cs.AI（2023-10-08）

📊 共 13 篇论文

🎯 兴趣领域导航

支柱九：具身大模型 (Embodied Foundation Models) (11) 支柱二：RL算法与架构 (RL & Architecture) (2)

🔬 支柱九：具身大模型 (Embodied Foundation Models) (11 篇)

#题目一句话要点标签🔗⭐
1 Revisiting Large Language Models as Zero-shot Relation Extractors 提出SumAsk方法以提升零样本关系抽取性能 large language model chain-of-thought
2 ZooPFL: Exploring Black-box Foundation Models for Personalized Federated Learning 提出ZOOPFL以解决个性化联邦学习中的资源限制问题 foundation model
3 MindfulDiary: Harnessing Large Language Model to Support Psychiatric Patients' Journaling 提出MindfulDiary以支持精神病患者的日记记录 large language model
4 Optimizing Large Language Models to Expedite the Development of Smart Contracts 提出MazzumaGPT以解决智能合约开发效率低下问题 large language model
5 Large Language Model (LLM) as a System of Multiple Expert Agents: An Approach to solve the Abstraction and Reasoning Corpus (ARC) Challenge 提出多专家代理系统以解决抽象与推理语料库挑战 large language model
6 Compresso: Structured Pruning with Collaborative Prompting Learns Compact Large Language Models 提出Compresso以解决大语言模型压缩问题 large language model
7 The Troubling Emergence of Hallucination in Large Language Models -- An Extensive Definition, Quantification, and Prescriptive Remediations 提出细致分类与量化方法以应对大语言模型的幻觉问题 large language model
8 InstructDET: Diversifying Referring Object Detection with Generalized Instructions 提出InstructDET以解决多样化的目标检测问题 large language model foundation model
9 Measuring reasoning capabilities of ChatGPT 量化ChatGPT推理能力的逻辑缺陷 large language model
10 AvalonBench: Evaluating LLMs Playing the Game of Avalon 提出AvalonBench以评估大型语言模型在社交推理游戏中的表现 large language model
11 LLM4VV: Developing LLM-Driven Testsuite for Compiler Validation 提出LLM驱动的测试套件以验证编译器实现 large language model

🔬 支柱二：RL算法与架构 (RL & Architecture) (2 篇)

#题目一句话要点标签🔗⭐
12 Hieros: Hierarchical Imagination on Structured State Space Sequence World Models 提出Hieros以解决深度强化学习中的样本效率问题 reinforcement learning deep reinforcement learning DRL
13 Intelligent DRL-Based Adaptive Region of Interest for Delay-sensitive Telemedicine Applications 提出基于智能深度强化学习的自适应ROI以解决远程医疗延迟问题 reinforcement learning deep reinforcement learning DRL

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