cs.AI（2025-03-17）

📊 共 7 篇论文 | 🔗 1 篇有代码

🎯 兴趣领域导航

支柱九：具身大模型 (Embodied Foundation Models) (5 🔗1) 支柱二：RL算法与架构 (RL & Architecture) (1) 支柱五：交互与反应 (Interaction & Reaction) (1)

🔬 支柱九：具身大模型 (Embodied Foundation Models) (5 篇)

#	题目	一句话要点	标签	🔗	⭐
1	MAP: Evaluation and Multi-Agent Enhancement of Large Language Models for Inpatient Pathways	提出MAP框架，利用多智能体增强大型语言模型在住院路径决策中的表现	large language model
2	MAP: Multi-user Personalization with Collaborative LLM-powered Agents	提出MAP：一个基于协同LLM智能体的多用户个性化系统，解决偏好冲突问题。	large language model
3	OSCAR: Online Soft Compression And Reranking	OSCAR：提出一种在线软压缩和重排序方法，加速检索增强生成。	large language model	✅
4	Are LLMs (Really) Ideological? An IRT-based Analysis and Alignment Tool for Perceived Socio-Economic Bias in LLMs	提出基于IRT的框架，用于检测和量化LLM中感知的社会经济偏见。	large language model
5	Identifying Cooperative Personalities in Multi-agent Contexts through Personality Steering with Representation Engineering	通过人格引导和表征工程，识别多智能体环境中的合作人格	large language model

🔬 支柱二：RL算法与架构 (RL & Architecture) (1 篇)

#	题目	一句话要点	标签	🔗	⭐
6	R1-VL: Learning to Reason with Multimodal Large Language Models via Step-wise Group Relative Policy Optimization	提出StepGRPO框架，提升多模态大语言模型在复杂推理任务中的能力	reinforcement learning large language model multimodal

🔬 支柱五：交互与反应 (Interaction & Reaction) (1 篇)

#	题目	一句话要点	标签	🔗	⭐
7	Intra-neuronal attention within language models Relationships between activation and semantics	研究语言模型神经元内部注意力机制，探索激活与语义的关联	OMOMO

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