cs.CL（2023-11-07）

📊 共 31 篇论文 | 🔗 5 篇有代码

🎯 兴趣领域导航

支柱九：具身大模型 (Embodied Foundation Models) (23 🔗3) 支柱二：RL算法与架构 (RL & Architecture) (7 🔗2) 支柱三：空间感知与语义 (Perception & Semantics) (1)

🔬 支柱九：具身大模型 (Embodied Foundation Models) (23 篇)

#题目一句话要点标签🔗⭐
1 mPLUG-Owl2: Revolutionizing Multi-modal Large Language Model with Modality Collaboration 提出mPLUG-Owl2以解决多模态大语言模型的协作问题 large language model foundation model
2 Rephrase and Respond: Let Large Language Models Ask Better Questions for Themselves 提出'Rephrase and Respond'方法以改善LLM问答质量 large language model chain-of-thought ✅
3 Syntax-Guided Transformers: Elevating Compositional Generalization and Grounding in Multimodal Environments 提出语法引导变换器以提升多模态环境中的组合泛化能力 multimodal
4 Towards Interpretable Sequence Continuation: Analyzing Shared Circuits in Large Language Models 提出可解释的序列延续分析方法以提升语言模型理解能力 large language model
5 Unveiling Safety Vulnerabilities of Large Language Models 提出AttaQ数据集以揭示大型语言模型的安全漏洞 large language model
6 Aspects of human memory and Large Language Models 探讨大型语言模型中的人类记忆特征 large language model
7 Dissecting the Runtime Performance of the Training, Fine-tuning, and Inference of Large Language Models 基于多维基准测试优化大语言模型的训练与推理性能 large language model
8 The Linear Representation Hypothesis and the Geometry of Large Language Models 提出线性表示假设以解析大语言模型的几何特性 large language model
9 Evaluating the Effectiveness of Retrieval-Augmented Large Language Models in Scientific Document Reasoning 评估检索增强型大语言模型在科学文献推理中的有效性 large language model
10 Evaluating Large Language Models in Ophthalmology 评估大型语言模型在眼科学中的应用效果 large language model
11 Input Reconstruction Attack against Vertical Federated Large Language Models 提出输入重构攻击以解决垂直联邦大语言模型隐私问题 large language model
12 Evaluating multiple large language models in pediatric ophthalmology 评估大型语言模型在儿科眼科咨询中的应用潜力 large language model
13 OLaLa: Ontology Matching with Large Language Models 提出OLaLa以提升本体匹配任务的准确性 large language model
14 Conversations in Galician: a Large Language Model for an Underrepresented Language 提出Galician Alpaca数据集以提升加利西亚语的自然语言处理能力 large language model
15 A Survey of Large Language Models Attribution 综述大语言模型归因机制以提升生成系统的可靠性 large language model ✅
16 CRAB: Assessing the Strength of Causal Relationships Between Real-world Events 提出CRAB以评估现实事件间因果关系的强度 large language model foundation model
17 Leveraging Structured Information for Explainable Multi-hop Question Answering and Reasoning 利用结构化信息提升可解释的多跳问答与推理能力 large language model chain-of-thought
18 Multilingual Mathematical Autoformalization 提出MMA数据集以解决自动形式化中的数据稀缺问题 large language model
19 Enhancing LLM Intelligence with ARM-RAG: Auxiliary Rationale Memory for Retrieval Augmented Generation 提出ARM-RAG以提升大语言模型的推理能力 large language model
20 Formal Aspects of Language Modeling 探讨大型语言模型的数学基础与实现方法 large language model
21 Exploring Recommendation Capabilities of GPT-4V(ision): A Preliminary Case Study 探索GPT-4V在推荐任务中的应用潜力 multimodal ✅
22 Which is better? Exploring Prompting Strategy For LLM-based Metrics 探索LLM驱动的评估指标提示策略以提升NLG质量评估 large language model
23 Unified Low-Resource Sequence Labeling by Sample-Aware Dynamic Sparse Finetuning 提出FISH-DIP以解决低资源序列标注问题 large language model

🔬 支柱二：RL算法与架构 (RL & Architecture) (7 篇)

#题目一句话要点标签🔗⭐
24 Black-Box Prompt Optimization: Aligning Large Language Models without Model Training 提出黑箱提示优化方法以解决大语言模型对人类意图的对齐问题 PPO DPO large language model ✅
25 Beyond Imitation: Leveraging Fine-grained Quality Signals for Alignment 提出FIGA以解决大型语言模型对人类偏好的对齐问题 reinforcement learning imitation learning RLHF
26 Perturbed examples reveal invariances shared by language models 提出新框架以比较语言模型的共享不变性 distillation large language model
27 Sub-Sentence Encoder: Contrastive Learning of Propositional Semantic Representations 提出子句编码器以解决细粒度语义表示问题 contrastive learning
28 What is Lost in Knowledge Distillation? 探讨知识蒸馏中的信息损失及其影响 distillation
29 Do LLMs exhibit human-like response biases? A case study in survey design 探讨大型语言模型在调查设计中的人类响应偏差 RLHF large language model ✅
30 Sparse Contrastive Learning of Sentence Embeddings 提出稀疏对比学习以提升句子嵌入质量 contrastive learning

🔬 支柱三：空间感知与语义 (Perception & Semantics) (1 篇)

#题目一句话要点标签🔗⭐
31 Benefits and Harms of Large Language Models in Digital Mental Health 探讨大型语言模型在数字心理健康中的利弊 affordance large language model

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