cs.CL（2025-05-10）

📊 共 12 篇论文 | 🔗 4 篇有代码

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支柱九：具身大模型 (Embodied Foundation Models) (8 🔗3) 支柱二：RL算法与架构 (RL & Architecture) (3 🔗1) 支柱六：视频提取与匹配 (Video Extraction) (1)

🔬 支柱九：具身大模型 (Embodied Foundation Models) (8 篇)

#题目一句话要点标签🔗⭐
1 Integrating Video and Text: A Balanced Approach to Multimodal Summary Generation and Evaluation 提出零-shot视频到文本摘要生成方法以解决多模态信息整合问题 multimodal
2 People Are Highly Cooperative with Large Language Models, Especially When Communication Is Possible or Following Human Interaction 探讨人类与大型语言模型的合作行为及其影响因素 large language model
3 Recovering Event Probabilities from Large Language Model Embeddings via Axiomatic Constraints 通过公理约束从大语言模型嵌入中恢复事件概率 large language model
4 Think in Safety: Unveiling and Mitigating Safety Alignment Collapse in Multimodal Large Reasoning Model 提出安全思维方法以解决多模态大推理模型的安全对齐崩溃问题 multimodal ✅
5 Utilizing LLMs to Investigate the Disputed Role of Evidence in Electronic Cigarette Health Policy Formation in Australia and the UK 利用大型语言模型分析电子烟健康政策形成中的证据角色 large language model
6 SCAN: Structured Capability Assessment and Navigation for LLMs 提出SCAN框架以解决LLM能力评估不足的问题 large language model ✅
7 Signals from the Floods: AI-Driven Disaster Analysis through Multi-Source Data Fusion 提出AI驱动的多源数据融合方法以提升灾害响应能力 large language model
8 MacRAG: Compress, Slice, and Scale-up for Multi-Scale Adaptive Context RAG 提出MacRAG以解决长上下文RAG系统的检索不精确问题 large language model ✅

🔬 支柱二：RL算法与架构 (RL & Architecture) (3 篇)

#题目一句话要点标签🔗⭐
9 Gated Attention for Large Language Models: Non-linearity, Sparsity, and Attention-Sink-Free 提出门控注意力机制以提升大语言模型性能 state space model linear attention large language model ✅
10 REFINE-AF: A Task-Agnostic Framework to Align Language Models via Self-Generated Instructions using Reinforcement Learning from Automated Feedback 提出REFINE-AF框架以减少指令生成中的人力成本 reinforcement learning large language model
11 xGen-small Technical Report 提出xGen-small以优化长上下文应用问题 reinforcement learning preference learning

🔬 支柱六：视频提取与匹配 (Video Extraction) (1 篇)

#题目一句话要点标签🔗⭐
12 Boosting Neural Language Inference via Cascaded Interactive Reasoning 提出级联交互推理网络以提升自然语言推理性能 feature matching

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