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Harnessing the Power of Multiple Minds: Lessons Learned from LLM Routing

Harnessing the Power of Multiple Minds: Lessons Learned from LLM Routing

1 May 2024
KV Aditya Srivatsa
Kaushal Kumar Maurya
Ekaterina Kochmar
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Papers citing "Harnessing the Power of Multiple Minds: Lessons Learned from LLM Routing"

10 / 10 papers shown
Title
Harnessing Multiple Large Language Models: A Survey on LLM Ensemble
Harnessing Multiple Large Language Models: A Survey on LLM Ensemble
Zhijun Chen
Jingzheng Li
Pengpeng Chen
Zhuoran Li
Kai Sun
Yuankai Luo
Qianren Mao
Dingqi Yang
Hailong Sun
Philip S. Yu
ELM
55
4
0
25 Feb 2025
Capability Instruction Tuning: A New Paradigm for Dynamic LLM Routing
Capability Instruction Tuning: A New Paradigm for Dynamic LLM Routing
Yi-Kai Zhang
De-Chuan Zhan
Han-Jia Ye
ALM
ELM
LRM
44
1
0
24 Feb 2025
SelectLLM: Query-Aware Efficient Selection Algorithm for Large Language Models
SelectLLM: Query-Aware Efficient Selection Algorithm for Large Language Models
Kaushal Kumar Maurya
KV Aditya Srivatsa
Ekaterina Kochmar
38
2
0
16 Aug 2024
Merge, Ensemble, and Cooperate! A Survey on Collaborative Strategies in
  the Era of Large Language Models
Merge, Ensemble, and Cooperate! A Survey on Collaborative Strategies in the Era of Large Language Models
Jinliang Lu
Ziliang Pang
Min Xiao
Yaochen Zhu
Rui Xia
Jiajun Zhang
MoMe
49
18
0
08 Jul 2024
Hybrid LLM: Cost-Efficient and Quality-Aware Query Routing
Hybrid LLM: Cost-Efficient and Quality-Aware Query Routing
Dujian Ding
Ankur Mallick
Chi Wang
Robert Sim
Subhabrata Mukherjee
Victor Rühle
L. Lakshmanan
Ahmed Hassan Awadallah
88
77
0
22 Apr 2024
LLM in a flash: Efficient Large Language Model Inference with Limited
  Memory
LLM in a flash: Efficient Large Language Model Inference with Limited Memory
Keivan Alizadeh-Vahid
Iman Mirzadeh
Dmitry Belenko
Karen Khatamifard
Minsik Cho
C. C. D. Mundo
Mohammad Rastegari
Mehrdad Farajtabar
77
112
0
12 Dec 2023
Predicting Question-Answering Performance of Large Language Models
  through Semantic Consistency
Predicting Question-Answering Performance of Large Language Models through Semantic Consistency
Ella Rabinovich
Samuel Ackerman
Orna Raz
E. Farchi
Ateret Anaby-Tavor
223
17
0
02 Nov 2023
Large Language Models are Zero-Shot Reasoners
Large Language Models are Zero-Shot Reasoners
Takeshi Kojima
S. Gu
Machel Reid
Yutaka Matsuo
Yusuke Iwasawa
ReLM
LRM
328
4,077
0
24 May 2022
Self-Consistency Improves Chain of Thought Reasoning in Language Models
Self-Consistency Improves Chain of Thought Reasoning in Language Models
Xuezhi Wang
Jason W. Wei
Dale Schuurmans
Quoc Le
Ed H. Chi
Sharan Narang
Aakanksha Chowdhery
Denny Zhou
ReLM
BDL
LRM
AI4CE
314
3,248
0
21 Mar 2022
Model Evaluation, Model Selection, and Algorithm Selection in Machine
  Learning
Model Evaluation, Model Selection, and Algorithm Selection in Machine Learning
S. Raschka
83
764
0
13 Nov 2018
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