cs.CL(2025-10-10)

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支柱九:具身大模型 (Embodied Foundation Models) (3 🔗1) 支柱二:RL算法与架构 (RL & Architecture) (2)

🔬 支柱九:具身大模型 (Embodied Foundation Models) (3 篇)

#题目一句话要点标签🔗
1 Don't Throw Away Your Pretrained Model 提出Switch Generation,通过模型协作提升语言模型综合能力 instruction following
2 HIPPD: Brain-Inspired Hierarchical Information Processing for Personality Detection HIPPD:一种脑启发的分层信息处理框架,用于人格检测 large language model
3 CoBia: Constructed Conversations Can Trigger Otherwise Concealed Societal Biases in LLMs CoBia:通过构造对话揭示LLM中潜在的社会偏见 large language model

🔬 支柱二:RL算法与架构 (RL & Architecture) (2 篇)

#题目一句话要点标签🔗
4 Abductive Preference Learning 提出溯因偏好学习,提升大模型对反事实提示的敏感性 reinforcement learning preference learning RLHF
5 Enhancing Faithfulness in Abstractive Summarization via Span-Level Fine-Tuning 提出基于Span级别微调的抽象摘要方法,提升生成摘要的忠实度 contrastive learning large language model

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