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MultiAgentEbook/index.html
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钱忱
MultiAgentEbook
25 июн 2024, 17:33
25 июн 2024, 17:33
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<!DOCTYPE html> <html lang="en"> <head> <meta charset="UTF-8" /> <meta name="viewport" content="width=device-width, initial-scale=1.0" /> <meta http-equiv="Cache-Control" content="no-store"> <meta http-equiv="Pragma" content="no-cache"> <meta http-equiv="Expires" content="0"> <link rel="icon" type="image/png" sizes="32x32" href="./images/logo.png" /> <title>Multi-Agent Research Outline</title> <link rel="preconnect" href="https://fonts.gstatic.com" /> <link href="https://fonts.googleapis.com/css2?family=Rubik:wght@400;500&display=swap" rel="stylesheet" /> <link rel="stylesheet" href="style.css" /> </head> <body> <header> <div class="container"> <nav class="navbar flex"> <div class="hamburger-container"> <img src="./images/icon-hamburger.svg" class="hamburger" /> </div> <div class="logo-container"> <img src="images/logo5.png" width="200" alt="Logo" /> </div> <ul class="nav-list flex"> <li class="nav-item"> <a href="https://github.com/OpenBMB/ChatDev/tree/main/MultiAgentEbook" class="nav-link btn clr1">GitHub</a> </li> </ul> </nav> <div class="intro flex"> <img src="./images/bg-pattern.svg" class="bg-pattern" alt="background-pattern" /> <div class="intro-col-left"> <h1> Comprehensive Outline of Large Language Model-based Multi-Agent Research </h1> <p> This project presents an interactive eBook that compiles <b>an extensive collection of research papers on large language model (LLM)-based multi-agent systems</b>. Organized into multiple chapters and <b>continuously updated</b> with significant research, it strives to provide a comprehensive outline for both researchers and enthusiasts in the field. We welcome <b>ongoing contributions</b> to expand and enhance this resource. </p> <p>Initiated by the <a href="https://github.com/OpenBMB/ChatDev"><b>ChatDev</b></a> Group at Tsinghua University.</p> <div class="btn-group"> <a href="#book" class="btn clr2">Start Reading</a> <a href="#more-works" class="btn clr3">Learn More</a> </div> </div> <div class="intro-col-right"> <img src="./images/cover.png" alt="Cover" /> </div> </div> </div> </header> <section class="feature"> <div class="container"> <img src="./images/bg-pattern.svg" class="bg-pattern" alt="background-pattern" /> <h2 class="section-heading text-center">Multi-Agent Directions</h2> <div class="content" align="center"> <p> Multi-agent systems are currently classified into two categories based on whether the agents are designed to achieve <b>specific task goals under external human instructions</b>: task-solving-oriented systems and social-simulation-oriented systems. </p> </div> <div class="tab-container"> <ul class="tab-nav flex"> <li class="active one"><b>Task Solving</b></li> <li class="two"><b>Social Simulation</b></li> </ul> <div class="tab-body tab-one flex active"> <div class="tab-col-left"> <img src="./images/chatdev_cover.png" alt="Comprehensive Resources" width="552" /> </div> <div class="tab-col-right"> <div class="content"> <p> Task solving-oriented multi-agent systems employ autonomous agents working collaboratively to tackle complex problems. Cutting-edge research in this direction revolves around three primary areas: facilitating communication among agents, designing effective organizational structures for interaction, and exploring how agents co-evolve over time. </p> <img src="./images/multi_agent_framework_ts.png" alt="Dataset cover" width="660" align="center" /> </div> </div> </div> <div class="tab-body tab-two flex"> <div class="tab-col-left"> <img src="./images/simulation.png" alt="Community Driven" width="746" /> </div> <div class="tab-col-right"> <div class="content"> <p> Social simulation-oriented multi-agent systems concentrate on modeling and analyzing the social behaviors of agents, offering valuable insights into human dynamics and enhances the ability to analyze or predict social phenomena. </p> <img src="./images/multi_agent_framework_ss.png" alt="Dataset cover" width="660" align="center" /> </div> </div> </div> </div> </div> </section> <section class="cards_row"> <div class="container" id="book"> <h5 class="section-heading text-center">Dive into Each Chapter</h5> <div class="content" align="center"> <p> This ebook contains research papers on the multi-agent layer and above, organized into multiple chapters based on proposed core technologies. Let's dive into each section. </p> </div> <div class="browser-cards"> <div class="card"> <img src="./images/communication_cover.png" alt="Systems cover" /> <h4>§1: Communication</h4> <p>facilitating agent communication</p> <a href="communication.html" class="btn clr2">Read</a> </div> <div class="card"> <img src="./images/organization_cover.png" alt="Benchmark cover" /> <h4>§2: Organization</h4> <p>organizing agents effectively</p> <a href="organization.html" class="btn clr2">Read</a> </div> <div class="card"> <img src="./images/evolution_cover.png" alt="Dataset cover" /> <h4>§3: Evolution</h4> <p>growing capabilities over time</p> <a href="evolution.html" class="btn clr2">Read</a> </div> <div class="card"> <img src="./images/simulation_cover.png" alt="Systems cover" /> <h4>§4: Simulation</h4> <p>simulating societal dynamics</p> <a href="simulation.html" class="btn clr2">Read</a> </div> </div> </div> </section> <section class="cards_row"> <h2 class="section-heading text-center">Learn More</h2> <div class="content" align="center"> <p> In addition to the aforementioned resources, we also feature recent research from our lab. If you find our work of interest, we invite you to read, extend, or collaborate. </p> </div> <div class="container" id="more-works"> <div class="browser-cards"> <div class="card"> <img src="./images/chatdev_cover.png" alt="Systems cover" /> <h4>ChatDev</h4> <p>Multi-Agent Collaboration for Software Development</p> <a href="https://arxiv.org/abs/2307.07924" class="btnsmall paper"><span class="icon"><img src="images/pdf_normal.png" alt="PDF Icon"></span>Paper</a> <a href="https://github.com/OpenBMB/ChatDev" class="btnsmall code"><span class="icon"><img src="images/github_normal.png" alt="GitHub Icon"></span>Code</a> </div> <div class="card"> <img src="./images/iagents_cover.png" alt="Systems cover" /> <h4>iAgents</h4> <p>Bijective Social Networks of Humans and Agents </p> <a href="https://arxiv.org/abs/2406.14928" class="btnsmall paper"><span class="icon"><img src="images/pdf_normal.png" alt="PDF Icon"></span>Paper</a> <a href="https://github.com/thinkwee/iAgents" class="btnsmall code"><span class="icon"><img src="images/github_normal.png" alt="GitHub Icon"></span>Code</a> </div> <div class="card"> <img src="./images/agentverse_cover.png" alt="Systems cover" /> <h4>AgentVerse</h4> <p>General-Purpose Multi-Agent Framework</p> <a href="https://arxiv.org/abs/2308.10848" class="btnsmall paper"><span class="icon"><img src="images/pdf_normal.png" alt="PDF Icon"></span>Paper</a> <a href="https://github.com/OpenBMB/AgentVerse" class="btnsmall code"><span class="icon"><img src="images/github_normal.png" alt="GitHub Icon"></span>Code</a> </div> <div class="card"> <img src="./images/colearning_cover.png" alt="Benchmark cover" /> <h4>Co-Learning</h4> <p>Cross-Task Experience Co-Leaning for Mutual Growth</p> <a href="https://arxiv.org/abs/2312.17025" class="btnsmall paper"><span class="icon"><img src="images/pdf_normal.png" alt="PDF Icon"></span>Paper</a> <a href="https://github.com/OpenBMB/ChatDev" class="btnsmall code"><span class="icon"><img src="images/github_normal.png" alt="GitHub Icon"></span>Code</a> </div> <div class="card"> <img src="./images/ei_cover.png" alt="Dataset cover" /> <h4>Co-Evolving</h4> <p>Continuous Experience Refinement over Time</p> <a href="https://arxiv.org/abs/2405.04219" class="btnsmall paper"><span class="icon"><img src="images/pdf_normal.png" alt="PDF Icon"></span>Paper</a> <a href="https://github.com/OpenBMB/ChatDev" class="btnsmall code"><span class="icon"><img src="images/github_normal.png" alt="GitHub Icon"></span>Code</a> </div> <div class="card"> <img src="./images/organization.png" alt="Dataset cover" /> <h4>MacNet</h4> <p>Exploring Collaborative Scaling Law</p> <a href="https://arxiv.org/abs/2406.07155" class="btnsmall paper"><span class="icon"><img src="images/pdf_normal.png" alt="PDF Icon"></span>Paper</a> <a href="https://github.com/OpenBMB/ChatDev" class="btnsmall code"><span class="icon"><img src="images/github_normal.png" alt="GitHub Icon"></span>Code</a> </div> <div class="card"> <img src="./images/ctc_cover.png" alt="Systems cover" /> <h4>CTC</h4> <p>Cross-Team Multi-Agent Orchestration</p> <a href="https://arxiv.org/abs/2406.08979" class="btnsmall paper"><span class="icon"><img src="images/pdf_normal.png" alt="PDF Icon"></span>Paper</a> <a href="https://github.com/OpenBMB/ChatDev" class="btnsmall code"><span class="icon"><img src="images/github_normal.png" alt="GitHub Icon"></span>Code</a> </div> <div class="card"> <img src="./images/chateval_cover.png" alt="Benchmark cover" /> <h4>ChatEval</h4> <p>Communication for Automated Evaluation</p> <a href="https://arxiv.org/abs/2308.07201" class="btnsmall paper"><span class="icon"><img src="images/pdf_normal.png" alt="PDF Icon"></span>Paper</a> <a href="https://github.com/thunlp/ChatEval" class="btnsmall code"><span class="icon"><img src="images/github_normal.png" alt="GitHub Icon"></span>Code</a> </div> <div class="card"> <img src="./images/autoform_cover.png" alt="Benchmark cover" /> <h4>AutoForm</h4> <p>Finding Effective Communication Protocals</p> <a href="https://arxiv.org/abs/2402.18439" class="btnsmall paper"><span class="icon"><img src="images/pdf_normal.png" alt="PDF Icon"></span>Paper</a> <a href="https://github.com/thunlp/AutoForm" class="btnsmall code"><span class="icon"><img src="images/github_normal.png" alt="GitHub Icon"></span>Code</a> </div> </div> </div> </section> <section class="faq"> <div class="container"> <h2 class="section-heading">Frequently Asked Questions</h2> <div class="faq-container"> <div class="question"> <button> <span>How is this ebook organized?</span> <svg xmlns="http://www.w3.org/2000/svg" width="18" height="12"> <path fill="none" stroke="#5267DF" stroke-width="3" d="M1 1l8 8 8-8" /> </svg> </button> <p> This ebook gathers leading research on LLM-powered multi-agent systems since 2023, categorized by key perspectives in the field. As this area rapidly evolves, updates will be ongoing. </p> </div> <div class="question"> <button> <span>How can I contribute?</span> <svg xmlns="http://www.w3.org/2000/svg" width="18" height="12"> <path fill="none" stroke="#5267DF" stroke-width="3" d="M1 1l8 8 8-8" /> </svg> </button> <p> We encourage open-source collaboration on this project. You can contribute by submitting a pull request with detailed metadata for notable papers in the <a href="https://github.com/OpenBMB/ChatDev/tree/main/MultiAgentEbook/papers.csv">table</a>. </p> </div> <div class="question"> <button> <span>How can I download this ebook?</span> <svg xmlns="http://www.w3.org/2000/svg" width="18" height="12"> <path fill="none" stroke="#5267DF" stroke-width="3" d="M1 1l8 8 8-8" /> </svg> </button> <p> You can download all ebook content in CSV format directly from <a href="https://github.com/OpenBMB/ChatDev/tree/main/MultiAgentEbook/papers.csv">here</a>. </p> </div> </div> </div> </section> <div class="attribution"> <p> Initiated by the <a href="https://github.com/OpenBMB/ChatDev" target="_blank">ChatDev</a> Group, Tsinghua University <br>Contact us via <a href="mailto:qianc62@gmail.com">qianc62@gmail.com</a> </p> </div> <script src="main.js"></script> </body> </html>