Reflect, Retry, Reward: Self-Improving LLMs via Reinforcement Learning
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2505.24726
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Published
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277
MLLM Reasoning, Rewarding, and Understanding
Papers on the reasoning, rewarding, and understanding of the MLLMs and LLMs
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SynthRL: Scaling Visual Reasoning with Verifiable Data Synthesis
Paper • 2506.02096 • Published • 52 -
OThink-R1: Intrinsic Fast/Slow Thinking Mode Switching for Over-Reasoning Mitigation
Paper • 2506.02397 • Published • 35 -
ProRL: Prolonged Reinforcement Learning Expands Reasoning Boundaries in Large Language Models
Paper • 2505.24864 • Published • 143 -
Time Blindness: Why Video-Language Models Can't See What Humans Can?
Paper • 2505.24867 • Published • 80 -
VideoReasonBench: Can MLLMs Perform Vision-Centric Complex Video Reasoning?
Paper • 2505.23359 • Published • 38 -
Fractured Chain-of-Thought Reasoning
Paper • 2505.12992 • Published • 23 -
MiMo-VL Technical Report
Paper • 2506.03569 • Published • 80 -
VideoMathQA: Benchmarking Mathematical Reasoning via Multimodal Understanding in Videos
Paper • 2506.05349 • Published • 24 -
MINT-CoT: Enabling Interleaved Visual Tokens in Mathematical Chain-of-Thought Reasoning
Paper • 2506.05331 • Published • 13 -
How much do language models memorize?
Paper • 2505.24832 • Published • 4 -
Pixel Reasoner: Incentivizing Pixel-Space Reasoning with Curiosity-Driven Reinforcement Learning
Paper • 2505.15966 • Published • 53 -
GRIT: Teaching MLLMs to Think with Images
Paper • 2505.15879 • Published • 12 -
InstructPart: Task-Oriented Part Segmentation with Instruction Reasoning
Paper • 2505.18291 • Published • 2 -
VLM-R^3: Region Recognition, Reasoning, and Refinement for Enhanced Multimodal Chain-of-Thought
Paper • 2505.16192 • Published • 12 -
Reward Reasoning Model
Paper • 2505.14674 • Published • 37 -
VisionThink: Smart and Efficient Vision Language Model via Reinforcement Learning
Paper • 2507.13348 • Published • 77 -
Inverse Reinforcement Learning Meets Large Language Model Post-Training: Basics, Advances, and Opportunities
Paper • 2507.13158 • Published • 23 -
Memp: Exploring Agent Procedural Memory
Paper • 2508.06433 • Published • 35 -
MIRIX: Multi-Agent Memory System for LLM-Based Agents
Paper • 2507.07957 • Published • 79 -
Zep: A Temporal Knowledge Graph Architecture for Agent Memory
Paper • 2501.13956 • Published • 8 -
Why Language Models Hallucinate
Paper • 2509.04664 • Published • 195 -
Reasoning with Sampling: Your Base Model is Smarter Than You Think
Paper • 2510.14901 • Published • 47 -
Memory in the Age of AI Agents
Paper • 2512.13564 • Published • 126 -
JustRL: Scaling a 1.5B LLM with a Simple RL Recipe
Paper • 2512.16649 • Published • 23 -
Native Parallel Reasoner: Reasoning in Parallelism via Self-Distilled Reinforcement Learning
Paper • 2512.07461 • Published • 74 -
On the Interplay of Pre-Training, Mid-Training, and RL on Reasoning Language Models
Paper • 2512.07783 • Published • 36 -
Arbitrage: Efficient Reasoning via Advantage-Aware Speculation
Paper • 2512.05033 • Published • 15