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收束与附录

附录 C:100+ 篇论文索引与主题分类

20 分钟 8,978 字 第 53 / 161 个阅读单元

下面给出一份按主题粗分类整理的论文索引。它不是严格学科 taxonomy,而是为了方便工程和方法论阅读。

#C.1 Foundation

  1. Generative Agents: Interactive Simulacra of Human Behavior
  2. A survey on large language model based autonomous agents
  3. The Rise and Potential of Large Language Model Based Agents: A Survey
  4. Large language models empowered agent-based modeling and simulation: a survey and perspectives
  5. Agents: An Open-source Framework for Autonomous Language Agents
  6. Large Language Models as Simulated Economic Agents: What Can We Learn from Homo Silicus?
  7. Voyager: An Open-Ended Embodied Agent with Large Language Models
  8. ChatEDA: A Large Language Model Powered Autonomous Agent for EDA
  9. WebShop: Towards Scalable Real-World Web Interaction with Grounded Language Agents
  10. Towards Autonomous Testing Agents via Conversational Large Language Models
  11. Generative Agent Simulations of 1,000 People
  12. Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security
  13. AI Agents vs. Agentic AI: A Conceptual Taxonomy, Applications and Challenges
  14. From language to action: a review of large language models as autonomous agents and tool users

#C.2 Tool Use

  1. Toolformer: Language Models Can Teach Themselves to Use Tools
  2. HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face
  3. StructGPT: A General Framework for Large Language Model to Reason over Structured Data
  4. ChemCrow: Augmenting large-language models with chemistry tools
  5. GeneGPT: augmenting large language models with domain tools for improved access to biomedical information
  6. GPT4Tools: Teaching Large Language Model to Use Tools via Self-instruction
  7. ART: Automatic multi-step reasoning and tool-use for large language models
  8. PrivacyAsst: Safeguarding User Privacy in Tool-Using Large Language Model Agents
  9. RCAgent: Cloud Root Cause Analysis by Autonomous Agents with Tool-Augmented Large Language Models
  10. Biomni: A General-Purpose Biomedical AI Agent
  11. Large language model agents can use tools to perform clinical calculations
  12. ReAcTable: Enhancing ReAct for Table Question Answering
  13. Exploring LLM-Based Agents for Root Cause Analysis

#C.3 Planning

  1. ReAct: Synergizing Reasoning and Acting in Language Models
  2. Inner Monologue: Embodied Reasoning through Planning with Language Models
  3. LLM-Planner: Few-Shot Grounded Planning for Embodied Agents with Large Language Models
  4. LLM+P: Empowering Large Language Models with Optimal Planning Proficiency
  5. Reasoning with Language Model is Planning with World Model
  6. NavGPT: Explicit Reasoning in Vision-and-Language Navigation with Large Language Models
  7. SMART-LLM: Smart Multi-Agent Robot Task Planning using Large Language Models
  8. Budget-Constrained Agentic Large Language Models: Intention-Based Planning for Costly Tool Use
  9. Enhancing AI Systems with Agentic Workflows Patterns in Large Language Model
  10. Understanding the planning of LLM agents: A survey

#C.4 Memory

  1. Reflexion: Language Agents with Verbal Reinforcement Learning
  2. FinMem: A Performance-Enhanced LLM Trading Agent with Layered Memory and Character Design
  3. Cognitive Architectures for Language Agents
  4. A Survey on the Memory Mechanism of Large Language Model-based Agents
  5. Adaptive Memory Admission Control for LLM Agents
  6. Lifelong Learning of Large Language Model based Agents: A Roadmap
  7. Self-Reflection in Large Language Model Agents: Effects on Problem-Solving Performance
  8. AI and memory
  9. SayNav: Grounding Large Language Models for Dynamic Planning to Navigation in New Environments
  10. On Generative Agents in Recommendation

#C.5 Multi-Agent

  1. AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation
  2. CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model Society
  3. MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework
  4. SciAgents: Automating Scientific Discovery Through Bioinspired Multi-Agent Intelligent Graph Reasoning
  5. ProtAgents: protein discovery via large language model multi-agent collaborations combining physics and machine learning
  6. ReConcile: Round-Table Conference Improves Reasoning via Consensus among Diverse LLMs
  7. Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate
  8. Theory of Mind for Multi-Agent Collaboration via Large Language Models
  9. Large Language Model based Multi-Agents: A Survey of Progress and Challenges
  10. Rethinking the Value of Multi-Agent Workflow: A Strong Single Agent Baseline

#C.6 Evaluation and Safety

  1. AgentBench: Evaluating LLMs as Agents
  2. AgentBoard: An Analytical Evaluation Board of Multi-turn LLM Agents
  3. WebArena: A Realistic Web Environment for Building Autonomous Agents
  4. OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments
  5. SWE-bench: Can Language Models Resolve Real-World GitHub Issues?
  6. InjecAgent: Benchmarking Indirect Prompt Injections in Tool-Integrated Large Language Model Agents
  7. Prompt Injection Attacks in Large Language Models and AI Agent Systems: A Comprehensive Review of Vulnerabilities, Attack Vectors, and Defense Mechanisms
  8. CodeAgent: Enhancing Code Generation with Tool-Integrated Agent Systems for Real-World Repo-level Coding Challenges
  9. Plug in the Safety Chip: Enforcing Constraints for LLM-driven Robot Agents
  10. Evaluating large language models as agents in the clinic

#C.7 Domain Agents

  1. Autonomous chemical research with large language models
  2. Augmenting large language models with chemistry tools
  3. Evaluating large language model workflows in clinical decision support for triage and referral and diagnosis
  4. An autonomous agentic workflow for clinical detection of cognitive concerns using large language models
  5. Language agents achieve superhuman synthesis of scientific knowledge
  6. Empowering biomedical discovery with AI agents
  7. Agent Hospital: A Simulacrum of Hospital with Evolvable Medical Agents
  8. Development and validation of an autonomous artificial intelligence agent for clinical decision-making in oncology
  9. GeneAgent: self-verification language agent for gene-set analysis using domain databases
  10. EconAgent: Large Language Model-Empowered Agents for Simulating Macroeconomic Activities

#C.8 Extended Corpus

以下保留其余扩展论文索引,作为这本书方法论形成的语料背景:

  1. A review of large language models and autonomous agents in chemistry
  2. Large Language Model Enhanced Multi-Agent Systems for 6G Communications
  3. Augmenting large language models with chemistry tools
  4. PaperQA: Retrieval-Augmented Generative Agent for Scientific Research
  5. AutoTQA: Towards Autonomous Tabular Question Answering through Multi-Agent Large Language Models
  6. A feasibility study of automating radiotherapy planning with large language model agents
  7. Igniting Language Intelligence: The Hitchhiker’s Guide from Chain-of-Thought Reasoning to Language Agents
  8. MotionLM: Multi-Agent Motion Forecasting as Language Modeling
  9. Language Models as Agent Models
  10. When Large Language Model Agents Meet 6G Networks: Perception, Grounding, and Alignment
  11. Generation of Asset Administration Shell With Large Language Model Agents: Toward Semantic Interoperability in Digital Twins in the Context of Industry 4.0
  12. Unleashing the Emergent Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration
  13. Exploring Large Language Model based Intelligent Agents: Definitions, Methods, and Prospects
  14. Use of artificial intelligence large language models as a clinical tool in rehabilitation medicine: a comparative test case
  15. Use of large language models as artificial intelligence tools in academic research and publishing among global clinical researchers
  16. Towards autonomous system: flexible modular production system enhanced with large language model agents
  17. Chatlaw: A Multi-Agent Collaborative Legal Assistant with Knowledge Graph Enhanced Mixture-of-Experts Large Language Model
  18. Receive, Reason, and React: Drive as You Say, With Large Language Models in Autonomous Vehicles
  19. ChatScene: Knowledge-Enabled Safety-Critical Scenario Generation for Autonomous Vehicles
  20. Integrating Belief-Desire-Intention agents with large language models for reliable human-robot interaction and explainable Artificial Intelligence
  21. ProsocialDialog: A Prosocial Backbone for Conversational Agents
  22. Generative agent-based modeling: an introduction and tutorial
  23. Large language model based autonomous agents: workflow, infrastructure, and challenges
  24. Emergent autonomous scientific research capabilities of large language models
  25. MM-REACT: Prompting ChatGPT for Multimodal Reasoning and Action
  26. SwiftSage: A Generative Agent with Fast and Slow Thinking for Complex Interactive Tasks
  27. RTLFixer: Automatically Fixing RTL Syntax Errors with Large Language Model
  28. Large language model based intelligent agents in engineering and science applications