ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2505.22960
  4. Cited By
Revisiting Multi-Agent Debate as Test-Time Scaling: A Systematic Study of Conditional Effectiveness
v1v2 (latest)

Revisiting Multi-Agent Debate as Test-Time Scaling: A Systematic Study of Conditional Effectiveness

29 May 2025
Yongjin Yang
Euiin Yi
Jongwoo Ko
Kimin Lee
Zhijing Jin
Se-Young Yun
    LLMAG
ArXiv (abs)PDFHTML

Papers citing "Revisiting Multi-Agent Debate as Test-Time Scaling: A Systematic Study of Conditional Effectiveness"

3 / 3 papers shown
Title
Why Do Multi-Agent LLM Systems Fail?
Why Do Multi-Agent LLM Systems Fail?
Mert Cemri
Melissa Z. Pan
Shuyi Yang
Lakshya A Agrawal
Bhavya Chopra
...
Dan Klein
Kannan Ramchandran
Matei A. Zaharia
Joseph E. Gonzalez
Ion Stoica
LLMAG
Presented at ResearchTrend Connect | LLMAG on 23 Apr 2025
232
39
0
17 Mar 2025
T1: Advancing Language Model Reasoning through Reinforcement Learning and Inference Scaling
T1: Advancing Language Model Reasoning through Reinforcement Learning and Inference Scaling
Zhenyu Hou
Xin Lv
Rui Lu
Jing Zhang
Yongqian Li
Zijun Yao
Juanzi Li
J. Tang
Yuxiao Dong
OffRLLRMReLM
148
33
0
20 Jan 2025
Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Bradley Brown
Jordan Juravsky
Ryan Ehrlich
Ronald Clark
Quoc V. Le
Christopher Ré
Azalia Mirhoseini
ALMLRM
279
331
0
03 Jan 2025
1