cs.CL（2024-05-02）

📊 共 23 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) (18 🔗2) 支柱二：RL算法与架构 (RL & Architecture) (5 🔗1)

🔬 支柱九：具身大模型 (Embodied Foundation Models) (18 篇)

#题目一句话要点标签🔗⭐
1 Analyzing the Role of Semantic Representations in the Era of Large Language Models 研究大型语言模型时代语义表示的作用，提出AMR驱动的思维链提示方法。 large language model chain-of-thought ✅
2 A Survey on Large Language Models for Critical Societal Domains: Finance, Healthcare, and Law 综述：大型语言模型在金融、医疗和法律等关键社会领域的应用与挑战 large language model ✅
3 Large Language Models are Inconsistent and Biased Evaluators 揭示大语言模型评估器的不一致性和偏见，并提出缓解方案 large language model
4 Automatically Extracting Numerical Results from Randomized Controlled Trials with Large Language Models 利用大型语言模型自动提取随机对照试验中的数值结果，加速Meta分析。 large language model
5 Investigating Wit, Creativity, and Detectability of Large Language Models in Domain-Specific Writing Style Adaptation of Reddit's Showerthoughts 研究大型语言模型在Reddit Showerthoughts领域特定写作风格的适应性、创造力和可检测性 large language model
6 Context-Aware Clustering using Large Language Models 提出CACTUS，利用开源LLM和上下文感知机制进行高效的监督文本聚类。 large language model
7 The Power of Question Translation Training in Multilingual Reasoning: Broadened Scope and Deepened Insights 利用问题翻译训练增强多语言推理能力，扩展应用范围并加深理解 large language model chain-of-thought
8 Prompt engineering paradigms for medical applications: scoping review and recommendations for better practices 综述医学领域Prompt工程范式，为提升实践效果提供建议 large language model chain-of-thought
9 Context Steering: Controllable Personalization at Inference Time 提出Context Steering，一种无需训练的推理时上下文可控个性化方法。 large language model
10 Question Suggestion for Conversational Shopping Assistants Using Product Metadata 利用产品元数据，为对话式购物助手生成问题建议，提升用户体验。 large language model
11 Controllable Text Generation in the Instruction-Tuning Era 提出ConGenBench基准测试，评估指令调优语言模型在可控文本生成中的性能，并提出自动生成约束数据集的算法。 large language model
12 Verification and Refinement of Natural Language Explanations through LLM-Symbolic Theorem Proving 提出Explanation-Refiner框架，结合LLM与定理证明提升NLI解释的有效性。 large language model
13 GAIA: A General AI Assistant for Intelligent Accelerator Operations GAIA：用于智能加速器操作的通用AI助手 large language model
14 The Effectiveness of LLMs as Annotators: A Comparative Overview and Empirical Analysis of Direct Representation 研究LLM作为标注器的有效性，对比分析直接表征方法 large language model
15 Efficient Data Generation for Source-grounded Information-seeking Dialogs: A Use Case for Meeting Transcripts 提出基于LLM半自动数据生成方法，用于会议记录上的源接地信息检索对话任务。 large language model
16 Automating the Analysis of Public Saliency and Attitudes towards Biodiversity from Digital Media 提出一种自动化分析公众对生物多样性态度的方法 large language model
17 On the Evaluation of Machine-Generated Reports 提出自动报告生成评估框架，解决长文本报告生成中完整性、准确性和可验证性问题。 large language model
18 How Can I Get It Right? Using GPT to Rephrase Incorrect Trainee Responses 利用GPT改进新手导师反馈：自动重述错误回答以提升培训效果 large language model

🔬 支柱二：RL算法与架构 (RL & Architecture) (5 篇)

#题目一句话要点标签🔗⭐
19 FLAME: Factuality-Aware Alignment for Large Language Models FLAME：提出事实感知对齐方法，提升大型语言模型的事实准确性。 reinforcement learning direct preference optimization large language model
20 NeMo-Aligner: Scalable Toolkit for Efficient Model Alignment NeMo-Aligner：用于高效模型对齐的可扩展工具包，支持千卡规模训练。 reinforcement learning RLHF DPO ✅
21 D2PO: Discriminator-Guided DPO with Response Evaluation Models 提出D2PO：一种判别器引导的DPO方法，利用响应评估模型提升在线偏好学习效率。 PPO RLHF DPO
22 Improving Complex Reasoning over Knowledge Graph with Logic-Aware Curriculum Tuning 提出LACT框架，通过逻辑感知课程调整提升LLM在知识图谱上的复杂推理能力 curriculum learning large language model
23 Distillation for Multilingual Information Retrieval 提出Multilingual Translate-Distill (MTD)框架，用于提升多语言信息检索(MLIR)性能。 distillation

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