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Mixture-of-Agents Enhances Large Language Model Capabilities

Mixture-of-Agents Enhances Large Language Model Capabilities

7 June 2024
Junlin Wang
Jue Wang
Ben Athiwaratkun
Ce Zhang
James Zou
    LLMAG
    AIFin
ArXivPDFHTML

Papers citing "Mixture-of-Agents Enhances Large Language Model Capabilities"

50 / 72 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
H. Shi
Tao Fan
Yangqiu Song
Qiang Yang
14
0
0
12 May 2025
Internet of Agents: Fundamentals, Applications, and Challenges
Internet of Agents: Fundamentals, Applications, and Challenges
Yuntao Wang
Shaolong Guo
Yanghe Pan
Zhou Su
Fahao Chen
Tom H. Luan
Peng Li
Jiawen Kang
Dusit Niyato
LLMAG
LM&Ro
AI4CE
30
0
0
12 May 2025
Improving Model Alignment Through Collective Intelligence of Open-Source LLMS
Improving Model Alignment Through Collective Intelligence of Open-Source LLMS
Junlin Wang
Roy Xie
Shang Zhu
Jue Wang
Ben Athiwaratkun
Bhuwan Dhingra
S. Song
Ce Zhang
James Y. Zou
ALM
24
0
0
05 May 2025
UserCentrix: An Agentic Memory-augmented AI Framework for Smart Spaces
UserCentrix: An Agentic Memory-augmented AI Framework for Smart Spaces
Alaa Saleh
Sasu Tarkoma
Praveen Kumar Donta
Naser Hossein Motlagh
Schahram Dustdar
Susanna Pirttikangas
Lauri Lovén
39
0
0
01 May 2025
LLMpatronous: Harnessing the Power of LLMs For Vulnerability Detection
LLMpatronous: Harnessing the Power of LLMs For Vulnerability Detection
Rajesh Yarra
29
0
0
25 Apr 2025
Think Deep, Think Fast: Investigating Efficiency of Verifier-free Inference-time-scaling Methods
Think Deep, Think Fast: Investigating Efficiency of Verifier-free Inference-time-scaling Methods
Junlin Wang
Shang Zhu
Jon Saad-Falcon
Ben Athiwaratkun
Qingyang Wu
Jue Wang
S. Song
Ce Zhang
Bhuwan Dhingra
James Y. Zou
LRM
38
1
0
18 Apr 2025
LITERA: An LLM Based Approach to Latin-to-English Translation
LITERA: An LLM Based Approach to Latin-to-English Translation
Paul Rosu
14
0
0
14 Apr 2025
Evaluation Under Imperfect Benchmarks and Ratings: A Case Study in Text Simplification
Evaluation Under Imperfect Benchmarks and Ratings: A Case Study in Text Simplification
Joseph Liu
Yoonsoo Nam
Xinyue Cui
Swabha Swayamdipta
49
0
0
13 Apr 2025
FuseRL: Dense Preference Optimization for Heterogeneous Model Fusion
FuseRL: Dense Preference Optimization for Heterogeneous Model Fusion
Longguang Zhong
Fanqi Wan
Ziyi Yang
Guosheng Liang
Tianyuan Shi
Xiaojun Quan
MoMe
53
0
0
09 Apr 2025
Hogwild! Inference: Parallel LLM Generation via Concurrent Attention
Hogwild! Inference: Parallel LLM Generation via Concurrent Attention
Gleb Rodionov
Roman Garipov
Alina Shutova
George Yakushev
Vage Egiazarian
Anton Sinitsin
Denis Kuznedelev
Dan Alistarh
LRM
27
1
0
08 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
39
1
0
07 Apr 2025
YaleNLP @ PerAnsSumm 2025: Multi-Perspective Integration via Mixture-of-Agents for Enhanced Healthcare QA Summarization
YaleNLP @ PerAnsSumm 2025: Multi-Perspective Integration via Mixture-of-Agents for Enhanced Healthcare QA Summarization
Dongsuk Jang
Alan Li
Arman Cohan
27
0
0
04 Apr 2025
Scaling Test-Time Inference with Policy-Optimized, Dynamic Retrieval-Augmented Generation via KV Caching and Decoding
Scaling Test-Time Inference with Policy-Optimized, Dynamic Retrieval-Augmented Generation via KV Caching and Decoding
Sakhinana Sagar Srinivas
Venkataramana Runkana
OffRL
40
1
0
02 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
31
0
0
29 Mar 2025
MemInsight: Autonomous Memory Augmentation for LLM Agents
MemInsight: Autonomous Memory Augmentation for LLM Agents
Rana Salama
Jason (Jinglun) Cai
Michelle Yuan
Anna Currey
Monica Sunkara
Yi Zhang
Yassine Benajiba
LLMAG
RALM
74
1
0
27 Mar 2025
Reasoning Beyond Limits: Advances and Open Problems for LLMs
Reasoning Beyond Limits: Advances and Open Problems for LLMs
M. Ferrag
Norbert Tihanyi
Merouane Debbah
ELM
OffRL
LRM
AI4CE
59
2
0
26 Mar 2025
InCo-DPO: Balancing Distribution Shift and Data Quality for Enhanced Preference Optimization
InCo-DPO: Balancing Distribution Shift and Data Quality for Enhanced Preference Optimization
Yunan Wang
Jijie Li
Bo Zhang
Liangdong Wang
Guang Liu
58
0
0
20 Mar 2025
Ensemble Learning for Large Language Models in Text and Code Generation: A Survey
Ensemble Learning for Large Language Models in Text and Code Generation: A Survey
Mari Ashiga
Wei Jie
Fan Wu
Vardan K. Voskanyan
Fateme Dinmohammadi
P. Brookes
Jingzhi Gong
Zheng Wang
38
0
0
13 Mar 2025
LLMs Working in Harmony: A Survey on the Technological Aspects of Building Effective LLM-Based Multi Agent Systems
LLMs Working in Harmony: A Survey on the Technological Aspects of Building Effective LLM-Based Multi Agent Systems
R. M. Aratchige
W. M. K. S. Ilmini
LLMAG
38
0
0
13 Mar 2025
The Society of HiveMind: Multi-Agent Optimization of Foundation Model Swarms to Unlock the Potential of Collective Intelligence
Noah Mamie
Susie Xi Rao
LLMAG
AI4CE
51
0
0
07 Mar 2025
This Is Your Doge, If It Please You: Exploring Deception and Robustness in Mixture of LLMs
Lorenz Wolf
Sangwoong Yoon
Ilija Bogunovic
39
0
0
07 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
48
1
0
06 Mar 2025
Efficient Algorithms for Verifying Kruskal Rank in Sparse Linear Regression and Related Applications
Fengqin Zhou
41
0
0
06 Mar 2025
Union of Experts: Adapting Hierarchical Routing to Equivalently Decomposed Transformer
Yujiao Yang
Jing Lian
Linhui Li
MoE
70
0
0
04 Mar 2025
CrowdSelect: Synthetic Instruction Data Selection with Multi-LLM Wisdom
Yisen Li
Lingfeng Yang
Wenxuan Shen
Pan Zhou
Yao Wan
Weiwei Lin
D. Z. Chen
67
0
0
03 Mar 2025
Same Question, Different Words: A Latent Adversarial Framework for Prompt Robustness
Tingchen Fu
Fazl Barez
AAML
53
0
0
03 Mar 2025
Multi2: Multi-Agent Test-Time Scalable Framework for Multi-Document Processing
Multi2: Multi-Agent Test-Time Scalable Framework for Multi-Document Processing
Juntai Cao
Xiang Zhang
Raymond Li
Chuyuan Li
Shafiq R. Joty
Giuseppe Carenini
54
1
0
27 Feb 2025
Multi-LLM Collaborative Search for Complex Problem Solving
Multi-LLM Collaborative Search for Complex Problem Solving
Sen Yang
Yafu Li
Wai Lam
Yu Cheng
LLMAG
LRM
64
1
0
26 Feb 2025
Weaker LLMs' Opinions Also Matter: Mixture of Opinions Enhances LLM's Mathematical Reasoning
Weaker LLMs' Opinions Also Matter: Mixture of Opinions Enhances LLM's Mathematical Reasoning
Yanan Chen
Ali Pesaranghader
Tanmana Sadhu
LRM
52
0
0
26 Feb 2025
Aligning Compound AI Systems via System-level DPO
Aligning Compound AI Systems via System-level DPO
Xiangwen Wang
Yibo Zhang
Zhoujie Ding
Katherine Tsai
Sanmi Koyejo
30
0
0
24 Feb 2025
Minions: Cost-efficient Collaboration Between On-device and Cloud Language Models
Minions: Cost-efficient Collaboration Between On-device and Cloud Language Models
A. Narayan
D. Biderman
Sabri Eyuboglu
Avner May
Scott W. Linderman
James Zou
Christopher Ré
44
0
0
21 Feb 2025
Think Together and Work Better: Combining Humans' and LLMs' Think-Aloud Outcomes for Effective Text Evaluation
Think Together and Work Better: Combining Humans' and LLMs' Think-Aloud Outcomes for Effective Text Evaluation
SeongYeub Chu
JongWoo Kim
MunYong Yi
45
1
0
21 Feb 2025
Optimizing Model Selection for Compound AI Systems
Optimizing Model Selection for Compound AI Systems
Lingjiao Chen
Jared Quincy Davis
Boris Hanin
Peter Bailis
Matei A. Zaharia
James Y. Zou
Ion Stoica
42
0
0
20 Feb 2025
One-shot Federated Learning Methods: A Practical Guide
One-shot Federated Learning Methods: A Practical Guide
Xiang Liu
Zhenheng Tang
Xia Li
Yijun Song
Sijie Ji
Zemin Liu
Bo Han
Linshan Jiang
Jialin Li
FedML
74
1
0
13 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
67
2
0
02 Feb 2025
Tailored Truths: Optimizing LLM Persuasion with Personalization and Fabricated Statistics
Tailored Truths: Optimizing LLM Persuasion with Personalization and Fabricated Statistics
Jasper Timm
Chetan Talele
Jacob Haimes
33
0
0
28 Jan 2025
Style Outweighs Substance: Failure Modes of LLM Judges in Alignment Benchmarking
Style Outweighs Substance: Failure Modes of LLM Judges in Alignment Benchmarking
Benjamin Feuer
Micah Goldblum
Teresa Datta
Sanjana Nambiar
Raz Besaleli
Samuel Dooley
Max Cembalest
John P. Dickerson
ALM
28
6
0
28 Jan 2025
From Drafts to Answers: Unlocking LLM Potential via Aggregation Fine-Tuning
From Drafts to Answers: Unlocking LLM Potential via Aggregation Fine-Tuning
Yafu Li
Zhilin Wang
Tingchen Fu
Ganqu Cui
Sen Yang
Yu Cheng
40
1
0
21 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
ALM
LRM
76
207
0
03 Jan 2025
Simple and Provable Scaling Laws for the Test-Time Compute of Large Language Models
Simple and Provable Scaling Laws for the Test-Time Compute of Large Language Models
Yanxi Chen
Xuchen Pan
Yaliang Li
Bolin Ding
Jingren Zhou
LRM
65
9
0
29 Nov 2024
Enhancing Clinical Trial Patient Matching through Knowledge Augmentation
  with Multi-Agents
Enhancing Clinical Trial Patient Matching through Knowledge Augmentation with Multi-Agents
Hanwen Shi
Jin Zhang
Kunpeng Zhang
69
0
0
22 Nov 2024
SuffixDecoding: A Model-Free Approach to Speeding Up Large Language
  Model Inference
SuffixDecoding: A Model-Free Approach to Speeding Up Large Language Model Inference
Gabriele Oliaro
Zhihao Jia
Daniel F Campos
Aurick Qiao
LRM
32
2
0
07 Nov 2024
SMoA: Improving Multi-agent Large Language Models with Sparse
  Mixture-of-Agents
SMoA: Improving Multi-agent Large Language Models with Sparse Mixture-of-Agents
Dawei Li
Zhen Tan
Peijia Qian
Yifan Li
Kumar Satvik Chaudhary
Lijie Hu
Jiayi Shen
40
6
0
05 Nov 2024
Aegis:An Advanced LLM-Based Multi-Agent for Intelligent Functional
  Safety Engineering
Aegis:An Advanced LLM-Based Multi-Agent for Intelligent Functional Safety Engineering
Lu Shi
Bin Qi
Jiarui Luo
Yang Zhang
Zhanzhao Liang
Zhaowei Gao
Wenke Deng
Lin Sun
13
0
0
16 Oct 2024
WILT: A Multi-Turn, Memorization-Robust Inductive Logic Benchmark for
  LLMs
WILT: A Multi-Turn, Memorization-Robust Inductive Logic Benchmark for LLMs
Eryk Banatt
Jonathan Cheng
Skanda Vaidyanath
Tiffany Hwu
LRM
22
1
0
14 Oct 2024
Optima: Optimizing Effectiveness and Efficiency for LLM-Based
  Multi-Agent System
Optima: Optimizing Effectiveness and Efficiency for LLM-Based Multi-Agent System
Weize Chen
Jiarui Yuan
Chen Qian
Cheng Yang
Zhiyuan Liu
Maosong Sun
LLMAG
26
4
0
10 Oct 2024
APOLLO: A GPT-based tool to detect phishing emails and generate
  explanations that warn users
APOLLO: A GPT-based tool to detect phishing emails and generate explanations that warn users
Giuseppe Desolda
Francesco Greco
Luca Viganò
19
4
0
10 Oct 2024
Steering Large Language Models between Code Execution and Textual Reasoning
Steering Large Language Models between Code Execution and Textual Reasoning
Yongchao Chen
Harsh Jhamtani
Srinagesh Sharma
Chuchu Fan
Chi Wang
LLMAG
LRM
23
6
0
04 Oct 2024
Zodiac: A Cardiologist-Level LLM Framework for Multi-Agent Diagnostics
Zodiac: A Cardiologist-Level LLM Framework for Multi-Agent Diagnostics
Yuan Zhou
Peng Zhang
Mengya Song
Alice Zheng
Yiwen Lu
Zhiheng Liu
Yong Chen
Zhaohan Xi
LM&MA
20
1
0
02 Oct 2024
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