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Collections including paper arxiv:2503.01307

VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Paper • 2504.05118 • Published Apr 7 • 26
T1: Tool-integrated Self-verification for Test-time Compute Scaling in Small Language Models

Paper • 2504.04718 • Published Apr 7 • 42
SynWorld: Virtual Scenario Synthesis for Agentic Action Knowledge Refinement

Paper • 2504.03561 • Published Apr 4 • 18
Concept Lancet: Image Editing with Compositional Representation Transplant

Paper • 2504.02828 • Published Apr 3 • 16

Synthetic Data and Self-Improvement

Training Software Engineering Agents and Verifiers with SWE-Gym

Paper • 2412.21139 • Published Dec 30, 2024 • 24
Evaluating Language Models as Synthetic Data Generators

Paper • 2412.03679 • Published Dec 4, 2024 • 48
Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18, 2024 • 151
Self-Discover: Large Language Models Self-Compose Reasoning Structures

Paper • 2402.03620 • Published Feb 6, 2024 • 117

Self-improving LLMs

Self-Taught Self-Correction for Small Language Models

Paper • 2503.08681 • Published Mar 11 • 15
Self-Improving Robust Preference Optimization

Paper • 2406.01660 • Published Jun 3, 2024 • 20
LADDER: Self-Improving LLMs Through Recursive Problem Decomposition

Paper • 2503.00735 • Published Mar 2 • 23
Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge

Paper • 2407.19594 • Published Jul 28, 2024 • 21

interesting papers

Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach

Paper • 2502.05171 • Published Feb 7 • 151
Agency Is Frame-Dependent

Paper • 2502.04403 • Published Feb 6 • 23
Distillation Scaling Laws

Paper • 2502.08606 • Published Feb 12 • 47
LLM Pretraining with Continuous Concepts

Paper • 2502.08524 • Published Feb 12 • 29

Reasoning, Thinking, RL and Test-Time Scaling

Mulberry: Empowering MLLM with o1-like Reasoning and Reflection via Collective Monte Carlo Tree Search

Paper • 2412.18319 • Published Dec 24, 2024 • 39
Token-Budget-Aware LLM Reasoning

Paper • 2412.18547 • Published Dec 24, 2024 • 46
Efficiently Serving LLM Reasoning Programs with Certaindex

Paper • 2412.20993 • Published Dec 30, 2024 • 37
B-STaR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners

Paper • 2412.17256 • Published Dec 23, 2024 • 47

Cognitive Behaviors that Enable Self-Improving Reasoners, or, Four Habits of Highly Effective STaRs

Paper • 2503.01307 • Published Mar 3 • 38

Can Large Language Models Detect Errors in Long Chain-of-Thought Reasoning?

Paper • 2502.19361 • Published Feb 26 • 28
Linguistic Generalizability of Test-Time Scaling in Mathematical Reasoning

Paper • 2502.17407 • Published Feb 24 • 26
Small Models Struggle to Learn from Strong Reasoners

Paper • 2502.12143 • Published Feb 17 • 40
Language Models can Self-Improve at State-Value Estimation for Better Search

Paper • 2503.02878 • Published Mar 4 • 10

RL+reason model

RL + Transformer = A General-Purpose Problem Solver

Paper • 2501.14176 • Published Jan 24 • 28
Towards General-Purpose Model-Free Reinforcement Learning

Paper • 2501.16142 • Published Jan 27 • 30
SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training

Paper • 2501.17161 • Published Jan 28 • 123
MaxInfoRL: Boosting exploration in reinforcement learning through information gain maximization

Paper • 2412.12098 • Published Dec 16, 2024 • 4

VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Paper • 2504.05118 • Published Apr 7 • 26
T1: Tool-integrated Self-verification for Test-time Compute Scaling in Small Language Models

Paper • 2504.04718 • Published Apr 7 • 42
SynWorld: Virtual Scenario Synthesis for Agentic Action Knowledge Refinement

Paper • 2504.03561 • Published Apr 4 • 18
Concept Lancet: Image Editing with Compositional Representation Transplant

Paper • 2504.02828 • Published Apr 3 • 16

Reasoning, Thinking, RL and Test-Time Scaling

Mulberry: Empowering MLLM with o1-like Reasoning and Reflection via Collective Monte Carlo Tree Search

Paper • 2412.18319 • Published Dec 24, 2024 • 39
Token-Budget-Aware LLM Reasoning

Paper • 2412.18547 • Published Dec 24, 2024 • 46
Efficiently Serving LLM Reasoning Programs with Certaindex

Paper • 2412.20993 • Published Dec 30, 2024 • 37
B-STaR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners

Paper • 2412.17256 • Published Dec 23, 2024 • 47

Synthetic Data and Self-Improvement

Training Software Engineering Agents and Verifiers with SWE-Gym

Paper • 2412.21139 • Published Dec 30, 2024 • 24
Evaluating Language Models as Synthetic Data Generators

Paper • 2412.03679 • Published Dec 4, 2024 • 48
Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18, 2024 • 151
Self-Discover: Large Language Models Self-Compose Reasoning Structures

Paper • 2402.03620 • Published Feb 6, 2024 • 117

Cognitive Behaviors that Enable Self-Improving Reasoners, or, Four Habits of Highly Effective STaRs

Paper • 2503.01307 • Published Mar 3 • 38

Self-improving LLMs

Self-Taught Self-Correction for Small Language Models

Paper • 2503.08681 • Published Mar 11 • 15
Self-Improving Robust Preference Optimization

Paper • 2406.01660 • Published Jun 3, 2024 • 20
LADDER: Self-Improving LLMs Through Recursive Problem Decomposition

Paper • 2503.00735 • Published Mar 2 • 23
Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge

Paper • 2407.19594 • Published Jul 28, 2024 • 21

Can Large Language Models Detect Errors in Long Chain-of-Thought Reasoning?

Paper • 2502.19361 • Published Feb 26 • 28
Linguistic Generalizability of Test-Time Scaling in Mathematical Reasoning

Paper • 2502.17407 • Published Feb 24 • 26
Small Models Struggle to Learn from Strong Reasoners

Paper • 2502.12143 • Published Feb 17 • 40
Language Models can Self-Improve at State-Value Estimation for Better Search

Paper • 2503.02878 • Published Mar 4 • 10

interesting papers

Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach

Paper • 2502.05171 • Published Feb 7 • 151
Agency Is Frame-Dependent

Paper • 2502.04403 • Published Feb 6 • 23
Distillation Scaling Laws

Paper • 2502.08606 • Published Feb 12 • 47
LLM Pretraining with Continuous Concepts

Paper • 2502.08524 • Published Feb 12 • 29

RL+reason model

RL + Transformer = A General-Purpose Problem Solver

Paper • 2501.14176 • Published Jan 24 • 28
Towards General-Purpose Model-Free Reinforcement Learning

Paper • 2501.16142 • Published Jan 27 • 30
SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training

Paper • 2501.17161 • Published Jan 28 • 123
MaxInfoRL: Boosting exploration in reinforcement learning through information gain maximization

Paper • 2412.12098 • Published Dec 16, 2024 • 4

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