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MMAU: A Holistic Benchmark of Agent Capabilities Across Diverse Domains

MMAU: A Holistic Benchmark of Agent Capabilities Across Diverse Domains

18 July 2024
Guoli Yin
Haoping Bai
Shuang Ma
Feng Nan
Yanchao Sun
Zhaoyang Xu
Shen Ma
Jiarui Lu
Xiang Kong
Aonan Zhang
Dian Ang Yap
Yizhe Zhang
Karsten Ahnert
Vik Kamath
Mathias Berglund
Dominic Walsh
Tobias Gindele
Juergen Wiest
Zhengfeng Lai
Xiaoming Wang
Jiulong Shan
Meng Cao
Ruoming Pang
Zirui Wang
    LLMAG
    ELM
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Papers citing "MMAU: A Holistic Benchmark of Agent Capabilities Across Diverse Domains"

2 / 2 papers shown
Title
SMoA: Improving Multi-agent Large Language Models with Sparse
  Mixture-of-Agents
SMoA: Improving Multi-agent Large Language Models with Sparse Mixture-of-Agents
Dawei Li
Zhen Tan
Peijia Qian
Yifan Li
Kumar Satvik Chaudhary
Lijie Hu
Jiayi Shen
52
7
0
05 Nov 2024
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Jason W. Wei
Xuezhi Wang
Dale Schuurmans
Maarten Bosma
Brian Ichter
F. Xia
Ed H. Chi
Quoc Le
Denny Zhou
LM&Ro
LRM
AI4CE
ReLM
367
8,495
0
28 Jan 2022
1