Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-10T16:49:39.617717Z
Paper Citation Record · LEDGER
Training language models to follow instructions with human feedback
As of 17 July 2026, this Paper Citation Record lists 16 of 16 outbound references and 100 inbound Pith citation observations for arXiv:2203.02155.
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 2026-07-17T06:31:00.352745+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-11T11:50:26.030339Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-10T15:37:20.394630Z
Reference resolution
16 of 16 outbound references displayed
- verified exact0
- verified fuzzy15
- unresolved0
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- malformed identifier1
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation afb0e8ad-0cd8-4cfb-a27d-03514c3c7d6a · outbound
This paper cites Hey, what are you doing there?.
Training language models to follow instructions with human feedback Hey, what are you doing there?
Reference 1
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation 9a517da5-f3f5-42d9-8dc3-25f2d9021569 · outbound
This paper cites We created a dataset of prompts and completions, where some of prompts or completions were sensitive (i.e.
Training language models to follow instructions with human feedback We created a dataset of prompts and completions, where some of prompts or completions were sensitive (i.e
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-10T16:49:39.643462Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation 86cd215a-fccb-43ef-865b-6e1fee0b411e · outbound
This paper cites We take prompts submitted to our API, and several model completions, and have labelers rank the completions by overall quality.
Training language models to follow instructions with human feedback We take prompts submitted to our API, and several model completions, and have labelers rank the completions by overall quality
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-10T16:49:39.647194Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation c53c9f2e-28b6-4454-8682-e920dff8f20e · outbound
This paper cites demonstration score.
Training language models to follow instructions with human feedback demonstration score
Reference 4
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation 3ae18450-3cae-4b8b-94e1-2b05e0b5cb22 · outbound
This paper cites For what topics or cultural groups are you comfortable identifying sensitive speech?.
Training language models to follow instructions with human feedback For what topics or cultural groups are you comfortable identifying sensitive speech?
Reference 5
- Resolution
- malformed identifier
- raw_fallback, observed 2026-05-10T16:49:39.654123Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation f480c237-8190-4c80-86f2-e90aa88fdd64 · outbound
This paper cites an unresolved cited work.
Training language models to follow instructions with human feedback Unresolved cited work
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-10T16:49:39.657241Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation 702ee056-811c-4f85-a957-21bedc48ba69 · outbound
This paper cites an unresolved cited work.
Training language models to follow instructions with human feedback Unresolved cited work
Reference 7
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation 4c184d41-ccbf-4a19-844e-9da756a81460 · outbound
This paper cites an unresolved cited work.
Training language models to follow instructions with human feedback Unresolved cited work
Reference 8
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation 7fe1c01a-3b42-42da-beec-67a31fd43432 · outbound
This paper cites an unresolved cited work.
Training language models to follow instructions with human feedback Unresolved cited work
Reference 9
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation d25d062b-720f-4495-be7c-fd9f7ca950ab · outbound
This paper cites an unresolved cited work.
Training language models to follow instructions with human feedback Unresolved cited work
Reference 11
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation e5b7be36-7073-40e3-8890-e2b0d291823e · outbound
This paper cites an unresolved cited work.
Training language models to follow instructions with human feedback Unresolved cited work
Reference 12
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation a805c210-ce65-4ebf-b7da-b0b2f1214800 · outbound
This paper cites My most fervent wish is that I will not be replaced until a new president is installed.
Training language models to follow instructions with human feedback My most fervent wish is that I will not be replaced until a new president is installed
Reference 13
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation aafff37f-63f5-44e7-9713-b8c995d5b876 · outbound
This paper cites InstructGPT 175B completion.
Training language models to follow instructions with human feedback InstructGPT 175B completion
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-10T16:49:39.673728Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation 094c2a04-9177-466d-9e5f-ba58036d826f · outbound
This paper cites an unresolved cited work.
Training language models to follow instructions with human feedback Unresolved cited work
Reference 15
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation a5c6b4d5-d980-4f77-837f-026c7c195590 · outbound
This paper cites an unresolved cited work.
Training language models to follow instructions with human feedback Unresolved cited work
Reference 16
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation 9ca4a277-3e23-4861-8bc1-617da5cc095b · outbound
This paper cites anxiety lump.
Training language models to follow instructions with human feedback anxiety lump
Reference 17
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Pith citing papers
Observation 1f950518-cdf2-45af-81b8-7c477dcc3b75 · inbound
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models cites this paper.
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models Training language models to follow instructions with human feedback
Reference 45
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation 6d34b840-b1fa-4678-adbf-5b4e3156c7f6 · inbound
InCoder: A Generative Model for Code Infilling and Synthesis cites this paper.
InCoder: A Generative Model for Code Infilling and Synthesis Training language models to follow instructions with human feedback
Reference 22
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation bee1728e-7373-4ee9-9ad7-f81a896dae9c · inbound
OPT: Open Pre-trained Transformer Language Models cites this paper.
OPT: Open Pre-trained Transformer Language Models Training language models to follow instructions with human feedback
Reference 266
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation 24e41e0f-ac68-48dd-8b2a-834a3b10c290 · inbound
A Generalist Agent cites this paper.
A Generalist Agent Training language models to follow instructions with human feedback
Reference 44
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation a54500ff-5054-49cd-babe-dcbc767be866 · inbound
Scaling Laws and Interpretability of Learning from Repeated Data cites this paper.
Scaling Laws and Interpretability of Learning from Repeated Data Training language models to follow instructions with human feedback
Reference 4
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation 472870c1-deae-4894-9b59-8819a7f21e82 · inbound
Emergent Abilities of Large Language Models cites this paper.
Emergent Abilities of Large Language Models Training language models to follow instructions with human feedback
Reference 62
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation d1a766d2-5f25-46d4-a7a2-c30dd7b63414 · inbound
Language Models (Mostly) Know What They Know cites this paper.
Language Models (Mostly) Know What They Know Training language models to follow instructions with human feedback
Reference 28
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation e6e4a3fb-763b-48ab-94d8-363a97b11652 · inbound
Inner Monologue: Embodied Reasoning through Planning with Language Models cites this paper.
Inner Monologue: Embodied Reasoning through Planning with Language Models Training language models to follow instructions with human feedback
Reference 91
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation 079d7c0b-c91c-4fd2-8878-cb65587894c2 · inbound
Efficient Training of Language Models to Fill in the Middle cites this paper.
Efficient Training of Language Models to Fill in the Middle Training language models to follow instructions with human feedback
Reference 91
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation b6d99521-1336-4896-8524-ff8541902ab2 · inbound
Efficient Training of Language Models to Fill in the Middle cites this paper.
Efficient Training of Language Models to Fill in the Middle Training language models to follow instructions with human feedback
Reference 127
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation cb4f04a7-f3f6-4164-b0e3-e723836f651a · inbound
Code as Policies: Language Model Programs for Embodied Control cites this paper.
Code as Policies: Language Model Programs for Embodied Control Training language models to follow instructions with human feedback
Reference 22
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation 3481015b-01fe-4001-b5f5-54d5a7f394c2 · inbound
Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned cites this paper.
Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned Training language models to follow instructions with human feedback
Reference 42
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation be7e43e4-e61a-4eb1-8740-c55af5758ed2 · inbound
Automatic Chain of Thought Prompting in Large Language Models cites this paper.
Automatic Chain of Thought Prompting in Large Language Models Training language models to follow instructions with human feedback
Reference 27
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation f7d7a848-228f-4eed-9d67-9df47b46083c · inbound
Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them cites this paper.
Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them Training language models to follow instructions with human feedback
Reference 20
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation bbbfaa39-67ae-430f-9c7c-c35707528c3f · inbound
Large Language Models Are Human-Level Prompt Engineers cites this paper.
Large Language Models Are Human-Level Prompt Engineers Training language models to follow instructions with human feedback
Reference 26
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation 90fdb2d1-2beb-46cf-8cfc-9548ae196ded · inbound
Ignore Previous Prompt: Attack Techniques For Language Models cites this paper.
Ignore Previous Prompt: Attack Techniques For Language Models Training language models to follow instructions with human feedback
Reference 20
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation 4777a849-115d-45f0-bdc5-aca1696d2c9f · inbound
Solving math word problems with process- and outcome-based feedback cites this paper.
Solving math word problems with process- and outcome-based feedback Training language models to follow instructions with human feedback
Reference 31
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation c95bebdc-9c95-457b-b97a-ebd6e96d1c0d · inbound
Discovering Latent Knowledge in Language Models Without Supervision cites this paper.
Discovering Latent Knowledge in Language Models Without Supervision Training language models to follow instructions with human feedback
Reference 24
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation e351d801-6a0a-4eed-b6e6-27b9de57e5f7 · inbound
Constitutional AI: Harmlessness from AI Feedback cites this paper.
Constitutional AI: Harmlessness from AI Feedback Training language models to follow instructions with human feedback
Reference 15
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation 7d92e9e6-0d08-4883-8067-e58127a46367 · inbound
REPLUG: Retrieval-Augmented Black-Box Language Models cites this paper.
REPLUG: Retrieval-Augmented Black-Box Language Models Training language models to follow instructions with human feedback
Reference 55
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation 9c031496-28f5-4758-bd74-ee1c62efefc5 · inbound
The Flan Collection: Designing Data and Methods for Effective Instruction Tuning cites this paper.
The Flan Collection: Designing Data and Methods for Effective Instruction Tuning Training language models to follow instructions with human feedback
Reference 43
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation 12dfed14-656d-4638-97cd-4b732d42ebdd · inbound
Describe, Explain, Plan and Select: Interactive Planning with Large Language Models Enables Open-World Multi-Task Agents cites this paper.
Describe, Explain, Plan and Select: Interactive Planning with Large Language Models Enables Open-World Multi-Task Agents Training language models to follow instructions with human feedback
Reference 34
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation a559a1c1-6876-4c89-adfd-8a0b23a5e917 · inbound
Aligning Text-to-Image Models using Human Feedback cites this paper.
Aligning Text-to-Image Models using Human Feedback Training language models to follow instructions with human feedback
Reference 14
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation 3900d762-1960-4828-80b9-f4fdc1be9539 · inbound
Visual ChatGPT: Talking, Drawing and Editing with Visual Foundation Models cites this paper.
Visual ChatGPT: Talking, Drawing and Editing with Visual Foundation Models Training language models to follow instructions with human feedback
Reference 29
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation 24b2aff0-1d42-465f-af2b-57d48711c390 · 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 Training language models to follow instructions with human feedback
Reference 157
- Resolution
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Source-reported events for the cited work
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Observation 0f40cf08-3b07-434e-a53c-07b3468cda33 · 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 Training language models to follow instructions with human feedback
Reference 175
- Resolution
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Source-reported events for the cited work
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Observation 7218a486-1b98-40df-840d-a91a94f36a41 · inbound
HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face cites this paper.
HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face Training language models to follow instructions with human feedback
Reference 2
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation 9e30eb6b-8a76-466d-8fad-4f064c6a40ea · inbound
Self-Refine: Iterative Refinement with Self-Feedback cites this paper.
Self-Refine: Iterative Refinement with Self-Feedback Training language models to follow instructions with human feedback
Reference 30
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation 79e38ad1-79b2-46be-a1e0-6f00caf34b1e · inbound
A Survey of Large Language Models cites this paper.
A Survey of Large Language Models Training language models to follow instructions with human feedback
Reference 68
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation fae81225-6836-4760-897c-ac23abfc579e · inbound
Generative Agents: Interactive Simulacra of Human Behavior cites this paper.
Generative Agents: Interactive Simulacra of Human Behavior Training language models to follow instructions with human feedback
Reference 85
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation 64cc3e3f-973d-405a-a234-24816a57a3b4 · inbound
mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality cites this paper.
mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality Training language models to follow instructions with human feedback
Reference 9
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation f71d4209-14dd-4989-ab73-206df7668c08 · inbound
Towards Expert-Level Medical Question Answering with Large Language Models cites this paper.
Towards Expert-Level Medical Question Answering with Large Language Models Training language models to follow instructions with human feedback
Reference 55
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation 369906ec-2e3c-4270-893f-f6ccc76730bf · inbound
Training Diffusion Models with Reinforcement Learning cites this paper.
Training Diffusion Models with Reinforcement Learning Training language models to follow instructions with human feedback
Reference 18
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation 2f0d5bf7-f7e6-4bc8-944b-e9bca621bb04 · inbound
Enhancing Chat Language Models by Scaling High-quality Instructional Conversations cites this paper.
Enhancing Chat Language Models by Scaling High-quality Instructional Conversations Training language models to follow instructions with human feedback
Reference 251
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation 6585c143-c02c-4434-8f8f-4aa08023c093 · inbound
Improving Factuality and Reasoning in Language Models through Multiagent Debate cites this paper.
Improving Factuality and Reasoning in Language Models through Multiagent Debate Training language models to follow instructions with human feedback
Reference 22
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation 61673666-8ac1-4502-9013-f52182006ac1 · inbound
The False Promise of Imitating Proprietary LLMs cites this paper.
The False Promise of Imitating Proprietary LLMs Training language models to follow instructions with human feedback
Reference 65
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-18T06:54:31.296891Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation 8cca650b-b461-42bb-b3d4-9e8119986a48 · inbound
Scaling Data-Constrained Language Models cites this paper.
Scaling Data-Constrained Language Models Training language models to follow instructions with human feedback
Reference 92
- Resolution
- verified exact
- local_arxiv, observed 2026-05-18T01:35:21.323583Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation dd7825a1-d156-4d02-829d-d5224cf8498f · inbound
Let's Verify Step by Step cites this paper.
Let's Verify Step by Step Training language models to follow instructions with human feedback
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T16:49:39.680094Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation c2fb47e5-7159-4be2-b641-0819f2cd9e67 · inbound
Orca: Progressive Learning from Complex Explanation Traces of GPT-4 cites this paper.
Orca: Progressive Learning from Complex Explanation Traces of GPT-4 Training language models to follow instructions with human feedback
Reference 5
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-15T09:42:05.291563Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation 3e0e8d1b-3579-4a52-87f2-c3192cdb82db · inbound
Secrets of RLHF in Large Language Models Part I: PPO cites this paper.
Secrets of RLHF in Large Language Models Part I: PPO Training language models to follow instructions with human feedback
Reference 16
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T13:17:42.920431Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation ae36d6de-2e89-4238-8ac6-21574810b137 · inbound
VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models cites this paper.
VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models Training language models to follow instructions with human feedback
Reference 128
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T08:57:22.486448Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation 33d36f20-0dba-49d1-b434-68b24e6c6767 · inbound
Simple synthetic data reduces sycophancy in large language models cites this paper.
Simple synthetic data reduces sycophancy in large language models Training language models to follow instructions with human feedback
Reference 28
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T14:48:08.639591Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation e9b262a4-0938-4faa-a8bf-3a8c6167a959 · inbound
Reinforced Self-Training (ReST) for Language Modeling cites this paper.
Reinforced Self-Training (ReST) for Language Modeling Training language models to follow instructions with human feedback
Reference 17
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T07:59:55.916581Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation 9a932d73-a926-4cd0-8686-aad6f1370fb5 · 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 Training language models to follow instructions with human feedback
Reference 38
- Resolution
- verified exact
- local_arxiv, observed 2026-05-24T08:14:10.256037Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation 9dcc92ca-1cd6-413d-bf7b-519a937b7a0c · inbound
SmoothLLM: Defending Large Language Models Against Jailbreaking Attacks cites this paper.
SmoothLLM: Defending Large Language Models Against Jailbreaking Attacks Training language models to follow instructions with human feedback
Reference 6
- Resolution
- verified exact
- local_arxiv, observed 2026-05-14T17:11:00.954977Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation f12036b2-d448-4497-9fb0-75d9397967d7 · inbound
DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines cites this paper.
DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines Training language models to follow instructions with human feedback
Reference 38
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T18:57:47.455566Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation c4326edb-f819-4118-ab9d-b448317256f0 · inbound
Jailbreaking Black Box Large Language Models in Twenty Queries cites this paper.
Jailbreaking Black Box Large Language Models in Twenty Queries Training language models to follow instructions with human feedback
Reference 9
- Resolution
- verified exact
- local_arxiv, observed 2026-05-12T09:48:33.221191Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation 6e5e7bc7-c19d-4aa5-923e-26a4cc4ff75b · inbound
Llemma: An Open Language Model For Mathematics cites this paper.
Llemma: An Open Language Model For Mathematics Training language models to follow instructions with human feedback
Reference 165
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T08:17:46.530227Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation 0fa9c8fe-d070-4934-8753-448693bb084d · inbound
Zephyr: Direct Distillation of LM Alignment cites this paper.
Zephyr: Direct Distillation of LM Alignment Training language models to follow instructions with human feedback
Reference 14
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T10:13:57.433608Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation af767e48-2648-4635-98dc-c315ff14e9f2 · inbound
Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads cites this paper.
Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads Training language models to follow instructions with human feedback
Reference 35
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-13T10:36:18.253468Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation bed5da51-623b-46be-b382-270d3381714f · inbound
A Roadmap to Pluralistic Alignment cites this paper.
A Roadmap to Pluralistic Alignment Training language models to follow instructions with human feedback
Reference 251
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-16T14:37:53.606892Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation efaf54b7-c74b-4764-b2ba-879a829ace61 · inbound
Massive Activations in Large Language Models cites this paper.
Massive Activations in Large Language Models Training language models to follow instructions with human feedback
Reference 141
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-16T07:02:54.032624Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation d4be1a70-7854-462d-ab1c-72bfa79c5e03 · inbound
InjecAgent: Benchmarking Indirect Prompt Injections in Tool-Integrated Large Language Model Agents cites this paper.
InjecAgent: Benchmarking Indirect Prompt Injections in Tool-Integrated Large Language Model Agents Training language models to follow instructions with human feedback
Reference 4
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-13T21:40:06.502493Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation 3da3dd36-e088-42ba-bf36-f28258bf1579 · inbound
ORPO: Monolithic Preference Optimization without Reference Model cites this paper.
ORPO: Monolithic Preference Optimization without Reference Model Training language models to follow instructions with human feedback
Reference 37
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T09:34:04.807473Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation f60957e7-e4b4-473b-a488-b87734ab6e9d · inbound
A Survey on Efficient Inference for Large Language Models cites this paper.
A Survey on Efficient Inference for Large Language Models Training language models to follow instructions with human feedback
Reference 230
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T02:39:33.317220Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation 0034393e-c36e-451a-97e1-9d26505ec47c · inbound
Uncovering Logit Suppression Vulnerabilities in LLM Safety Alignment cites this paper.
Uncovering Logit Suppression Vulnerabilities in LLM Safety Alignment Training language models to follow instructions with human feedback
Reference 15
- Resolution
- verified exact
- local_arxiv, observed 2026-05-24T00:38:39.966617Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation 8572d8d6-4a03-4627-a0b4-9e677e9257b2 · inbound
Improve Mathematical Reasoning in Language Models by Automated Process Supervision cites this paper.
Improve Mathematical Reasoning in Language Models by Automated Process Supervision Training language models to follow instructions with human feedback
Reference 16
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T20:53:45.953774Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation 7772e304-e193-42ef-922f-0db5ab6aa1aa · inbound
Sycophancy to Subterfuge: Investigating Reward-Tampering in Large Language Models cites this paper.
Sycophancy to Subterfuge: Investigating Reward-Tampering in Large Language Models Training language models to follow instructions with human feedback
Reference 244
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-17T14:43:29.819159Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation be60138a-fb58-40e9-ae43-3650a288bdc8 · inbound
Inference Scaling Laws: An Empirical Analysis of Compute-Optimal Inference for Problem-Solving with Language Models cites this paper.
Inference Scaling Laws: An Empirical Analysis of Compute-Optimal Inference for Problem-Solving with Language Models Training language models to follow instructions with human feedback
Reference 14
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-18T06:38:36.710046Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation 000483b5-ab8b-4420-8dbf-8a63df06967c · inbound
WildFeedback: Aligning LLMs With In-situ User Interactions And Feedback cites this paper.
WildFeedback: Aligning LLMs With In-situ User Interactions And Feedback Training language models to follow instructions with human feedback
Reference 28
- Resolution
- verified exact
- local_arxiv, observed 2026-05-23T22:38:32.543926Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation 677879ec-cdce-4db7-a6a4-55226f716090 · inbound
A Practice of Post-Training on Llama-3 70B with Optimal Selection of Additional Language Mixture Ratio cites this paper.
A Practice of Post-Training on Llama-3 70B with Optimal Selection of Additional Language Mixture Ratio Training language models to follow instructions with human feedback
Reference 19
- Resolution
- verified exact
- local_arxiv, observed 2026-05-23T20:43:25.213933Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation b5eedaea-f265-4b20-ad15-9ce52dc40ba3 · inbound
Prompt Infection: LLM-to-LLM Prompt Injection within Multi-Agent Systems cites this paper.
Prompt Infection: LLM-to-LLM Prompt Injection within Multi-Agent Systems Training language models to follow instructions with human feedback
Reference 19
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-15T19:32:19.600848Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation 1e77f6bb-2cd0-4984-a195-33302c1a036c · inbound
Prompt Infection: LLM-to-LLM Prompt Injection within Multi-Agent Systems cites this paper.
Prompt Infection: LLM-to-LLM Prompt Injection within Multi-Agent Systems Training language models to follow instructions with human feedback
Reference 75
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T19:32:19.794477Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation 1d628d06-5730-4591-9e33-8d649335884c · inbound
Improving Inverse Folding for Peptide Design with Diversity-regularized Direct Preference Optimization cites this paper.
Improving Inverse Folding for Peptide Design with Diversity-regularized Direct Preference Optimization Training language models to follow instructions with human feedback
Reference 28
- Resolution
- verified exact
- local_arxiv, observed 2026-05-23T19:05:46.866281Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation 8581e070-f3ef-45eb-ba1b-d47ba8f85782 · inbound
Constitutional Classifiers: Defending against Universal Jailbreaks across Thousands of Hours of Red Teaming cites this paper.
Constitutional Classifiers: Defending against Universal Jailbreaks across Thousands of Hours of Red Teaming Training language models to follow instructions with human feedback
Reference 2
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-17T22:20:42.798905Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation e34a2d39-7479-4a87-811c-a445796cd884 · inbound
Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach cites this paper.
Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach Training language models to follow instructions with human feedback
Reference 121
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-12T15:39:41.145975Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation 352f9bae-fbdf-4df4-be36-7622e0bf9312 · inbound
Towards an AI co-scientist cites this paper.
Towards an AI co-scientist Training language models to follow instructions with human feedback
Reference 137
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-11T13:02:44.881345Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation 420bc5a4-0bc7-46c2-846d-bf38f4803f0f · inbound
Preference Learning Unlocks LLMs' Psycho-Counseling Skills cites this paper.
Preference Learning Unlocks LLMs' Psycho-Counseling Skills Training language models to follow instructions with human feedback
Reference 26
- Resolution
- verified exact
- local_arxiv, observed 2026-05-23T03:12:28.600337Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation d63e0264-bfc7-40ef-8338-7ed405677357 · inbound
Training LLMs on HPC Systems: Best Practices from the OpenGPT-X Project cites this paper.
Training LLMs on HPC Systems: Best Practices from the OpenGPT-X Project Training language models to follow instructions with human feedback
Reference 9
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-22T21:05:09.626825Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation 6a1e3ffc-4934-4616-a6a5-30ddb4668edf · inbound
ReTool: Reinforcement Learning for Strategic Tool Use in LLMs cites this paper.
ReTool: Reinforcement Learning for Strategic Tool Use in LLMs Training language models to follow instructions with human feedback
Reference 14
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T18:42:39.089024Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation cccf8905-622b-4a0b-8a49-6fe756b8475e · inbound
Seed1.5-VL Technical Report cites this paper.
Seed1.5-VL Technical Report Training language models to follow instructions with human feedback
Reference 101
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T05:26:06.156357Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation 15d82a1d-446e-47d9-853c-3c3858adec5c · inbound
Emerging Properties in Unified Multimodal Pretraining cites this paper.
Emerging Properties in Unified Multimodal Pretraining Training language models to follow instructions with human feedback
Reference 56
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-10T16:49:39.680094Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation c8f2ce38-05c1-421a-98a7-203f9b9b970f · inbound
VLA-RL: Towards Masterful and General Robotic Manipulation with Scalable Reinforcement Learning cites this paper.
VLA-RL: Towards Masterful and General Robotic Manipulation with Scalable Reinforcement Learning Training language models to follow instructions with human feedback
Reference 56
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T12:55:40.493812Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation edf05b19-0138-4fe7-a6f9-13f0809cd972 · inbound
MIRROR: Converging Cognitive Principles as Computational Mechanisms for AI Reasoning cites this paper.
MIRROR: Converging Cognitive Principles as Computational Mechanisms for AI Reasoning Training language models to follow instructions with human feedback
Reference 38
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T12:07:20.890430Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation 57ec874a-f1f6-49c2-9365-755bc4f99c09 · inbound
Preference Learning for AI Alignment: a Causal Perspective cites this paper.
Preference Learning for AI Alignment: a Causal Perspective Training language models to follow instructions with human feedback
Reference 9
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-19T11:22:16.077339Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation db330fe3-4c13-496c-a679-a8fdeb962701 · inbound
Not All Tokens Matter: Towards Efficient LLM Reasoning via Token Significance in Reinforcement Learning cites this paper.
Not All Tokens Matter: Towards Efficient LLM Reasoning via Token Significance in Reinforcement Learning Training language models to follow instructions with human feedback
Reference 32
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-19T10:07:14.199274Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation 0e8ce55d-8537-4348-8810-db377cce1706 · inbound
MemOS: A Memory OS for AI System cites this paper.
MemOS: A Memory OS for AI System Training language models to follow instructions with human feedback
Reference 28
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T08:20:22.973264Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation b782df69-0f2b-4496-b427-e49d27ef76b1 · inbound
Depth-Breadth Synergy in RLVR: Unlocking LLM Reasoning Gains with Adaptive Exploration cites this paper.
Depth-Breadth Synergy in RLVR: Unlocking LLM Reasoning Gains with Adaptive Exploration Training language models to follow instructions with human feedback
Reference 11
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-18T22:36:53.757514Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation de0c3a63-f52f-4a92-8ef8-ff2af0883049 · inbound
EyeMulator: Improving Code Language Models by Mimicking Human Visual Attention cites this paper.
EyeMulator: Improving Code Language Models by Mimicking Human Visual Attention Training language models to follow instructions with human feedback
Reference 39
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-18T20:56:50.594877Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation 0b515d0c-cc67-4f60-98c8-3fa2166273ec · inbound
Confident, Calibrated, or Complicit: Safety Alignment and Ideological Bias in LLM Hate Speech Detection cites this paper.
Confident, Calibrated, or Complicit: Safety Alignment and Ideological Bias in LLM Hate Speech Detection Training language models to follow instructions with human feedback
Reference 7
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-18T20:31:50.137576Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation c053d26b-d678-4a21-a0d9-85524b6cd661 · inbound
Failure Modes of Maximum Entropy RLHF cites this paper.
Failure Modes of Maximum Entropy RLHF Training language models to follow instructions with human feedback
Reference 38
- Resolution
- verified exact
- local_arxiv, observed 2026-05-18T14:02:39.821196Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation 57ea18af-f608-4b22-911c-57aebc45799a · inbound
Mitigating Visual Context Degradation in Large Multimodal Models: A Training-Free Decoupled Agentic Framework cites this paper.
Mitigating Visual Context Degradation in Large Multimodal Models: A Training-Free Decoupled Agentic Framework Training language models to follow instructions with human feedback
Reference 22
- Resolution
- verified exact
- local_arxiv, observed 2026-05-18T12:32:36.434233Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation 76417b47-4424-4e6d-839e-4fd20980bfe9 · inbound
Polychromic Objectives for Reinforcement Learning cites this paper.
Polychromic Objectives for Reinforcement Learning Training language models to follow instructions with human feedback
Reference 26
- Resolution
- verified exact
- local_arxiv, observed 2026-05-18T11:56:20.010004Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation 7e3cf598-d2a2-4967-93a3-62a08c2c2732 · inbound
Efficient and Transferable Agentic Knowledge Graph RAG via Reinforcement Learning cites this paper.
Efficient and Transferable Agentic Knowledge Graph RAG via Reinforcement Learning Training language models to follow instructions with human feedback
Reference 28
- Resolution
- verified exact
- local_arxiv, observed 2026-05-25T07:45:28.883340Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation 7426caaf-b3ba-48da-82a2-7b72576e1aac · inbound
Dynamic Generation of Multi-LLM Agents Communication Topologies with Graph Diffusion Models cites this paper.
Dynamic Generation of Multi-LLM Agents Communication Topologies with Graph Diffusion Models Training language models to follow instructions with human feedback
Reference 20
- Resolution
- verified exact
- local_arxiv, observed 2026-05-21T20:40:35.648014Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation 84e6da3b-b8c2-4ad4-87dc-4ed174659fba · inbound
On the optimization dynamics of RLVR: Gradient gap and step size thresholds cites this paper.
On the optimization dynamics of RLVR: Gradient gap and step size thresholds Training language models to follow instructions with human feedback
Reference 14
- Resolution
- verified exact
- local_arxiv, observed 2026-05-18T08:36:07.293573Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation 943aa97a-e6d1-4323-8080-d5f5e92e3e87 · inbound
ContractEval: A Benchmark for Evaluating Contract-Satisfying Assertions in Code Generation cites this paper.
ContractEval: A Benchmark for Evaluating Contract-Satisfying Assertions in Code Generation Training language models to follow instructions with human feedback
Reference 20
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-18T08:01:06.706759Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation d37cb9de-5702-4eae-a61d-3f4179078d98 · inbound
SSL4RL: Revisiting Self-supervised Learning as Intrinsic Reward for Visual-Language Reasoning cites this paper.
SSL4RL: Revisiting Self-supervised Learning as Intrinsic Reward for Visual-Language Reasoning Training language models to follow instructions with human feedback
Reference 43
- Resolution
- verified exact
- local_arxiv, observed 2026-05-21T20:24:21.341547Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation c5d728a8-1ad9-44bb-a216-b8c183a656c3 · inbound
LLM4Delay: Flight Delay Prediction via Cross-Modality Adaptation of Large Language Models and Aircraft Trajectory Representation cites this paper.
LLM4Delay: Flight Delay Prediction via Cross-Modality Adaptation of Large Language Models and Aircraft Trajectory Representation Training language models to follow instructions with human feedback
Reference 33
- Resolution
- verified exact
- local_arxiv, observed 2026-05-18T04:30:53.770404Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation 9de6d2e1-a999-463c-a02d-d76f9f8580be · inbound
Forget BIT, It is All about TOKEN: Towards Semantic Information Theory for LLMs cites this paper.
Forget BIT, It is All about TOKEN: Towards Semantic Information Theory for LLMs Training language models to follow instructions with human feedback
Reference 32
- Resolution
- verified exact
- local_arxiv, observed 2026-05-18T01:55:38.262684Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation 1462c5b5-3c00-4435-8ab6-98ab4e934432 · inbound
ASTRA: An Automated Framework for Strategy Discovery, Retrieval, and Evolution for Jailbreaking LLMs cites this paper.
ASTRA: An Automated Framework for Strategy Discovery, Retrieval, and Evolution for Jailbreaking LLMs Training language models to follow instructions with human feedback
Reference 36
- Resolution
- verified exact
- local_arxiv, observed 2026-05-18T01:55:38.045574Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation 07357969-a592-4448-b045-6dd7099df2f5 · inbound
You Had One Job: Per-Task Quantization Using LLMs' Hidden Representations cites this paper.
You Had One Job: Per-Task Quantization Using LLMs' Hidden Representations Training language models to follow instructions with human feedback
Reference 47
- Resolution
- verified exact
- local_arxiv, observed 2026-05-21T18:50:30.185017Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation 43611c37-3396-4b46-9620-f3a6803d876a · inbound
SAM 3D: 3Dfy Anything in Images cites this paper.
SAM 3D: 3Dfy Anything in Images Training language models to follow instructions with human feedback
Reference 28
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T11:47:14.380352Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation b6ac49cf-5bf9-444a-8de8-fe212f91d5fd · inbound
LLM Harms: A Taxonomy and Discussion cites this paper.
LLM Harms: A Taxonomy and Discussion Training language models to follow instructions with human feedback
Reference 20
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T00:31:24.550263Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation bd991c9c-3bba-4768-8805-5a489bdcb315 · inbound
Rethinking Expert Trajectory Utilization in LLM Post-training for Mathematical Reasoning cites this paper.
Rethinking Expert Trajectory Utilization in LLM Post-training for Mathematical Reasoning Training language models to follow instructions with human feedback
Reference 28
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T22:43:37.927810Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation 60cf6c60-f63c-413d-863f-30a249dc81d5 · inbound
SWaRL: Safeguard Code Watermarking via Reinforcement Learning cites this paper.
SWaRL: Safeguard Code Watermarking via Reinforcement Learning Training language models to follow instructions with human feedback
Reference 23
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T17:18:09.540259Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation cb180852-6915-41cf-a8dd-ce7f0ab2c4e5 · inbound
Do Fine-Tuned LLMs Understand Vulnerabilities? An Investigation into the Semantic Trap cites this paper.
Do Fine-Tuned LLMs Understand Vulnerabilities? An Investigation into the Semantic Trap Training language models to follow instructions with human feedback
Reference 32
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T11:41:30.166267Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation 66e68255-8bc1-4c14-8810-400188c2f36d · inbound
"Tab, Tab, Bug": Security Pitfalls of Next Edit Suggestions in AI-Integrated IDEs cites this paper.
"Tab, Tab, Bug": Security Pitfalls of Next Edit Suggestions in AI-Integrated IDEs Training language models to follow instructions with human feedback
Reference 37
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T06:57:29.283256Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation c2e1b441-f4a6-4e69-9aa5-bc2739ae0231 · inbound
Response-Based Knowledge Distillation for Multilingual Jailbreak Prevention Unwittingly Compromises Safety cites this paper.
Response-Based Knowledge Distillation for Multilingual Jailbreak Prevention Unwittingly Compromises Safety Training language models to follow instructions with human feedback
Reference 34
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T01:28:48.790349Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.
Observation 4b8d0a63-9b75-434d-a403-e71ec57ef7ba · inbound
CapTrack: Multifaceted Evaluation of Forgetting in LLM Post-Training cites this paper.
CapTrack: Multifaceted Evaluation of Forgetting in LLM Post-Training Training language models to follow instructions with human feedback
Reference 39
- Resolution
- verified exact
- local_arxiv, observed 2026-05-25T06:45:26.470940Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.