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Collections including paper arxiv:2310.12823

Visual-RFT: Visual Reinforcement Fine-Tuning

Paper • 2503.01785 • Published Mar 3, 2025 • 86
When an LLM is apprehensive about its answers -- and when its uncertainty is justified

Paper • 2503.01688 • Published Mar 3, 2025 • 22
Predictive Data Selection: The Data That Predicts Is the Data That Teaches

Paper • 2503.00808 • Published Mar 2, 2025 • 57
Chain of Draft: Thinking Faster by Writing Less

Paper • 2502.18600 • Published Feb 25, 2025 • 50

ibm-research/AttaQ

Viewer • Updated Jan 26, 2024 • 1.4k • 269 • 22
snorkelai/snorkel-curated-instruction-tuning

Preview • Updated Mar 11, 2024 • 35 • 11
corbyrosset/researchy_questions

Viewer • Updated Feb 29, 2024 • 96.4k • 399 • 37
argilla/ultrafeedback-binarized-preferences

Viewer • Updated Nov 30, 2023 • 63.6k • 1.37k • 84

Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18, 2024 • 153
ReFT: Reasoning with Reinforced Fine-Tuning

Paper • 2401.08967 • Published Jan 17, 2024 • 32
Tuning Language Models by Proxy

Paper • 2401.08565 • Published Jan 16, 2024 • 22
TrustLLM: Trustworthiness in Large Language Models

Paper • 2401.05561 • Published Jan 10, 2024 • 69

Branch-Solve-Merge Improves Large Language Model Evaluation and Generation

Paper • 2310.15123 • Published Oct 23, 2023 • 8
ToolChain*: Efficient Action Space Navigation in Large Language Models with A* Search

Paper • 2310.13227 • Published Oct 20, 2023 • 15
LASER: LLM Agent with State-Space Exploration for Web Navigation

Paper • 2309.08172 • Published Sep 15, 2023 • 14
Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models

Paper • 2310.04406 • Published Oct 6, 2023 • 10

Ensemble-Instruct: Generating Instruction-Tuning Data with a Heterogeneous Mixture of LMs

Paper • 2310.13961 • Published Oct 21, 2023 • 5
Fabricator: An Open Source Toolkit for Generating Labeled Training Data with Teacher LLMs

Paper • 2309.09582 • Published Sep 18, 2023 • 4
Auto-Instruct: Automatic Instruction Generation and Ranking for Black-Box Language Models

Paper • 2310.13127 • Published Oct 19, 2023 • 12
Evaluating the Robustness to Instructions of Large Language Models

Paper • 2308.14306 • Published Aug 28, 2023 • 1

Collection of resources related to Agents.

Communicative Agents for Software Development

Paper • 2307.07924 • Published Jul 16, 2023 • 6
Self-Refine: Iterative Refinement with Self-Feedback

Paper • 2303.17651 • Published Mar 30, 2023 • 2
ReST meets ReAct: Self-Improvement for Multi-Step Reasoning LLM Agent

Paper • 2312.10003 • Published Dec 15, 2023 • 44
ReAct: Synergizing Reasoning and Acting in Language Models

Paper • 2210.03629 • Published Oct 6, 2022 • 34

Chain-of-Thought Reasoning Without Prompting

Paper • 2402.10200 • Published Feb 15, 2024 • 109
How to Train Data-Efficient LLMs

Paper • 2402.09668 • Published Feb 15, 2024 • 43
BitDelta: Your Fine-Tune May Only Be Worth One Bit

Paper • 2402.10193 • Published Feb 15, 2024 • 21
A Human-Inspired Reading Agent with Gist Memory of Very Long Contexts

Paper • 2402.09727 • Published Feb 15, 2024 • 38

JudgeLM: Fine-tuned Large Language Models are Scalable Judges

Paper • 2310.17631 • Published Oct 26, 2023 • 35
AgentTuning: Enabling Generalized Agent Abilities for LLMs

Paper • 2310.12823 • Published Oct 19, 2023 • 36
G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment

Paper • 2303.16634 • Published Mar 29, 2023 • 3
GPT-4 Doesn't Know It's Wrong: An Analysis of Iterative Prompting for Reasoning Problems

Paper • 2310.12397 • Published Oct 19, 2023 • 1

Branch-Solve-Merge Improves Large Language Model Evaluation and Generation

Paper • 2310.15123 • Published Oct 23, 2023 • 8
Diversity of Thought Improves Reasoning Abilities of Large Language Models

Paper • 2310.07088 • Published Oct 11, 2023 • 5
ToolChain*: Efficient Action Space Navigation in Large Language Models with A* Search

Paper • 2310.13227 • Published Oct 20, 2023 • 15
Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models

Paper • 2310.04406 • Published Oct 6, 2023 • 10

Dataset generation

Ensemble-Instruct: Generating Instruction-Tuning Data with a Heterogeneous Mixture of LMs

Paper • 2310.13961 • Published Oct 21, 2023 • 5
ZeroGen: Efficient Zero-shot Learning via Dataset Generation

Paper • 2202.07922 • Published Feb 16, 2022 • 1
Let's Synthesize Step by Step: Iterative Dataset Synthesis with Large Language Models by Extrapolating Errors from Small Models

Paper • 2310.13671 • Published Oct 20, 2023 • 19
Fabricator: An Open Source Toolkit for Generating Labeled Training Data with Teacher LLMs

Paper • 2309.09582 • Published Sep 18, 2023 • 4

Visual-RFT: Visual Reinforcement Fine-Tuning

Paper • 2503.01785 • Published Mar 3, 2025 • 86
When an LLM is apprehensive about its answers -- and when its uncertainty is justified

Paper • 2503.01688 • Published Mar 3, 2025 • 22
Predictive Data Selection: The Data That Predicts Is the Data That Teaches

Paper • 2503.00808 • Published Mar 2, 2025 • 57
Chain of Draft: Thinking Faster by Writing Less

Paper • 2502.18600 • Published Feb 25, 2025 • 50

Collection of resources related to Agents.

Communicative Agents for Software Development

Paper • 2307.07924 • Published Jul 16, 2023 • 6
Self-Refine: Iterative Refinement with Self-Feedback

Paper • 2303.17651 • Published Mar 30, 2023 • 2
ReST meets ReAct: Self-Improvement for Multi-Step Reasoning LLM Agent

Paper • 2312.10003 • Published Dec 15, 2023 • 44
ReAct: Synergizing Reasoning and Acting in Language Models

Paper • 2210.03629 • Published Oct 6, 2022 • 34

ibm-research/AttaQ

Viewer • Updated Jan 26, 2024 • 1.4k • 269 • 22
snorkelai/snorkel-curated-instruction-tuning

Preview • Updated Mar 11, 2024 • 35 • 11
corbyrosset/researchy_questions

Viewer • Updated Feb 29, 2024 • 96.4k • 399 • 37
argilla/ultrafeedback-binarized-preferences

Viewer • Updated Nov 30, 2023 • 63.6k • 1.37k • 84

Chain-of-Thought Reasoning Without Prompting

Paper • 2402.10200 • Published Feb 15, 2024 • 109
How to Train Data-Efficient LLMs

Paper • 2402.09668 • Published Feb 15, 2024 • 43
BitDelta: Your Fine-Tune May Only Be Worth One Bit

Paper • 2402.10193 • Published Feb 15, 2024 • 21
A Human-Inspired Reading Agent with Gist Memory of Very Long Contexts

Paper • 2402.09727 • Published Feb 15, 2024 • 38

Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18, 2024 • 153
ReFT: Reasoning with Reinforced Fine-Tuning

Paper • 2401.08967 • Published Jan 17, 2024 • 32
Tuning Language Models by Proxy

Paper • 2401.08565 • Published Jan 16, 2024 • 22
TrustLLM: Trustworthiness in Large Language Models

Paper • 2401.05561 • Published Jan 10, 2024 • 69

JudgeLM: Fine-tuned Large Language Models are Scalable Judges

Paper • 2310.17631 • Published Oct 26, 2023 • 35
AgentTuning: Enabling Generalized Agent Abilities for LLMs

Paper • 2310.12823 • Published Oct 19, 2023 • 36
G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment

Paper • 2303.16634 • Published Mar 29, 2023 • 3
GPT-4 Doesn't Know It's Wrong: An Analysis of Iterative Prompting for Reasoning Problems

Paper • 2310.12397 • Published Oct 19, 2023 • 1

Branch-Solve-Merge Improves Large Language Model Evaluation and Generation

Paper • 2310.15123 • Published Oct 23, 2023 • 8
ToolChain*: Efficient Action Space Navigation in Large Language Models with A* Search

Paper • 2310.13227 • Published Oct 20, 2023 • 15
LASER: LLM Agent with State-Space Exploration for Web Navigation

Paper • 2309.08172 • Published Sep 15, 2023 • 14
Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models

Paper • 2310.04406 • Published Oct 6, 2023 • 10

Branch-Solve-Merge Improves Large Language Model Evaluation and Generation

Paper • 2310.15123 • Published Oct 23, 2023 • 8
Diversity of Thought Improves Reasoning Abilities of Large Language Models

Paper • 2310.07088 • Published Oct 11, 2023 • 5
ToolChain*: Efficient Action Space Navigation in Large Language Models with A* Search

Paper • 2310.13227 • Published Oct 20, 2023 • 15
Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models

Paper • 2310.04406 • Published Oct 6, 2023 • 10

Ensemble-Instruct: Generating Instruction-Tuning Data with a Heterogeneous Mixture of LMs

Paper • 2310.13961 • Published Oct 21, 2023 • 5
Fabricator: An Open Source Toolkit for Generating Labeled Training Data with Teacher LLMs

Paper • 2309.09582 • Published Sep 18, 2023 • 4
Auto-Instruct: Automatic Instruction Generation and Ranking for Black-Box Language Models

Paper • 2310.13127 • Published Oct 19, 2023 • 12
Evaluating the Robustness to Instructions of Large Language Models

Paper • 2308.14306 • Published Aug 28, 2023 • 1

Dataset generation

Ensemble-Instruct: Generating Instruction-Tuning Data with a Heterogeneous Mixture of LMs

Paper • 2310.13961 • Published Oct 21, 2023 • 5
ZeroGen: Efficient Zero-shot Learning via Dataset Generation

Paper • 2202.07922 • Published Feb 16, 2022 • 1
Let's Synthesize Step by Step: Iterative Dataset Synthesis with Large Language Models by Extrapolating Errors from Small Models

Paper • 2310.13671 • Published Oct 20, 2023 • 19
Fabricator: An Open Source Toolkit for Generating Labeled Training Data with Teacher LLMs

Paper • 2309.09582 • Published Sep 18, 2023 • 4

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