Training Large Language Models to Reason in a Continuous Latent Space
Paper
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2412.06769
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Published
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62
RL Fine-tuning Reasoning
A Collection of Papers on Using Reinforcement Learning to Enhance Reasoning
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Language Models are Hidden Reasoners: Unlocking Latent Reasoning Capabilities via Self-Rewarding
Paper • 2411.04282 • Published • 31 -
Offline Reinforcement Learning for LLM Multi-Step Reasoning
Paper • 2412.16145 • Published • 33 -
MALT: Improving Reasoning with Multi-Agent LLM Training
Paper • 2412.01928 • Published • 39 -
Diving into Self-Evolving Training for Multimodal Reasoning
Paper • 2412.17451 • Published • 36 -
Enhancing the Reasoning Ability of Multimodal Large Language Models via Mixed Preference Optimization
Paper • 2411.10442 • Published • 68 -
Training Language Models to Self-Correct via Reinforcement Learning
Paper • 2409.12917 • Published • 135 -
LLaMA-Berry: Pairwise Optimization for O1-like Olympiad-Level Mathematical Reasoning
Paper • 2410.02884 • Published • 52 -
Advancing LLM Reasoning Generalists with Preference Trees
Paper • 2404.02078 • Published • 44 -
Teaching Large Language Models to Reason with Reinforcement Learning
Paper • 2403.04642 • Published • 46 -
B-STaR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners
Paper • 2412.17256 • Published • 37