研究自然语言反馈是否真比单纯重复尝试更有效，揭示多轮语言智能体性能提升的真实驱动力。
arXiv:2606.30774v1 Announce Type: new Abstract: We study when natural-language feedback produces improvement beyond the gains obtainable from repeated…
从理论层面形式化语言反馈学习，提供可证明的保证，为机器学习新范式奠定基础。
arXiv:2506.10341v2 Announce Type: replace Abstract: Interactively learning from observation and language feedback is an increasingly studied area driv…
用语言反馈教大模型模拟人类行为，比代码数学更难但更具社会智能价值
arXiv:2605.20506v1 Announce Type: new Abstract: Humans learn social norms and behaviors from verbal feedback (e.g., a parent saying "that was rude" or…
提出可学习的逐步语言反馈机制STRIDE，让LLM在推理过程中自动修正错误，提升复杂推理任务准确性。
arXiv:2605.18851v1 Announce Type: new Abstract: Recent advances in Reinforcement Learning (RL) have underscored its potential for incentivizing reason…