cs.CL（2023-10-17）

📊 共 32 篇论文 | 🔗 5 篇有代码

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支柱九：具身大模型 (Embodied Foundation Models) (27 🔗3) 支柱二：RL算法与架构 (RL & Architecture) (4 🔗2) 支柱一：机器人控制 (Robot Control) (1)

🔬 支柱九：具身大模型 (Embodied Foundation Models) (27 篇)

#题目一句话要点标签🔗⭐
1 Automated Evaluation of Personalized Text Generation using Large Language Models 提出AuPEL以解决个性化文本生成评估问题 large language model
2 Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective 提出基于参数视角的知识迁移方法以优化小型语言模型 large language model ✅
3 Entity Matching using Large Language Models 利用大型语言模型进行实体匹配以解决数据集成问题 large language model
4 Can Large Language Models Explain Themselves? A Study of LLM-Generated Self-Explanations 研究大型语言模型自我解释能力以提升可解释性 large language model
5 Probing the Creativity of Large Language Models: Can models produce divergent semantic association? 探讨大型语言模型的创造力，评估其语义发散关联能力 large language model
6 Evidence of interrelated cognitive-like capabilities in large language models: Indications of artificial general intelligence or achievement? 探讨大型语言模型的认知能力与人工通用智能的关系 large language model
7 Utilising a Large Language Model to Annotate Subject Metadata: A Case Study in an Australian National Research Data Catalogue 利用大型语言模型进行主题元数据注释以解决数据集元数据质量问题 large language model
8 Generative error correction for code-switching speech recognition using large language models 提出生成性错误修正方法以解决代码切换语音识别问题 large language model
9 Emulating Human Cognitive Processes for Expert-Level Medical Question-Answering with Large Language Models 提出BooksMed框架以解决医疗领域专家级问答问题 large language model
10 H2O Open Ecosystem for State-of-the-art Large Language Models 提出H2O开放生态系统以推动大型语言模型的开发与测试 large language model
11 Learning from Red Teaming: Gender Bias Provocation and Mitigation in Large Language Models 提出自动生成测试案例以检测和缓解大型语言模型中的性别偏见 large language model
12 Denevil: Towards Deciphering and Navigating the Ethical Values of Large Language Models via Instruction Learning 提出DeNEVIL以解决大型语言模型的伦理价值识别问题 large language model
13 EXMODD: An EXplanatory Multimodal Open-Domain Dialogue dataset 提出多模态数据构建框架以解决对话数据质量问题 multimodal ✅
14 Multi-stage Large Language Model Correction for Speech Recognition 提出多阶段大语言模型校正方法以提升语音识别性能 large language model
15 BitNet: Scaling 1-bit Transformers for Large Language Models 提出BitNet以解决大型语言模型的能耗与部署问题 large language model
16 An Empirical Study of Translation Hypothesis Ensembling with Large Language Models 通过假设集成提升LLM机器翻译质量 large language model
17 DialogueLLM: Context and Emotion Knowledge-Tuned Large Language Models for Emotion Recognition in Conversations 提出DialogueLLM以解决情感识别中的多模态信息不足问题 large language model
18 KG-GPT: A General Framework for Reasoning on Knowledge Graphs Using Large Language Models 提出KG-GPT框架以解决知识图谱推理问题 large language model
19 The Quo Vadis of the Relationship between Language and Large Language Models 探讨大型语言模型与语言关系的科学模型透明性问题 large language model
20 Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection 提出Self-RAG以提升语言模型的生成质量与准确性 large language model
21 Quantifying Language Models' Sensitivity to Spurious Features in Prompt Design or: How I learned to start worrying about prompt formatting 提出FormatSpread算法以评估提示格式对LLM性能的影响 large language model
22 Intent Detection and Slot Filling for Home Assistants: Dataset and Analysis for Bangla and Sylheti 提出针对孟加拉语和西尔赫提语的意图识别与槽位填充数据集 large language model
23 Revealing the Unwritten: Visual Investigation of Beam Search Trees to Address Language Model Prompting Challenges 提出交互式可视化方法以解决语言模型提示挑战 large language model
24 VeRA: Vector-based Random Matrix Adaptation 提出VeRA以解决LoRA在大模型适应中的存储挑战 large language model
25 Watermarking LLMs with Weight Quantization 提出一种水印策略以保护大型语言模型权重 large language model
26 Reading Order Matters: Information Extraction from Visually-rich Documents by Token Path Prediction 提出Token Path Prediction以解决视觉丰富文档信息提取中的阅读顺序问题 multimodal
27 TEQ: Trainable Equivalent Transformation for Quantization of LLMs 提出TEQ以解决大语言模型量化精度问题 large language model ✅

🔬 支柱二：RL算法与架构 (RL & Architecture) (4 篇)

#题目一句话要点标签🔗⭐
28 Large Language Models can Contrastively Refine their Generation for Better Sentence Representation Learning 提出MultiCSR框架以提升句子表示学习效果 representation learning contrastive learning large language model
29 Personalized Soups: Personalized Large Language Model Alignment via Post-hoc Parameter Merging 提出个性化人类反馈强化学习以解决多样化偏好问题 reinforcement learning RLHF large language model ✅
30 Spatial HuBERT: Self-supervised Spatial Speech Representation Learning for a Single Talker from Multi-channel Audio 提出Spatial HuBERT以解决单通道音频表示不足的问题 representation learning PULSE
31 MUST&P-SRL: Multi-lingual and Unified Syllabification in Text and Phonetic Domains for Speech Representation Learning 提出多语言统一音节划分方法以提升语音表示学习 representation learning ✅

🔬 支柱一：机器人控制 (Robot Control) (1 篇)

#题目一句话要点标签🔗⭐
32 RealBehavior: A Framework for Faithfully Characterizing Foundation Models' Human-like Behavior Mechanisms 提出RealBehavior框架以准确表征基础模型的人类行为机制 humanoid foundation model

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