfaa53fd6c841e20ec5292fd76a5347c24912cf

Observation 0011c256-00f9-468d-b27e-93f189478b7d · outbound

This paper cites an unresolved cited work.

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis Unresolved cited work

Reference 68

Resolution
unresolved
raw_fallback, observed 2026-08-09T00:35:29.207922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T00:35:28.470002Z digest=sha256:2c043e9976dc64526036ff327ec31ae7824e72899060d3257b279167866f42d7

Observation 5d93f0d1-e840-48c5-8e51-6ef87ab08381 · outbound

This paper cites an unresolved cited work.

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis Unresolved cited work

Reference 69

Resolution
unresolved
raw_fallback, observed 2026-08-09T00:35:29.193835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T00:35:28.474441Z digest=sha256:3b07d1629b60eb506c7c955980c0678868c4ee4b4a9e9fd0821597f5ee5b55f7

Observation 73907357-d1d8-4902-abad-b23d332d10fb · outbound

This paper cites InstructUIE: Multi-task Instruction Tuning for Unified Information Extraction.

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis InstructUIE: Multi-task Instruction Tuning for Unified Information Extraction

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-09T00:35:28.478770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T00:35:28.478770Z digest=sha256:a3d9804b89d9d05dd49247e4884ae8ad91c0813aeb4a70db9d7c620b09489285

Observation 829843c2-8d6a-466f-966d-22978e9de6b0 · outbound

This paper cites A.; Khashabi, D.; and Hajishirzi, H.

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis A.; Khashabi, D.; and Hajishirzi, H

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T00:35:29.179547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T00:35:28.483159Z digest=sha256:dd08a195fac0a686b3885b8daae6d6abceadcc0d2521dc78d13869ec92ae93d7

Observation e04ac125-170c-4bbf-9cad-8eb20172bf35 · outbound

This paper cites Large Language Models Are Zero-Shot Text Classifiers.

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis Large Language Models Are Zero-Shot Text Classifiers

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-09T00:35:28.487477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T00:35:28.487477Z digest=sha256:701ebde5bf421b0507e10c8e241ddddea8af4965b81e2fb3ccbbdf704526e31f

Observation 7876883f-be02-4a52-9b1a-b0d25c97342b · outbound

This paper cites an unresolved cited work.

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis Unresolved cited work

Reference 73

Resolution
unresolved
raw_fallback, observed 2026-08-09T00:35:29.165006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T00:35:28.491957Z digest=sha256:2357bb5934d2fa118ba7b6c29802d04044ec0ad185c270748efb8da0489953e0

Observation ae3c1859-f2eb-40fb-bf58-8d39fb9fed3d · outbound

This paper cites YAYI-UIE: A Chat-Enhanced Instruction Tuning Framework for Universal Information Extraction.

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis YAYI-UIE: A Chat-Enhanced Instruction Tuning Framework for Universal Information Extraction

Reference 74

Resolution
unresolved
no resolver link, observed 2026-08-09T00:35:28.496519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T00:35:28.496519Z digest=sha256:a457fb33ca436506e275159baaf13b6753d6a2e98b0efcef13972b2da73090d6

Observation 02ef835d-999c-4ba5-a400-ec03f7cd3027 · outbound

This paper cites an unresolved cited work.

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis Unresolved cited work

Reference 75

Resolution
unresolved
raw_fallback, observed 2026-08-09T00:35:29.150284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T00:35:28.501342Z digest=sha256:d90bc2ea0e731a5982b847c8527bc4594cd97f0fbbdd859f0c374958a21027b5

Observation 3c119f29-57f7-4c43-82e2-153857b4aebf · outbound

This paper cites CLUENER2020: Fine-grained Named Entity Recognition Dataset and Benchmark for Chinese.

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis CLUENER2020: Fine-grained Named Entity Recognition Dataset and Benchmark for Chinese

Reference 76

Resolution
unresolved
no resolver link, observed 2026-08-09T00:35:28.505728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T00:35:28.505728Z digest=sha256:baa90e6111b721a42a078eea6531ae4a86381e00c1d3ffed5c24f353b130210c

Observation f70be947-f7c5-443b-924b-8768e2914f1f · outbound

This paper cites Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing.

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing

Reference 77

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no resolver link, observed 2026-08-09T00:35:28.510409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T00:35:28.510409Z digest=sha256:65dba473f6b1ce6e06e94b7b225804552d6f42413445f38f500f4e9d3828fdfb

Observation 26f5b956-6760-4f6d-90e4-20889f0cdf7b · outbound

This paper cites Baichuan 2: Open Large-scale Language Models.

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis Baichuan 2: Open Large-scale Language Models

Reference 78

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unresolved
no resolver link, observed 2026-08-09T00:35:28.515125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T00:35:28.515125Z digest=sha256:1d858931d4475bdbeca78f394c11e9fd797a3b9cd9788957eddcd03fcdf119d3

Observation 0ecf2619-e02e-4f84-a26f-76f82567d32b · outbound

This paper cites Qwen2 Technical Report.

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis Qwen2 Technical Report

Reference 79

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unresolved
no resolver link, observed 2026-08-09T00:35:28.519850Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T00:35:28.519850Z digest=sha256:c1de30d806beb2fefeb6121b37084c4dab90acef4f79782c4e633cfdff326d8c

Observation c0c7ad9e-da2a-4c5a-aa04-29679cd2b71e · outbound

This paper cites an unresolved cited work.

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis Unresolved cited work

Reference 80

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unresolved
no resolver link, observed 2026-08-09T00:35:28.524451Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T00:35:28.524451Z digest=sha256:7ed143327d18b83815477206fe236fd608eea63b968611609187a4f49ce60aa6

Observation 8d52b6c0-cdc4-497d-b59f-da3a69a31420 · outbound

This paper cites Automatic Instruction Evolving for Large Language Models.

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis Automatic Instruction Evolving for Large Language Models

Reference 81

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unresolved
no resolver link, observed 2026-08-09T00:35:28.528765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T00:35:28.528765Z digest=sha256:707360fd9702fb6831679cf5361052caef4521b76a38f2309036f204fc0995db

Observation d8bd1a69-f840-48ba-af4f-9f822cc6dc2c · outbound

This paper cites Relation Classification via Recurrent Neural Network.

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis Relation Classification via Recurrent Neural Network

Reference 82

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no resolver link, observed 2026-08-09T00:35:28.533925Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T00:35:28.533925Z digest=sha256:3d710da34a59bdabccf0f5d2b6b3fce069550b2c6e47a37a0e3e2df9e100672c

Observation dd1664d3-09de-48ed-a0f2-e99051fab13b · outbound

This paper cites Optimizing Bi-Encoder for Named Entity Recognition via Contrastive Learning.

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis Optimizing Bi-Encoder for Named Entity Recognition via Contrastive Learning

Reference 83

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unresolved
no resolver link, observed 2026-08-09T00:35:28.538652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T00:35:28.538652Z digest=sha256:7e2e25458ec13f6030266ed240f5022c4c893a91dbf687cd56390ef4c5b1133d

Observation 4a209798-5e44-4c3b-b160-74f6c9fec81c · outbound

This paper cites Evaluating the Performance of Large Language Models on GAOKAO Benchmark.

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis Evaluating the Performance of Large Language Models on GAOKAO Benchmark

Reference 84

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unresolved
no resolver link, observed 2026-08-09T00:35:28.543376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T00:35:28.543376Z digest=sha256:d7ca44c14f02b5df2d293b846e8dc0abdb37d9532122fad541ccbf889a132fe2

Observation d9516003-f127-4a04-a9d2-77fb139a5d5a · outbound

This paper cites an unresolved cited work.

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis Unresolved cited work

Reference 85

Resolution
unresolved
raw_fallback, observed 2026-08-09T00:35:29.127297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T00:35:28.548092Z digest=sha256:f3301030e3948a6db368226acebe9e0e3adc69b9381ba99ae89236b777eceddb

Observation 25133a51-8999-465d-99a6-7f2a78b69eab · outbound

This paper cites LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models.

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models

Reference 86

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unresolved
no resolver link, observed 2026-08-09T00:35:28.552494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T00:35:28.552494Z digest=sha256:621467b7b598df8bf18c422d67c50fac24394ecf040cc97fe18cd93c18a360dc

Observation d28b1695-489b-4888-b3ea-8132217b6286 · outbound

This paper cites AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models.

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models

Reference 87

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unresolved
no resolver link, observed 2026-08-09T00:35:28.557246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T00:35:28.557246Z digest=sha256:1f020bd690d34c00883a680e16133f334ba59876281014f3090b6b62344efc83

Observation 0aa923c7-1c5e-48bc-9150-9fb9ea13a29e · outbound

This paper cites an unresolved cited work.

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis Unresolved cited work

Reference 88

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unresolved
raw_fallback, observed 2026-08-09T00:35:29.112170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T00:35:28.562125Z digest=sha256:ab0e05a73cd59432ecf82b38ecc795829523090d44a2bf9e02234cff14c220ff

Observation bb7b715f-fd4b-4192-bc8f-244ac0585dc1 · outbound

This paper cites , " * write output.state after.block = add.period write newline.

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis , " * write output.state after.block = add.period write newline

Reference 89

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unresolved
no resolver link, observed 2026-08-09T00:35:28.566701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T00:35:28.566701Z digest=sha256:9bbd46fc16b89b031ed352d962c8783e8e8938f351fde31b665a0e5a916a6e3b

Observation 2e9b561b-0599-4124-b9a3-0b4d0a0aaeba · outbound

This paper cites write newline.

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis write newline

Reference 90

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unresolved
no resolver link, observed 2026-08-09T00:35:28.571811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T00:35:28.571811Z digest=sha256:f4f0e53bbdc57423dc7c727128e05435a53db1ac86e931bf4aee36d4fbcdbab5

Pith citing papers

No inbound Pith citation observations are available.