cs.CL（2025-05-13）

📊 共 27 篇论文 | 🔗 2 篇有代码

🎯 兴趣领域导航

支柱九：具身大模型 (Embodied Foundation Models) (24 🔗2) 支柱二：RL算法与架构 (RL & Architecture) (3)

🔬 支柱九：具身大模型 (Embodied Foundation Models) (24 篇)

#题目一句话要点标签🔗⭐
1 VLM-KG: Multimodal Radiology Knowledge Graph Generation 提出VLM-KG以解决放射学知识图谱生成问题 multimodal instruction following
2 Large Language Models Meet Stance Detection: A Survey of Tasks, Methods, Applications, Challenges and Future Directions 提出系统性分析以推动基于大语言模型的立场检测研究 large language model multimodal
3 Accelerating Chain-of-Thought Reasoning: When Goal-Gradient Importance Meets Dynamic Skipping 提出Adaptive GoGI-Skip以解决长文本推理效率低下问题 large language model chain-of-thought
4 ALOHA: Empowering Multilingual Agent for University Orientation with Hierarchical Retrieval 提出ALOHA以解决大学校园信息检索的多语言问题 large language model Aloha
5 HealthBench: Evaluating Large Language Models Towards Improved Human Health 提出HealthBench以评估大型语言模型在医疗健康中的表现 large language model instruction following
6 Enhancing Thyroid Cytology Diagnosis with RAG-Optimized LLMs and Pa-thology Foundation Models 提出RAG优化的LLMs与病理基础模型以提升甲状腺细胞学诊断 large language model foundation model
7 Aya Vision: Advancing the Frontier of Multilingual Multimodality 提出Aya Vision以解决多语言多模态模型构建中的挑战 multimodal
8 LCES: Zero-shot Automated Essay Scoring via Pairwise Comparisons Using Large Language Models 提出LCES方法以解决零-shot自动化作文评分的偏差问题 large language model
9 Large Language Model Psychometrics: A Systematic Review of Evaluation, Validation, and Enhancement 提出大语言模型心理测量方法以解决评估与验证挑战 large language model ✅
10 HCR-Reasoner: Synergizing Large Language Models and Theory for Human-like Causal Reasoning 提出HCR-Reasoner以解决人类因果推理的系统性问题 large language model
11 Probability Consistency in Large Language Models: Theoretical Foundations Meet Empirical Discrepancies 提出一致性概率学习方法以解决LLMs的偏差问题 large language model
12 NurValues: Real-World Nursing Values Evaluation for Large Language Models in Clinical Context 提出NurValues基准以评估临床环境中的护理价值对齐 large language model ✅
13 Small but Significant: On the Promise of Small Language Models for Accessible AIED 提出小型语言模型以解决教育领域的可及性问题 large language model
14 Enhancing Cache-Augmented Generation (CAG) with Adaptive Contextual Compression for Scalable Knowledge Integration 提出自适应上下文压缩以解决CAG扩展性问题 large language model
15 A Head to Predict and a Head to Question: Pre-trained Uncertainty Quantification Heads for Hallucination Detection in LLM Outputs 提出预训练不确定性量化模块以解决LLM幻觉检测问题 large language model
16 A suite of LMs comprehend puzzle statements as well as humans 重新评估大型语言模型在理解英语语句中的表现 large language model
17 Adaptive Schema-aware Event Extraction with Retrieval-Augmented Generation 提出自适应模式感知事件提取方法以解决现有方法的局限性 large language model
18 Automatic Task Detection and Heterogeneous LLM Speculative Decoding 提出自动任务检测与异构LLM推测解码以优化下游任务 large language model
19 LibVulnWatch: A Deep Assessment Agent System and Leaderboard for Uncovering Hidden Vulnerabilities in Open-Source AI Libraries 提出LibVulnWatch以解决开源AI库中的隐性安全风险问题 large language model
20 IterKey: Iterative Keyword Generation with LLMs for Enhanced Retrieval Augmented Generation 提出IterKey以解决RAG中的准确性与可解释性问题 large language model
21 A document processing pipeline for the construction of a dataset for topic modeling based on the judgments of the Italian Supreme Court 提出文档处理管道以构建意大利最高法院判决主题建模数据集 large language model
22 TUMS: Enhancing Tool-use Abilities of LLMs with Multi-structure Handlers 提出TUMS框架以提升LLMs的工具使用能力 large language model
23 Towards Contamination Resistant Benchmarks 提出抗污染基准以解决LLM评估可靠性问题 large language model
24 Evaluating the Effectiveness of Black-Box Prompt Optimization as the Scale of LLMs Continues to Grow 评估黑箱提示优化在大规模LLM中的有效性 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🔗⭐
25 Fusing Bidirectional Chains of Thought and Reward Mechanisms A Method for Enhancing Question-Answering Capabilities of Large Language Models for Chinese Intangible Cultural Heritage 提出双向思维链与奖励机制以提升大语言模型在非物质文化遗产领域的问答能力 distillation large language model
26 Alignment Drift in CEFR-prompted LLMs for Interactive Spanish Tutoring 探讨CEFR提示下大语言模型在西班牙语互动辅导中的对齐漂移问题 teacher-student large language model
27 Detecting Prefix Bias in LLM-based Reward Models 提出检测前缀偏差的方法以改善LLM奖励模型的公平性 reinforcement learning RLHF

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