Self-Distillation Fine-Tuning (SDFT): A Method for Continual Learning from Demonstrations
Continual learning, enabling models to acquire new skills and knowledge without degrading existing capabilities, remains a fundamental challenge for foundation models. While on-policy reinforcement…
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LifeSkill: A Reinforcement Learning Framework for Online Lifelong Learning in LLM Agents
Lifelong learning is essential for Large Language Model (LLM) agents operating in dynamic, interactive environments. However, existing lifel
Study Reveals How RL and SFT Differently Teach Transformers Chain-of-Thought Reasoning on Sparse Boolean Functions
Transformers can acquire Chain-of-Thought (CoT) capabilities to solve complex reasoning tasks through fine-tuning. Reinforcement learning (R

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