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2411.03284
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SMoA: Improving Multi-agent Large Language Models with Sparse Mixture-of-Agents
5 November 2024
Dawei Li
Zhen Tan
Peijia Qian
Yifan Li
Kumar Satvik Chaudhary
Lijie Hu
Jiayi Shen
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Papers citing
"SMoA: Improving Multi-agent Large Language Models with Sparse Mixture-of-Agents"
7 / 7 papers shown
Title
Towards Multi-Agent Reasoning Systems for Collaborative Expertise Delegation: An Exploratory Design Study
Baixuan Xu
Chunyang Li
Weiqi Wang
Wei Fan
Tianshi Zheng
Haizhou Shi
Tao Fan
Yangqiu Song
Qiang Yang
31
0
0
12 May 2025
Learning from Peers in Reasoning Models
Tongxu Luo
Wenyu Du
Jiaxi Bi
Stephen Chung
Zhengyang Tang
Hao Yang
M. Zhang
Benyou Wang
LRM
41
0
0
12 May 2025
Beyond Accuracy: The Role of Calibration in Self-Improving Large Language Models
Liangjie Huang
Dawei Li
Huan Liu
Lu Cheng
LRM
36
0
0
03 Apr 2025
Do We Truly Need So Many Samples? Multi-LLM Repeated Sampling Efficiently Scales Test-Time Compute
Jianhao Chen
Zishuo Xun
Bocheng Zhou
Han Qi
Qiaosheng Zhang
...
Wei Hu
Yuzhong Qu
W. Ouyang
Wanli Ouyang
Shuyue Hu
74
1
0
01 Apr 2025
MathAgent: Leveraging a Mixture-of-Math-Agent Framework for Real-World Multimodal Mathematical Error Detection
Yibo Yan
Shen Wang
Jiahao Huo
Philip S. Yu
Xuming Hu
Qingsong Wen
173
1
0
23 Mar 2025
Efficient Algorithms for Verifying Kruskal Rank in Sparse Linear Regression and Related Applications
Fengqin Zhou
62
0
0
06 Mar 2025
From Generation to Judgment: Opportunities and Challenges of LLM-as-a-judge
Dawei Li
Bohan Jiang
Liangjie Huang
Alimohammad Beigi
Chengshuai Zhao
...
Canyu Chen
Tianhao Wu
Kai Shu
Lu Cheng
Huan Liu
ELM
AILaw
126
70
0
25 Nov 2024
1