cs.CL（2025-09-06）

📊 共 10 篇论文 | 🔗 1 篇有代码

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支柱九：具身大模型 (Embodied Foundation Models) (5 🔗1) 支柱二：RL算法与架构 (RL & Architecture) (4) 支柱一：机器人控制 (Robot Control) (1)

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

#题目一句话要点标签🔗⭐
1 Llama-GENBA-10B: A Trilingual Large Language Model for German, English and Bavarian Llama-GENBA-10B：一种用于德语、英语和巴伐利亚语的三语大型语言模型 large language model foundation model
2 Icon$^{2}$: Aligning Large Language Models Using Self-Synthetic Preference Data via Inherent Regulation Icon²：利用LLM内在调控的自合成偏好数据对齐大语言模型 large language model
3 Cross-Question Method Reuse in Large Language Models: From Word-Level Prediction to Rational Logical-Layer Reasoning 提出跨问题方法复用框架，扩展大语言模型在低相似度问题上的推理能力 large language model
4 Enhancing Factual Accuracy and Citation Generation in LLMs via Multi-Stage Self-Verification 提出VeriFact-CoT，通过多阶段自验证提升LLM的事实准确性和引用生成质量 large language model chain-of-thought
5 LM-Searcher: Cross-domain Neural Architecture Search with LLMs via Unified Numerical Encoding LM-Searcher：利用LLM和统一数值编码实现跨领域神经架构搜索 large language model ✅

🔬 支柱二：RL算法与架构 (RL & Architecture) (4 篇)

#题目一句话要点标签🔗⭐
6 Mitigating Spurious Correlations Between Question and Answer via Chain-of-Thought Correctness Perception Distillation 提出CoPeD，通过纠正性感知蒸馏缓解CoT数据中的伪相关性问题 distillation large language model chain-of-thought
7 Using Contrastive Learning to Improve Two-Way Reasoning in Large Language Models: The Obfuscation Task as a Case Study 提出对比学习微调方法，提升大语言模型在代码混淆任务中的双向推理能力 contrastive learning large language model
8 A Survey of the State-of-the-Art in Conversational Question Answering Systems 综述性研究：对话式问答系统的前沿技术进展与未来方向 reinforcement learning contrastive learning large language model
9 LatinX: Aligning a Multilingual TTS Model with Direct Preference Optimization LatinX：通过直接偏好优化对齐多语种TTS模型，实现跨语种语音克隆 DPO direct preference optimization

🔬 支柱一：机器人控制 (Robot Control) (1 篇)

#题目一句话要点标签🔗⭐
10 AntiDote: Bi-level Adversarial Training for Tamper-Resistant LLMs AntiDote：面向抗篡改大语言模型的双层对抗训练方法 manipulation large language model

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