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. 2402.18272
  4. Cited By
Rethinking the Bounds of LLM Reasoning: Are Multi-Agent Discussions the
  Key?

Rethinking the Bounds of LLM Reasoning: Are Multi-Agent Discussions the Key?

28 February 2024
Qineng Wang
Zihao Wang
Ying Su
Hanghang Tong
Yangqiu Song
    LLMAG
    LRM
ArXivPDFHTML

Papers citing "Rethinking the Bounds of LLM Reasoning: Are Multi-Agent Discussions the Key?"

25 / 25 papers shown
Title
Towards Multi-Agent Reasoning Systems for Collaborative Expertise Delegation: An Exploratory Design Study
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
Enigme: Generative Text Puzzles for Evaluating Reasoning in Language Models
Enigme: Generative Text Puzzles for Evaluating Reasoning in Language Models
John Hawkins
ReLM
LRM
57
0
0
08 May 2025
VTS-LLM: Domain-Adaptive LLM Agent for Enhancing Awareness in Vessel Traffic Services through Natural Language
VTS-LLM: Domain-Adaptive LLM Agent for Enhancing Awareness in Vessel Traffic Services through Natural Language
Sijin Sun
Liangbin Zhao
Ming Deng
Xiuju Fu
19
0
0
02 May 2025
A Survey on Large Language Model based Human-Agent Systems
A Survey on Large Language Model based Human-Agent Systems
Henry Peng Zou
Wei-Chieh Huang
Yaozu Wu
Yankai Chen
Chunyu Miao
...
Heng Chang
Yuwei Cao
Dongyuan Li
Renhe Jiang
Philip S. Yu
LLMAG
LM&Ro
LM&MA
79
0
0
01 May 2025
RAGEN: Understanding Self-Evolution in LLM Agents via Multi-Turn Reinforcement Learning
RAGEN: Understanding Self-Evolution in LLM Agents via Multi-Turn Reinforcement Learning
Z. Wang
Kaidi Wang
Q. Wang
Pingyue Zhang
Linjie Li
...
Jiajun Wu
L. Fei-Fei
Lijuan Wang
Yejin Choi
Manling Li
86
3
0
24 Apr 2025
Debate Only When Necessary: Adaptive Multiagent Collaboration for Efficient LLM Reasoning
Debate Only When Necessary: Adaptive Multiagent Collaboration for Efficient LLM Reasoning
Sugyeong Eo
Hyeonseok Moon
Evelyn Hayoon Zi
Chanjun Park
Heuiseok Lim
LLMAG
46
1
0
07 Apr 2025
Do We Truly Need So Many Samples? Multi-LLM Repeated Sampling Efficiently Scales Test-Time Compute
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
0
0
01 Apr 2025
Aurelia: Test-time Reasoning Distillation in Audio-Visual LLMs
Aurelia: Test-time Reasoning Distillation in Audio-Visual LLMs
Sanjoy Chowdhury
Hanan Gani
Nishit Anand
Sayan Nag
Ruohan Gao
Mohamed Elhoseiny
Salman Khan
Dinesh Manocha
LRM
54
0
0
29 Mar 2025
LLMs Can Generate a Better Answer by Aggregating Their Own Responses
LLMs Can Generate a Better Answer by Aggregating Their Own Responses
Zichong Li
Xinyu Feng
Yuheng Cai
Zixuan Zhang
Tianyi Liu
Chen Liang
Weizhu Chen
Haoyu Wang
T. Zhao
LRM
50
1
0
06 Mar 2025
Efficient Algorithms for Verifying Kruskal Rank in Sparse Linear Regression and Related Applications
Fengqin Zhou
58
0
0
06 Mar 2025
Voting or Consensus? Decision-Making in Multi-Agent Debate
Voting or Consensus? Decision-Making in Multi-Agent Debate
Lars Benedikt Kaesberg
Jonas Becker
Jan Philip Wahle
Terry Ruas
Bela Gipp
74
1
0
26 Feb 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
Rethinking Mixture-of-Agents: Is Mixing Different Large Language Models Beneficial?
Rethinking Mixture-of-Agents: Is Mixing Different Large Language Models Beneficial?
Wenzhe Li
Yong Lin
Mengzhou Xia
Chi Jin
MoE
91
2
0
02 Feb 2025
Large Language Models as an Indirect Reasoner: Contrapositive and Contradiction for Automated Reasoning
Large Language Models as an Indirect Reasoner: Contrapositive and Contradiction for Automated Reasoning
Yanfang Zhang
Yiliu Sun
Yibing Zhan
Dapeng Tao
Dacheng Tao
Chen Gong
LRM
AI4CE
LLMAG
94
2
0
28 Jan 2025
Reinforcement Learning Enhanced LLMs: A Survey
Reinforcement Learning Enhanced LLMs: A Survey
Shuhe Wang
Shengyu Zhang
Jingyang Zhang
Runyi Hu
Xiaoya Li
Tianwei Zhang
Jiwei Li
Fei Wu
G. Wang
Eduard H. Hovy
OffRL
134
7
0
05 Dec 2024
Automate Strategy Finding with LLM in Quant Investment
Automate Strategy Finding with LLM in Quant Investment
Zhizhuo Kou
Holam Yu
Jingshu Peng
Lei Chen
Lei Chen
AIFin
47
6
0
10 Sep 2024
From LLMs to LLM-based Agents for Software Engineering: A Survey of Current, Challenges and Future
From LLMs to LLM-based Agents for Software Engineering: A Survey of Current, Challenges and Future
Haolin Jin
Linghan Huang
Haipeng Cai
Jun Yan
Bo Li
Huaming Chen
78
24
0
05 Aug 2024
Counterfactual Debating with Preset Stances for Hallucination Elimination of LLMs
Counterfactual Debating with Preset Stances for Hallucination Elimination of LLMs
Yi Fang
Moxin Li
Wenjie Wang
Hui Lin
Fuli Feng
LRM
65
5
0
17 Jun 2024
Scaling Large Language Model-based Multi-Agent Collaboration
Scaling Large Language Model-based Multi-Agent Collaboration
Chen Qian
Zihao Xie
YiFei Wang
Wei Liu
Yufan Dang
...
Zhuoyun Du
Weize Chen
Cheng Yang
Zhiyuan Liu
Maosong Sun
AI4CE
LLMAG
LM&Ro
61
45
0
11 Jun 2024
Mixture-of-Agents Enhances Large Language Model Capabilities
Mixture-of-Agents Enhances Large Language Model Capabilities
Junlin Wang
Jue Wang
Ben Athiwaratkun
Ce Zhang
James Zou
LLMAG
AIFin
41
99
0
07 Jun 2024
MCRanker: Generating Diverse Criteria On-the-Fly to Improve Point-wise LLM Rankers
MCRanker: Generating Diverse Criteria On-the-Fly to Improve Point-wise LLM Rankers
Fang Guo
Wenyu Li
Honglei Zhuang
Yun Luo
Yafu Li
Qi Zhu
Le Yan
Yue Zhang
ALM
73
6
0
18 Apr 2024
Mind's Eye: Grounded Language Model Reasoning through Simulation
Mind's Eye: Grounded Language Model Reasoning through Simulation
Ruibo Liu
Jason W. Wei
S. Gu
Te-Yen Wu
Soroush Vosoughi
Claire Cui
Denny Zhou
Andrew M. Dai
ReLM
LRM
116
79
0
11 Oct 2022
Complexity-Based Prompting for Multi-Step Reasoning
Complexity-Based Prompting for Multi-Step Reasoning
Yao Fu
Hao-Chun Peng
Ashish Sabharwal
Peter Clark
Tushar Khot
ReLM
LRM
162
414
0
03 Oct 2022
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
1