Mixture-of-Agents Enhances Large Language Model Capabilities

Mixture-of-Agents Enhances Large Language Model Capabilities

International Conference on Learning Representations (ICLR), 2024

7 June 2024

Ben Athiwaratkun

Ce Zhang

James Zou

ArXiv (abs)PDF HTML HuggingFace (60 upvotes)

Papers citing "Mixture-of-Agents Enhances Large Language Model Capabilities"

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Cross-Refine: Improving Natural Language Explanation Generation by Learning in TandemInternational Conference on Computational Linguistics (COLING), 2024 Qianli Wang Tatiana Anikina Nils Feldhus Simon Ostermann Sebastian Möller Vera Schmitt LRM 192 8 0 11 Sep 2024
AnyMatch -- Efficient Zero-Shot Entity Matching with a Small Language Model Zeyu Zhang Paul Groth Iacer Calixto Sebastian Schelter 204 7 0 06 Sep 2024
Acceptable Use Policies for Foundation ModelsAAAI/ACM Conference on AI, Ethics, and Society (AIES), 2024 Kevin Klyman 219 22 0 29 Aug 2024
Patched MOA: optimizing inference for diverse software development tasks Asankhaya Sharma 67 1 0 26 Jul 2024
Networks of Networks: Complexity Class Principles Applied to Compound AI Systems Design Jared Quincy Davis Boris Hanin Lingjiao Chen Peter Bailis Ion Stoica Matei A. Zaharia 125 10 0 23 Jul 2024
CRAB: Cross-environment Agent Benchmark for Multimodal Language Model Agents Tianqi Xu Linyao Chen Dai-Jie Wu Yanjun Chen Zecheng Zhang ... Zhaoxuan Jin Ge Li Juil Sock Bernard Ghanem Guohao Li 558 28 0 01 Jul 2024
WARP: On the Benefits of Weight Averaged Rewarded Policies Alexandre Ramé Johan Ferret Nino Vieillard Robert Dadashi Léonard Hussenot Pierre-Louis Cedoz Pier Giuseppe Sessa Sertan Girgin Arthur Douillard Olivier Bachem 259 31 0 24 Jun 2024
Meta Reasoning for Large Language Models Peizhong Gao Ao Xie Shaoguang Mao Wenshan Wu Yan Xia Haipeng Mi Furu Wei ReLM LLMAG LRM 201 19 0 17 Jun 2024
Length-Controlled AlpacaEval: A Simple Way to Debias Automatic Evaluators Yann Dubois Balázs Galambosi Abigail Z. Jacobs Tatsunori Hashimoto ALM 386 573 0 06 Apr 2024