cs.CL(2024-08-14)

📊 共 15 篇论文 | 🔗 3 篇有代码

🎯 兴趣领域导航

支柱九:具身大模型 (Embodied Foundation Models) (10 🔗2) 支柱二:RL算法与架构 (RL & Architecture) (3 🔗1) 支柱一:机器人控制 (Robot Control) (2)

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

#题目一句话要点标签🔗
1 Spoken Stereoset: On Evaluating Social Bias Toward Speaker in Speech Large Language Models 提出Spoken Stereoset数据集,用于评估语音大语言模型中针对说话者的社会偏见。 large language model multimodal
2 ONSEP: A Novel Online Neural-Symbolic Framework for Event Prediction Based on Large Language Model ONSEP:一种基于大语言模型的在线神经符号事件预测新框架 large language model
3 Knowledge in Superposition: Unveiling the Failures of Lifelong Knowledge Editing for Large Language Models 揭示大语言模型终身知识编辑失败的原因:知识叠加现象 large language model
4 Do GPT Language Models Suffer From Split Personality Disorder? The Advent Of Substrate-Free Psychometrics 揭示GPT语言模型人格分裂问题:基于无基质心理测量学的研究 large language model foundation model
5 Fast Training Dataset Attribution via In-Context Learning 提出基于上下文学习的快速训练数据归因方法,提升LLM数据贡献评估效率。 large language model
6 Alignment-Enhanced Decoding:Defending via Token-Level Adaptive Refining of Probability Distributions 提出对齐增强解码(AED),通过token级自适应优化概率分布防御大语言模型越狱攻击。 large language model
7 A Quantum-Inspired Analysis of Human Disambiguation Processes 利用量子力学形式化方法分析并重现人类歧义消解过程,性能优于现有NLP方法。 large language model
8 The Death of Schema Linking? Text-to-SQL in the Age of Well-Reasoned Language Models 利用大型语言模型,本文提出一种无需模式链接的Text-to-SQL方法,并在BIRD基准上取得领先。 large language model
9 WeKnow-RAG: An Adaptive Approach for Retrieval-Augmented Generation Integrating Web Search and Knowledge Graphs WeKnow-RAG:融合Web搜索与知识图谱的自适应检索增强生成方法 large language model
10 From Brazilian Portuguese to European Portuguese 提出一种基于LLM微调的巴西葡萄牙语到欧洲葡萄牙语翻译系统,并构建了高质量测试集。 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🔗
11 Bridging and Modeling Correlations in Pairwise Data for Direct Preference Optimization 提出BMC框架,通过桥接和建模成对数据相关性,提升DPO的对齐性能 DPO direct preference optimization large language model
12 Large Language Models Prompting With Episodic Memory 提出基于情景记忆的大语言模型提示优化方法POEM,提升小样本学习性能。 reinforcement learning large language model
13 Large Language Models Know What Makes Exemplary Contexts 提出基于强化学习的上下文学习框架,提升大语言模型的Few-shot性能 reinforcement learning large language model

🔬 支柱一:机器人控制 (Robot Control) (2 篇)

#题目一句话要点标签🔗
14 Enhanced Detection of Conversational Mental Manipulation Through Advanced Prompting Techniques 探索高级Prompting技术在对话式精神操控检测中的有效性 manipulation chain-of-thought
15 Assessing the Role of Lexical Semantics in Cross-lingual Transfer through Controlled Manipulations 通过可控操纵评估词汇语义在跨语言迁移中的作用 manipulation

⬅️ 返回 cs.CL 首页 · 🏠 返回主页