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Collections including paper arxiv:2505.14652

PotentialApplication

Let LLMs Break Free from Overthinking via Self-Braking Tuning

Paper • 2505.14604 • Published May 20 • 23
AGENTIF: Benchmarking Instruction Following of Large Language Models in Agentic Scenarios

Paper • 2505.16944 • Published May 22 • 8
Training Step-Level Reasoning Verifiers with Formal Verification Tools

Paper • 2505.15960 • Published May 21 • 7
The Unreasonable Effectiveness of Entropy Minimization in LLM Reasoning

Paper • 2505.15134 • Published May 21 • 6

Fine-Tuning Language Models from Human Preferences

Paper • 1909.08593 • Published Sep 18, 2019 • 3
PromptCoT: Synthesizing Olympiad-level Problems for Mathematical Reasoning in Large Language Models

Paper • 2503.02324 • Published Mar 4
How Difficulty-Aware Staged Reinforcement Learning Enhances LLMs' Reasoning Capabilities: A Preliminary Experimental Study

Paper • 2504.00829 • Published Apr 1
GPG: A Simple and Strong Reinforcement Learning Baseline for Model Reasoning

Paper • 2504.02546 • Published Apr 3 • 2

LLM+Self-Play RL

Training Language Models to Self-Correct via Reinforcement Learning

Paper • 2409.12917 • Published Sep 19, 2024 • 140
Recursive Introspection: Teaching Language Model Agents How to Self-Improve

Paper • 2407.18219 • Published Jul 25, 2024 • 3
Physics of Language Models: Part 2.2, How to Learn From Mistakes on Grade-School Math Problems

Paper • 2408.16293 • Published Aug 29, 2024 • 27
Selective Self-Rehearsal: A Fine-Tuning Approach to Improve Generalization in Large Language Models

Paper • 2409.04787 • Published Sep 7, 2024 • 1

about 17 hours ago

lusxvr/nanoVLM-222M

Image-Text-to-Text • 0.2B • Updated May 8 • 510 • 98
Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning

Paper • 2503.09516 • Published Mar 12 • 36
AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time

Paper • 2505.24863 • Published May 30 • 97
QwenLong-L1: Towards Long-Context Large Reasoning Models with Reinforcement Learning

Paper • 2505.17667 • Published May 23 • 88

General-Reasoner

Advancing LLMs' general reasoning capabilities

TIGER-Lab/General-Reasoner-Qwen2.5-7B

8B • Updated May 21 • 54 • 3
TIGER-Lab/General-Reasoner-Qwen2.5-14B

Text Generation • 15B • Updated May 21 • 8 • 5
TIGER-Lab/general-verifier

Question Answering • 2B • Updated Apr 15 • 14.1k • • 20
TIGER-Lab/WebInstruct-verified

Viewer • Updated 12 days ago • 462k • 622 • 53

Llamas Know What GPTs Don't Show: Surrogate Models for Confidence Estimation

Paper • 2311.08877 • Published Nov 15, 2023 • 7
General-Reasoner: Advancing LLM Reasoning Across All Domains

Paper • 2505.14652 • Published May 20 • 24

PotentialApplication

Let LLMs Break Free from Overthinking via Self-Braking Tuning

Paper • 2505.14604 • Published May 20 • 23
AGENTIF: Benchmarking Instruction Following of Large Language Models in Agentic Scenarios

Paper • 2505.16944 • Published May 22 • 8
Training Step-Level Reasoning Verifiers with Formal Verification Tools

Paper • 2505.15960 • Published May 21 • 7
The Unreasonable Effectiveness of Entropy Minimization in LLM Reasoning

Paper • 2505.15134 • Published May 21 • 6

about 17 hours ago

lusxvr/nanoVLM-222M

Image-Text-to-Text • 0.2B • Updated May 8 • 510 • 98
Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning

Paper • 2503.09516 • Published Mar 12 • 36
AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time

Paper • 2505.24863 • Published May 30 • 97
QwenLong-L1: Towards Long-Context Large Reasoning Models with Reinforcement Learning

Paper • 2505.17667 • Published May 23 • 88

Fine-Tuning Language Models from Human Preferences

Paper • 1909.08593 • Published Sep 18, 2019 • 3
PromptCoT: Synthesizing Olympiad-level Problems for Mathematical Reasoning in Large Language Models

Paper • 2503.02324 • Published Mar 4
How Difficulty-Aware Staged Reinforcement Learning Enhances LLMs' Reasoning Capabilities: A Preliminary Experimental Study

Paper • 2504.00829 • Published Apr 1
GPG: A Simple and Strong Reinforcement Learning Baseline for Model Reasoning

Paper • 2504.02546 • Published Apr 3 • 2

General-Reasoner

Advancing LLMs' general reasoning capabilities

TIGER-Lab/General-Reasoner-Qwen2.5-7B

8B • Updated May 21 • 54 • 3
TIGER-Lab/General-Reasoner-Qwen2.5-14B

Text Generation • 15B • Updated May 21 • 8 • 5
TIGER-Lab/general-verifier

Question Answering • 2B • Updated Apr 15 • 14.1k • • 20
TIGER-Lab/WebInstruct-verified

Viewer • Updated 12 days ago • 462k • 622 • 53

LLM+Self-Play RL

Training Language Models to Self-Correct via Reinforcement Learning

Paper • 2409.12917 • Published Sep 19, 2024 • 140
Recursive Introspection: Teaching Language Model Agents How to Self-Improve

Paper • 2407.18219 • Published Jul 25, 2024 • 3
Physics of Language Models: Part 2.2, How to Learn From Mistakes on Grade-School Math Problems

Paper • 2408.16293 • Published Aug 29, 2024 • 27
Selective Self-Rehearsal: A Fine-Tuning Approach to Improve Generalization in Large Language Models

Paper • 2409.04787 • Published Sep 7, 2024 • 1

Llamas Know What GPTs Don't Show: Surrogate Models for Confidence Estimation

Paper • 2311.08877 • Published Nov 15, 2023 • 7
General-Reasoner: Advancing LLM Reasoning Across All Domains

Paper • 2505.14652 • Published May 20 • 24

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