2308.08155.pdf

N/A

AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation Qingyun Wu† , Gagan Bansal∗ , Jieyu Zhang± , Yiran Wu† , Beibin Li∗ Erkang Zhu∗ , Li Jiang∗ , Xiaoyun Zhang∗ , Shaokun Zhang† , Jiale Liu∓ arXiv:2308.08155v2 [cs.AI] 3 Oct 2023 Ahmed Awadallah∗ , Ryen W. White∗ , Doug Burger∗ , Chi Wang∗1…

related reading

• [2304.03442] Generative Agents: Interactive Simulacra of Human Behaviorarxiv.org
• LLM Powered Autonomous Agents | Lil'Loglilianweng.github.io
• [2304.03442] Generative Agents: Interactive Simulacra of Human Behaviorarxiv.org
• [2508.19227] Generative Interfaces for Language Modelsarxiv.org
• Self-Adapting Language Modelsarxiv.org
• MetaGPT: Meta Programming for a Multi-Agent Collaborative Frameworkarxiv.org
• Language Models can Solve Computer Tasksarxiv.org
• 2401.10020.pdfarxiv.org
• pdfopenreview.net
• Agent Evaluation: A Detailed Guidecameronrwolfe.substack.com
• [2603.08640] PostTrainBench: Can LLM Agents Automate LLM Post-Training?arxiv.org
• [2410.00079] Interactive Speculative Planning: Enhance Agent Efficiency through Co-design of System and User Interfacearxiv.org