Learning to Solve, Forgetting to Retain: Correct-Set Turnover in RLVR
cs.LG
Submitted: 2026-06-02
Updated: 2026-09-29
Code: https://github.com/cyuQ1n/Correct-Set-Turnover-in-RLVR
Terminology
Sources
- Online Difficulty Filtering for Reasoning Oriented Reinforcement Learning
- Qwen3-VL Technical Report
- Scaling RL to Long Videos
- Video-Holmes: Can MLLM Think Like Holmes for Complex Video Reasoning?
- The Entropy Mechanism of Reinforcement Learning for Reasoning Language Models
- Probing RLVR training instability through the lens of objective-level hacking
- Improving RL Exploration for LLM Reasoning through Retrospective Replay
- DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
- Measuring Mathematical Problem Solving With the MATH Dataset
- MotionBench: Benchmarking and Improving Fine-grained Video Motion Understanding for Vision Language Models
- Emergent Slow Thinking in LLMs as Inverse Tree Freezing
- VCRL: Variance-based Curriculum Reinforcement Learning for Large Language Models
- MVBench: A Comprehensive Multi-modal Video Understanding Benchmark
- RePO: Replay-Enhanced Policy Optimization
- MCPO: Mastery-Consolidated Policy Optimization for Large Reasoning Models
- MMFineReason: Closing the Multimodal Reasoning Gap via Open Data-Centric Methods
- Understanding R1-Zero-Like Training: A Critical Perspective
- Freshness-Aware Prioritized Experience Replay for LLM/VLM Reinforcement Learning
- Beyond Reasoning Gains: Mitigating General-Capability Forgetting in Large Reasoning Models
- VideoMathQA: Benchmarking Mathematical Reasoning via Multimodal Understanding in Videos
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