cs.CL（2024-01-26）

📊 共 16 篇论文 | 🔗 3 篇有代码

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支柱九：具身大模型 (Embodied Foundation Models) (15 🔗3) 支柱二：RL算法与架构 (RL & Architecture) (1)

🔬 支柱九：具身大模型 (Embodied Foundation Models) (15 篇)

#题目一句话要点标签🔗⭐
1 Scalable Qualitative Coding with LLMs: Chain-of-Thought Reasoning Matches Human Performance in Some Hermeneutic Tasks 利用LLMs实现可扩展的定性编码，提升人文研究效率 large language model chain-of-thought
2 Large Language Model Adaptation for Financial Sentiment Analysis 提出金融领域大语言模型适应方法以提升情感分析效果 large language model foundation model
3 Developing ChemDFM as a large language foundation model for chemistry 提出ChemDFM以解决化学领域通用AI模型不足问题 large language model foundation model ✅
4 Measuring Moral Inconsistencies in Large Language Models 提出语义图熵以解决大语言模型道德不一致性问题 large language model
5 Turn-taking and Backchannel Prediction with Acoustic and Large Language Model Fusion 提出融合声学模型与大语言模型的对话轮次与反馈预测方法 large language model
6 PROXYQA: An Alternative Framework for Evaluating Long-Form Text Generation with Large Language Models 提出ProxyQA框架以评估长文本生成质量 large language model
7 Enhancing Diagnostic Accuracy through Multi-Agent Conversations: Using Large Language Models to Mitigate Cognitive Bias 利用多智能体对话提升诊断准确性以应对认知偏差问题 large language model
8 LongFin: A Multimodal Document Understanding Model for Long Financial Domain Documents 提出LongFin以解决长金融文档理解问题 multimodal
9 MaLLaM -- Malaysia Large Language Model 提出MaLLaM以解决马来西亚语境下大语言模型的不足 large language model ✅
10 Scientific Large Language Models: A Survey on Biological & Chemical Domains 系统性综述科学领域的大型语言模型及其应用 large language model
11 F-Eval: Assessing Fundamental Abilities with Refined Evaluation Methods 提出F-Eval以评估大型语言模型的基本能力 large language model instruction following
12 Do LLMs Dream of Ontologies? 探讨大型语言模型对本体知识的记忆能力 large language model
13 Under the Surface: Tracking the Artifactuality of LLM-Generated Data 研究LLM生成数据的质量与多样性问题 large language model
14 The Power of Noise: Redefining Retrieval for RAG Systems 提出噪声增强策略以优化RAG系统的检索效果 large language model
15 Unearthing Large Scale Domain-Specific Knowledge from Public Corpora 提出Retrieve-from-CC方法以解决特定领域知识数据匮乏问题 large language model ✅

🔬 支柱二：RL算法与架构 (RL & Architecture) (1 篇)

#题目一句话要点标签🔗⭐
16 Health Text Simplification: An Annotated Corpus for Digestive Cancer Education and Novel Strategies for Reinforcement Learning 提出健康文本简化模型以改善癌症教育信息的可理解性 reinforcement learning RLHF large language model

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