cs.CL（2025-09-27）

📊 共 33 篇论文 | 🔗 5 篇有代码

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支柱九：具身大模型 (Embodied Foundation Models) (27 🔗4) 支柱二：RL算法与架构 (RL & Architecture) (6 🔗1)

🔬 支柱九：具身大模型 (Embodied Foundation Models) (27 篇)

#题目一句话要点标签🔗⭐
1 Comparison of Scoring Rationales Between Large Language Models and Human Raters 对比大型语言模型与人类评分者的评分理由，探究自动评分一致性问题 large language model
2 How to Make Large Language Models Generate 100% Valid Molecules? 提出SmiSelf框架，确保大语言模型100%生成有效分子 large language model ✅
3 The Impact of Role Design in In-Context Learning for Large Language Models 研究角色设计对大语言模型上下文学习的影响，提升模型在多任务上的性能 large language model
4 Cognition-of-Thought Elicits Social-Aligned Reasoning in Large Language Models 提出Cognition-of-Thought框架以提升大语言模型的社会对齐推理能力 large language model
5 Detecting Corpus-Level Knowledge Inconsistencies in Wikipedia with Large Language Models 提出CLAIRE系统，用于检测维基百科语料库级别知识不一致性，提升编辑效率。 large language model
6 A Structured Framework for Evaluating and Enhancing Interpretive Capabilities of Multimodal LLMs in Culturally Situated Tasks 提出结构化框架，评估并提升多模态LLM在中国文化情境下的理解能力 multimodal ✅
7 CCD: Mitigating Hallucinations in Radiology MLLMs via Clinical Contrastive Decoding 提出临床对比解码(CCD)框架，缓解放射学多模态大语言模型中的幻觉问题 large language model multimodal
8 Modeling the language cortex with form-independent and enriched representations of sentence meaning reveals remarkable semantic abstractness 利用形式无关且丰富的句子表征建模语言皮层，揭示显著的语义抽象性 large language model
9 An Senegalese Legal Texts Structuration Using LLM-augmented Knowledge Graph 利用LLM增强的知识图谱构建塞内加尔法律文本结构化体系 large language model
10 Train Once, Answer All: Many Pretraining Experiments for the Cost of One 提出单次训练多重实验方法，降低大语言模型预训练实验成本。 large language model
11 Alignment through Meta-Weighted Online Sampling: Bridging the Gap between Data Generation and Preference Optimization 提出MetaAPO，通过元加权在线采样弥合数据生成与偏好优化之间的差距 large language model
12 Breaking the MoE LLM Trilemma: Dynamic Expert Clustering with Structured Compression 提出基于动态专家聚类与结构化压缩的MoE LLM优化框架，解决负载不均、参数冗余和通信开销问题。 large language model
13 Evaluating Bias in Spoken Dialogue LLMs for Real-World Decisions and Recommendations 系统评估语音对话大模型在决策和推荐中的偏见，揭示多轮对话下的偏见放大效应。 large language model
14 Language, Culture, and Ideology: Personalizing Offensiveness Detection in Political Tweets with Reasoning LLMs 利用推理LLM个性化政治推文冒犯性检测，考虑语言、文化和意识形态因素 large language model
15 Dual-Space Smoothness for Robust and Balanced LLM Unlearning PRISM：通过双空间平滑实现鲁棒且均衡的LLM不可学习 large language model
16 LLMSQL: Upgrading WikiSQL for the LLM Era of Text-to-SQL LLMSQL：为大语言模型时代升级WikiSQL文本到SQL数据集 large language model
17 A2D: Any-Order, Any-Step Safety Alignment for Diffusion Language Models 提出A2D以解决扩散语言模型的安全性问题 large language model
18 Small Language Models for Curriculum-based Guidance 利用小型语言模型和课程指导，构建可持续的AI教学助手 large language model
19 $\texttt{BluePrint}$: A Social Media User Dataset for LLM Persona Evaluation and Training 提出BluePrint数据集，用于评估和训练LLM在社交媒体中的用户行为模拟。 large language model
20 Semantic Voting: A Self-Evaluation-Free Approach for Efficient LLM Self-Improvement on Unverifiable Open-ended Tasks 提出语义投票方法，无需自评估即可高效提升LLM在开放式任务上的性能 large language model
21 MaskSQL: Safeguarding Privacy for LLM-Based Text-to-SQL via Abstraction 提出MaskSQL框架，通过抽象化保护LLM文本转SQL任务中的隐私。 large language model
22 No Loss, No Gain: Gated Refinement and Adaptive Compression for Prompt Optimization 提出GRACE框架，通过门控优化和自适应压缩提升Prompt优化效率与性能。 large language model ✅
23 PonderLM-2: Pretraining LLM with Latent Thoughts in Continuous Space PonderLM-2：通过在连续空间中预训练具有潜在思想的LLM，提升单token生成质量。 chain-of-thought
24 Test-Time Policy Adaptation for Enhanced Multi-Turn Interactions with LLMs 提出测试时策略自适应(T2PAM)框架，增强LLM多轮交互中的性能。 large language model
25 d$^2$Cache: Accelerating Diffusion-Based LLMs via Dual Adaptive Caching 提出d$^2$Cache，通过双重自适应缓存加速扩散模型LLM的推理。 large language model ✅
26 The Geometry of Creative Variability: How Credal Sets Expose Calibration Gaps in Language Models 利用Credal集揭示语言模型在创造性任务中的校准差距 large language model
27 Peacemaker or Troublemaker: How Sycophancy Shapes Multi-Agent Debate 提出多智能体辩论中谄媚行为的评估框架，揭示其对辩论质量的负面影响 large language model

🔬 支柱二：RL算法与架构 (RL & Architecture) (6 篇)

#题目一句话要点标签🔗⭐
28 DRIFT: Learning from Abundant User Dissatisfaction in Real-World Preference Learning 提出DRIFT以解决现实世界偏好学习中的用户不满信号问题 preference learning DPO large language model ✅
29 MedCritical: Enhancing Medical Reasoning in Small Language Models via Self-Collaborative Correction MedCritical：通过自协作校正增强小语言模型在医疗推理中的能力 DPO direct preference optimization distillation
30 From Evidence to Trajectory: Abductive Reasoning Path Synthesis for Training Retrieval-Augmented Generation Agents 提出EviPath，通过证据增强的推理路径合成，提升RAG Agent的训练效果。 reinforcement learning large language model chain-of-thought
31 Learning to Reason in Structured In-context Environments with Reinforcement Learning 提出SIE框架，利用强化学习提升LLM在结构化上下文环境中的推理能力 reinforcement learning large language model
32 Tagging the Thought: Unlocking Personalization Reasoning via Reinforcement Learning TagPR：通过强化学习和思维标注提升LLM的个性化推理能力 reinforcement learning large language model
33 PARL-MT: Learning to Call Functions in Multi-Turn Conversation with Progress Awareness PARL-MT：通过进度感知学习在多轮对话中调用函数 reinforcement learning large language model

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