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MAgICoRe: Multi-Agent, Iterative, Coarse-to-Fine Refinement for
  Reasoning

MAgICoRe: Multi-Agent, Iterative, Coarse-to-Fine Refinement for Reasoning

18 September 2024
Justin Chih-Yao Chen
Archiki Prasad
Swarnadeep Saha
Elias Stengel-Eskin
Joey Tianyi Zhou
    LRM
ArXivPDFHTML

Papers citing "MAgICoRe: Multi-Agent, Iterative, Coarse-to-Fine Refinement for Reasoning"

4 / 4 papers shown
Title
Efficient Algorithms for Verifying Kruskal Rank in Sparse Linear Regression and Related Applications
Fengqin Zhou
62
0
0
06 Mar 2025
The Hidden Strength of Disagreement: Unraveling the Consensus-Diversity Tradeoff in Adaptive Multi-Agent Systems
The Hidden Strength of Disagreement: Unraveling the Consensus-Diversity Tradeoff in Adaptive Multi-Agent Systems
Zengqing Wu
Takayuki Ito
42
0
0
23 Feb 2025
Learning to Generate Unit Tests for Automated Debugging
Learning to Generate Unit Tests for Automated Debugging
Archiki Prasad
Elias Stengel-Eskin
Justin Chih-Yao Chen
Zaid Khan
Joey Tianyi Zhou
ELM
88
1
0
03 Feb 2025
Make Every Penny Count: Difficulty-Adaptive Self-Consistency for Cost-Efficient Reasoning
Make Every Penny Count: Difficulty-Adaptive Self-Consistency for Cost-Efficient Reasoning
Xinglin Wang
Shaoxiong Feng
Yiwei Li
Peiwen Yuan
Y. Zhang
Boyuan Pan
Heda Wang
Yao Hu
Kan Li
LRM
40
17
0
24 Aug 2024
1