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Collections including paper arxiv:2502.04306

Evolving Deeper LLM Thinking

Paper • 2501.09891 • Published Jan 17 • 116
PaSa: An LLM Agent for Comprehensive Academic Paper Search

Paper • 2501.10120 • Published Jan 17 • 51
Multiple Choice Questions: Reasoning Makes Large Language Models (LLMs) More Self-Confident Even When They Are Wrong

Paper • 2501.09775 • Published Jan 16 • 34
ComplexFuncBench: Exploring Multi-Step and Constrained Function Calling under Long-Context Scenario

Paper • 2501.10132 • Published Jan 17 • 22

ScoreFlow: Mastering LLM Agent Workflows via Score-based Preference Optimization

Paper • 2502.04306 • Published Feb 6 • 20

rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking

Paper • 2501.04519 • Published Jan 8 • 283
Towards System 2 Reasoning in LLMs: Learning How to Think With Meta Chain-of-Though

Paper • 2501.04682 • Published Jan 8 • 99
Search-o1: Agentic Search-Enhanced Large Reasoning Models

Paper • 2501.05366 • Published Jan 9 • 101
Agent Laboratory: Using LLM Agents as Research Assistants

Paper • 2501.04227 • Published Jan 8 • 92

about 1 month ago

TheAgentCompany: Benchmarking LLM Agents on Consequential Real World Tasks

Paper • 2412.14161 • Published Dec 18, 2024 • 52
Training Software Engineering Agents and Verifiers with SWE-Gym

Paper • 2412.21139 • Published Dec 30, 2024 • 24
OS-Genesis: Automating GUI Agent Trajectory Construction via Reverse Task Synthesis

Paper • 2412.19723 • Published Dec 27, 2024 • 88
AgentGen: Enhancing Planning Abilities for Large Language Model based Agent via Environment and Task Generation

Paper • 2408.00764 • Published Aug 1, 2024 • 1

Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models

Paper • 2501.09686 • Published Jan 16 • 41
Optimizing Large Language Model Training Using FP4 Quantization

Paper • 2501.17116 • Published Jan 28 • 38
Satori: Reinforcement Learning with Chain-of-Action-Thought Enhances LLM Reasoning via Autoregressive Search

Paper • 2502.02508 • Published Feb 4 • 23
On Teacher Hacking in Language Model Distillation

Paper • 2502.02671 • Published Feb 4 • 18

Rethinking Mixture-of-Agents: Is Mixing Different Large Language Models Beneficial?

Paper • 2502.00674 • Published Feb 2 • 13
Demystifying Long Chain-of-Thought Reasoning in LLMs

Paper • 2502.03373 • Published Feb 5 • 59
SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model

Paper • 2502.02737 • Published Feb 4 • 241
DeepRAG: Thinking to Retrieval Step by Step for Large Language Models

Paper • 2502.01142 • Published Feb 3 • 24

rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking

Paper • 2501.04519 • Published Jan 8 • 283
Transformer^2: Self-adaptive LLMs

Paper • 2501.06252 • Published Jan 9 • 55
Multimodal LLMs Can Reason about Aesthetics in Zero-Shot

Paper • 2501.09012 • Published Jan 15 • 10
FAST: Efficient Action Tokenization for Vision-Language-Action Models

Paper • 2501.09747 • Published Jan 16 • 25

Natural Language (LLM, NLP etc)

Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing

Paper • 2404.12253 • Published Apr 18, 2024 • 56
FlowMind: Automatic Workflow Generation with LLMs

Paper • 2404.13050 • Published Mar 17, 2024 • 35
How Far Can We Go with Practical Function-Level Program Repair?

Paper • 2404.12833 • Published Apr 19, 2024 • 7
Replacing Judges with Juries: Evaluating LLM Generations with a Panel of Diverse Models

Paper • 2404.18796 • Published Apr 29, 2024 • 72

Evolving Deeper LLM Thinking

Paper • 2501.09891 • Published Jan 17 • 116
PaSa: An LLM Agent for Comprehensive Academic Paper Search

Paper • 2501.10120 • Published Jan 17 • 51
Multiple Choice Questions: Reasoning Makes Large Language Models (LLMs) More Self-Confident Even When They Are Wrong

Paper • 2501.09775 • Published Jan 16 • 34
ComplexFuncBench: Exploring Multi-Step and Constrained Function Calling under Long-Context Scenario

Paper • 2501.10132 • Published Jan 17 • 22

Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models

Paper • 2501.09686 • Published Jan 16 • 41
Optimizing Large Language Model Training Using FP4 Quantization

Paper • 2501.17116 • Published Jan 28 • 38
Satori: Reinforcement Learning with Chain-of-Action-Thought Enhances LLM Reasoning via Autoregressive Search

Paper • 2502.02508 • Published Feb 4 • 23
On Teacher Hacking in Language Model Distillation

Paper • 2502.02671 • Published Feb 4 • 18

ScoreFlow: Mastering LLM Agent Workflows via Score-based Preference Optimization

Paper • 2502.04306 • Published Feb 6 • 20

Rethinking Mixture-of-Agents: Is Mixing Different Large Language Models Beneficial?

Paper • 2502.00674 • Published Feb 2 • 13
Demystifying Long Chain-of-Thought Reasoning in LLMs

Paper • 2502.03373 • Published Feb 5 • 59
SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model

Paper • 2502.02737 • Published Feb 4 • 241
DeepRAG: Thinking to Retrieval Step by Step for Large Language Models

Paper • 2502.01142 • Published Feb 3 • 24

rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking

Paper • 2501.04519 • Published Jan 8 • 283
Towards System 2 Reasoning in LLMs: Learning How to Think With Meta Chain-of-Though

Paper • 2501.04682 • Published Jan 8 • 99
Search-o1: Agentic Search-Enhanced Large Reasoning Models

Paper • 2501.05366 • Published Jan 9 • 101
Agent Laboratory: Using LLM Agents as Research Assistants

Paper • 2501.04227 • Published Jan 8 • 92

rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking

Paper • 2501.04519 • Published Jan 8 • 283
Transformer^2: Self-adaptive LLMs

Paper • 2501.06252 • Published Jan 9 • 55
Multimodal LLMs Can Reason about Aesthetics in Zero-Shot

Paper • 2501.09012 • Published Jan 15 • 10
FAST: Efficient Action Tokenization for Vision-Language-Action Models

Paper • 2501.09747 • Published Jan 16 • 25

about 1 month ago

TheAgentCompany: Benchmarking LLM Agents on Consequential Real World Tasks

Paper • 2412.14161 • Published Dec 18, 2024 • 52
Training Software Engineering Agents and Verifiers with SWE-Gym

Paper • 2412.21139 • Published Dec 30, 2024 • 24
OS-Genesis: Automating GUI Agent Trajectory Construction via Reverse Task Synthesis

Paper • 2412.19723 • Published Dec 27, 2024 • 88
AgentGen: Enhancing Planning Abilities for Large Language Model based Agent via Environment and Task Generation

Paper • 2408.00764 • Published Aug 1, 2024 • 1

Natural Language (LLM, NLP etc)

Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing

Paper • 2404.12253 • Published Apr 18, 2024 • 56
FlowMind: Automatic Workflow Generation with LLMs

Paper • 2404.13050 • Published Mar 17, 2024 • 35
How Far Can We Go with Practical Function-Level Program Repair?

Paper • 2404.12833 • Published Apr 19, 2024 • 7
Replacing Judges with Juries: Evaluating LLM Generations with a Panel of Diverse Models

Paper • 2404.18796 • Published Apr 29, 2024 • 72

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