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Collections including paper arxiv:2506.02397

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

MLLM Reasoning, Rewarding, and Understanding

Papers on the reasoning, rewarding, and understanding of the MLLMs and LLMs

Reflect, Retry, Reward: Self-Improving LLMs via Reinforcement Learning

Paper • 2505.24726 • Published May 30 • 274
SynthRL: Scaling Visual Reasoning with Verifiable Data Synthesis

Paper • 2506.02096 • Published Jun 2 • 52
OThink-R1: Intrinsic Fast/Slow Thinking Mode Switching for Over-Reasoning Mitigation

Paper • 2506.02397 • Published Jun 3 • 35
ProRL: Prolonged Reinforcement Learning Expands Reasoning Boundaries in Large Language Models

Paper • 2505.24864 • Published May 30 • 141

CoRAG: Collaborative Retrieval-Augmented Generation

Paper • 2504.01883 • Published Apr 2 • 9
VL-Rethinker: Incentivizing Self-Reflection of Vision-Language Models with Reinforcement Learning

Paper • 2504.08837 • Published Apr 10 • 43
Mavors: Multi-granularity Video Representation for Multimodal Large Language Model

Paper • 2504.10068 • Published Apr 14 • 30
xVerify: Efficient Answer Verifier for Reasoning Model Evaluations

Paper • 2504.10481 • Published Apr 14 • 85

Contrastive Decoding Improves Reasoning in Large Language Models

Paper • 2309.09117 • Published Sep 17, 2023 • 39
Prometheus: Inducing Fine-grained Evaluation Capability in Language Models

Paper • 2310.08491 • Published Oct 12, 2023 • 55
Language Models are Hidden Reasoners: Unlocking Latent Reasoning Capabilities via Self-Rewarding

Paper • 2411.04282 • Published Nov 6, 2024 • 37
Insight-V: Exploring Long-Chain Visual Reasoning with Multimodal Large Language Models

Paper • 2411.14432 • Published Nov 21, 2024 • 25

Reasoning with Sampling: Your Base Model is Smarter Than You Think

Paper • 2510.14901 • Published Oct 16 • 47
VideoReasonBench: Can MLLMs Perform Vision-Centric Complex Video Reasoning?

Paper • 2505.23359 • Published May 29 • 39
OThink-R1: Intrinsic Fast/Slow Thinking Mode Switching for Over-Reasoning Mitigation

Paper • 2506.02397 • Published Jun 3 • 35
ProRL: Prolonged Reinforcement Learning Expands Reasoning Boundaries in Large Language Models

Paper • 2505.24864 • Published May 30 • 141

Self-Generated In-Context Examples Improve LLM Agents for Sequential Decision-Making Tasks

Paper • 2505.00234 • Published May 1 • 26
DeepCritic: Deliberate Critique with Large Language Models

Paper • 2505.00662 • Published May 1 • 54
A Survey of Interactive Generative Video

Paper • 2504.21853 • Published Apr 30 • 46
OThink-R1: Intrinsic Fast/Slow Thinking Mode Switching for Over-Reasoning Mitigation

Paper • 2506.02397 • Published Jun 3 • 35

Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language Models

Paper • 2503.06749 • Published Mar 9 • 31
ProRL: Prolonged Reinforcement Learning Expands Reasoning Boundaries in Large Language Models

Paper • 2505.24864 • Published May 30 • 141
OThink-R1: Intrinsic Fast/Slow Thinking Mode Switching for Over-Reasoning Mitigation

Paper • 2506.02397 • Published Jun 3 • 35

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

Reasoning with Sampling: Your Base Model is Smarter Than You Think

Paper • 2510.14901 • Published Oct 16 • 47
VideoReasonBench: Can MLLMs Perform Vision-Centric Complex Video Reasoning?

Paper • 2505.23359 • Published May 29 • 39
OThink-R1: Intrinsic Fast/Slow Thinking Mode Switching for Over-Reasoning Mitigation

Paper • 2506.02397 • Published Jun 3 • 35
ProRL: Prolonged Reinforcement Learning Expands Reasoning Boundaries in Large Language Models

Paper • 2505.24864 • Published May 30 • 141

MLLM Reasoning, Rewarding, and Understanding

Papers on the reasoning, rewarding, and understanding of the MLLMs and LLMs

Reflect, Retry, Reward: Self-Improving LLMs via Reinforcement Learning

Paper • 2505.24726 • Published May 30 • 274
SynthRL: Scaling Visual Reasoning with Verifiable Data Synthesis

Paper • 2506.02096 • Published Jun 2 • 52
OThink-R1: Intrinsic Fast/Slow Thinking Mode Switching for Over-Reasoning Mitigation

Paper • 2506.02397 • Published Jun 3 • 35
ProRL: Prolonged Reinforcement Learning Expands Reasoning Boundaries in Large Language Models

Paper • 2505.24864 • Published May 30 • 141

Self-Generated In-Context Examples Improve LLM Agents for Sequential Decision-Making Tasks

Paper • 2505.00234 • Published May 1 • 26
DeepCritic: Deliberate Critique with Large Language Models

Paper • 2505.00662 • Published May 1 • 54
A Survey of Interactive Generative Video

Paper • 2504.21853 • Published Apr 30 • 46
OThink-R1: Intrinsic Fast/Slow Thinking Mode Switching for Over-Reasoning Mitigation

Paper • 2506.02397 • Published Jun 3 • 35

CoRAG: Collaborative Retrieval-Augmented Generation

Paper • 2504.01883 • Published Apr 2 • 9
VL-Rethinker: Incentivizing Self-Reflection of Vision-Language Models with Reinforcement Learning

Paper • 2504.08837 • Published Apr 10 • 43
Mavors: Multi-granularity Video Representation for Multimodal Large Language Model

Paper • 2504.10068 • Published Apr 14 • 30
xVerify: Efficient Answer Verifier for Reasoning Model Evaluations

Paper • 2504.10481 • Published Apr 14 • 85

Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language Models

Paper • 2503.06749 • Published Mar 9 • 31
ProRL: Prolonged Reinforcement Learning Expands Reasoning Boundaries in Large Language Models

Paper • 2505.24864 • Published May 30 • 141
OThink-R1: Intrinsic Fast/Slow Thinking Mode Switching for Over-Reasoning Mitigation

Paper • 2506.02397 • Published Jun 3 • 35

Contrastive Decoding Improves Reasoning in Large Language Models

Paper • 2309.09117 • Published Sep 17, 2023 • 39
Prometheus: Inducing Fine-grained Evaluation Capability in Language Models

Paper • 2310.08491 • Published Oct 12, 2023 • 55
Language Models are Hidden Reasoners: Unlocking Latent Reasoning Capabilities via Self-Rewarding

Paper • 2411.04282 • Published Nov 6, 2024 • 37
Insight-V: Exploring Long-Chain Visual Reasoning with Multimodal Large Language Models

Paper • 2411.14432 • Published Nov 21, 2024 • 25

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