cs.CL（2025-12-18）

📊 共 12 篇论文 | 🔗 2 篇有代码

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支柱九：具身大模型 (Embodied Foundation Models) (10 🔗2) 支柱二：RL算法与架构 (RL & Architecture) (2)

🔬 支柱九：具身大模型 (Embodied Foundation Models) (10 篇)

#	题目	一句话要点	标签	🔗	⭐
1	Multimodal RewardBench 2: Evaluating Omni Reward Models for Interleaved Text and Image	提出Multimodal RewardBench 2，用于评估处理交错文本和图像的通用奖励模型。	large language model multimodal
2	An Information-Theoretic Framework for Robust Large Language Model Editing	提出IBKE，基于信息瓶颈理论实现鲁棒的大语言模型知识编辑	large language model
3	DualGuard: Dual-stream Large Language Model Watermarking Defense against Paraphrase and Spoofing Attack	提出DualGuard，一种可防御复述攻击和欺骗攻击的双流大语言模型水印算法	large language model
4	Hearing to Translate: The Effectiveness of Speech Modality Integration into LLMs	首个SpeechLLM综合评测：对比端到端与级联架构语音翻译性能	large language model foundation model
5	From Facts to Conclusions : Integrating Deductive Reasoning in Retrieval-Augmented LLMs	提出推理追踪增强的RAG框架，解决检索信息冲突和主观性问题。	large language model
6	Refusal Steering: Fine-grained Control over LLM Refusal Behaviour for Sensitive Topics	Refusal Steering：通过激活向量干预实现对LLM在敏感话题上拒绝行为的细粒度控制	large language model
7	Sigma-Moe-Tiny Technical Report	Sigma-MoE-Tiny：提出一种高稀疏MoE语言模型，解决专家负载均衡问题，实现高效扩展。	foundation model	✅
8	From Essence to Defense: Adaptive Semantic-aware Watermarking for Embedding-as-a-Service Copyright Protection	提出SemMark：一种自适应语义感知水印方法，用于保护Embedding-as-a-Service的版权	large language model
9	Evaluating OpenAI GPT Models for Translation of Endangered Uralic Languages: A Comparison of Reasoning and Non-Reasoning Architectures	评估OpenAI GPT模型在濒危乌拉尔语翻译中的表现，对比推理与非推理架构。	large language model
10	LoPA: Scaling dLLM Inference via Lookahead Parallel Decoding	LoPA：通过前瞻并行解码加速扩散大语言模型推理	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	🔗	⭐
11	AdaSearch: Balancing Parametric Knowledge and Search in Large Language Models via Reinforcement Learning	AdaSearch：通过强化学习平衡大语言模型中的参数知识和搜索	reinforcement learning large language model
12	JustRL: Scaling a 1.5B LLM with a Simple RL Recipe	JustRL：通过简单强化学习方法扩展15亿参数LLM，实现数学推理SOTA	reinforcement learning curriculum learning large language model

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