From Trial-and-Error to Improvement: A Systematic Analysis of LLM Exploration Mechanisms in RLVR
Paper • 2508.07534 • Published • 1
Jie Chen
survivi
AI & ML interests
Large Language Model, Natural Language Processing
Recent Activity
upvoted a paper 7 days ago
Video Streaming Thinking: VideoLLMs Can Watch and Think Simultaneously upvoted a paper 7 days ago
V-Bridge: Bridging Video Generative Priors to Versatile Few-shot Image RestorationOrganizations
authored 4
papers about 1 month ago
Unveiling the Flaws: Exploring Imperfections in Synthetic Data and Mitigation Strategies for Large Language Models
Paper • 2406.12397 • Published
Sticker-TTS: Learn to Utilize Historical Experience with a Sticker-driven Test-Time Scaling Framework
Paper • 2509.05007 • Published
Decomposing the Entropy-Performance Exchange: The Missing Keys to Unlocking Effective Reinforcement Learning
Paper • 2508.02260 • Published
authored 8
papers about 1 year ago
The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models
Paper • 2401.03205 • Published
LLMBox: A Comprehensive Library for Large Language Models
Paper • 2407.05563 • Published
Towards Effective and Efficient Continual Pre-training of Large Language Models
Paper • 2407.18743 • Published
Technical Report: Enhancing LLM Reasoning with Reward-guided Tree Search
Paper • 2411.11694 • Published
Imitate, Explore, and Self-Improve: A Reproduction Report on Slow-thinking Reasoning Systems
Paper • 2412.09413 • Published • 1
YuLan-Mini: An Open Data-efficient Language Model
Paper • 2412.17743 • Published • 66
An Empirical Study on Eliciting and Improving R1-like Reasoning Models
Paper • 2503.04548 • Published • 9
R1-Searcher: Incentivizing the Search Capability in LLMs via Reinforcement Learning
Paper • 2503.05592 • Published • 27