From Trial-and-Error to Improvement: A Systematic Analysis of LLM Exploration Mechanisms in RLVR Paper • 2508.07534 • Published Aug 11, 2025 • 1
Unveiling the Flaws: Exploring Imperfections in Synthetic Data and Mitigation Strategies for Large Language Models Paper • 2406.12397 • Published Jun 18, 2024
Sticker-TTS: Learn to Utilize Historical Experience with a Sticker-driven Test-Time Scaling Framework Paper • 2509.05007 • Published Sep 5, 2025
Decomposing the Entropy-Performance Exchange: The Missing Keys to Unlocking Effective Reinforcement Learning Paper • 2508.02260 • Published Aug 4, 2025
The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models Paper • 2401.03205 • Published Jan 6, 2024
Towards Effective and Efficient Continual Pre-training of Large Language Models Paper • 2407.18743 • Published Jul 26, 2024
Technical Report: Enhancing LLM Reasoning with Reward-guided Tree Search Paper • 2411.11694 • Published Nov 18, 2024
Imitate, Explore, and Self-Improve: A Reproduction Report on Slow-thinking Reasoning Systems Paper • 2412.09413 • Published Dec 12, 2024 • 1
An Empirical Study on Eliciting and Improving R1-like Reasoning Models Paper • 2503.04548 • Published Mar 6, 2025 • 9
R1-Searcher: Incentivizing the Search Capability in LLMs via Reinforcement Learning Paper • 2503.05592 • Published Mar 7, 2025 • 27