cs.CL（2024-07-05）

📊 共 19 篇论文 | 🔗 2 篇有代码

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支柱九：具身大模型 (Embodied Foundation Models) (17 🔗2) 支柱二：RL算法与架构 (RL & Architecture) (2)

🔬 支柱九：具身大模型 (Embodied Foundation Models) (17 篇)

#题目一句话要点标签🔗⭐
1 Controlling Whisper: Universal Acoustic Adversarial Attacks to Control Speech Foundation Models 提出通用声学对抗攻击，控制语音基础模型行为 large language model foundation model
2 ArAIEval Shared Task: Propagandistic Techniques Detection in Unimodal and Multimodal Arabic Content ArAIEval 共享任务：提出阿拉伯语单模态和多模态内容中的宣传技巧检测方案 multimodal
3 Re-Tuning: Overcoming the Compositionality Limits of Large Language Models with Recursive Tuning Re-Tuning：通过递归调优克服大语言模型在组合性任务上的局限性 large language model
4 Identifying the Source of Generation for Large Language Models 提出双元语法源标识符，用于识别大型语言模型生成文本的来源。 large language model
5 Crafting Large Language Models for Enhanced Interpretability 提出概念瓶颈大语言模型(CB-LLM)，实现固有可解释性并提升模型性能。 large language model
6 ANAH-v2: Scaling Analytical Hallucination Annotation of Large Language Models ANAH-v2：提出迭代自训练框架，解决大语言模型分析性幻觉标注的规模化难题。 large language model
7 VRSD: Rethinking Similarity and Diversity for Retrieval in Large Language Models VRSD：面向大语言模型的检索，重新思考相似性和多样性 large language model
8 Generalists vs. Specialists: Evaluating Large Language Models for Urdu 对比通用与专用LLM在乌尔都语NLP任务上的性能，发现专用模型更优 large language model
9 Not (yet) the whole story: Evaluating Visual Storytelling Requires More than Measuring Coherence, Grounding, and Repetition 提出一种基于人类相似性的视觉故事生成评估方法，揭示现有指标的局限性。 foundation model visual grounding
10 Me, Myself, and AI: The Situational Awareness Dataset (SAD) for LLMs 提出情境感知数据集SAD，用于评估大型语言模型（LLMs）的自我认知能力。 large language model instruction following
11 Automating Venture Capital: Founder assessment using LLM-powered segmentation, feature engineering and automated labeling techniques 利用LLM进行创始人评估，助力风险投资决策自动化 large language model chain-of-thought
12 PoPreRo: A New Dataset for Popularity Prediction of Romanian Reddit Posts 提出PoPreRo：一个用于预测罗马尼亚Reddit帖子受欢迎程度的新数据集 large language model ✅
13 GPT vs RETRO: Exploring the Intersection of Retrieval and Parameter-Efficient Fine-Tuning 对比研究PEFT在GPT和RETRO模型上的表现，揭示检索增强与参数高效微调的协同效应 large language model
14 Towards Enhancing Coherence in Extractive Summarization: Dataset and Experiments with LLMs 提出面向用户意图的抽取式摘要数据集，提升LLM生成摘要的连贯性 large language model ✅
15 Aligning Model Evaluations with Human Preferences: Mitigating Token Count Bias in Language Model Assessments 提出一种校准方法，减轻语言模型评估中token数量偏差，提升与人类偏好对齐度 large language model
16 Statistical investigations into the geometry and homology of random programs 利用几何与拓扑统计分析随机程序，无需高维嵌入近似 large language model
17 From 'Showgirls' to 'Performers': Fine-tuning with Gender-inclusive Language for Bias Reduction in LLMs 通过性别包容性语言微调LLM，减少性别偏见 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🔗⭐
18 Leveraging Graph Structures to Detect Hallucinations in Large Language Models 利用图结构检测大型语言模型中的幻觉现象 contrastive learning large language model
19 Question Answering with Texts and Tables through Deep Reinforcement Learning 提出基于深度强化学习的文本表格问答系统，解决多跳推理问题。 reinforcement learning deep reinforcement learning

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