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Reasoning Capacity in Multi-Agent Systems: Limitations, Challenges and
  Human-Centered Solutions

Reasoning Capacity in Multi-Agent Systems: Limitations, Challenges and Human-Centered Solutions

2 February 2024
Pouya Pezeshkpour
Eser Kandogan
Nikita Bhutani
Sajjadur Rahman
Tom Mitchell
Estevam R. Hruschka
    LLMAG
    LRM
ArXivPDFHTML

Papers citing "Reasoning Capacity in Multi-Agent Systems: Limitations, Challenges and Human-Centered Solutions"

9 / 9 papers shown
Title
Orchestrating Agents and Data for Enterprise: A Blueprint Architecture for Compound AI
Orchestrating Agents and Data for Enterprise: A Blueprint Architecture for Compound AI
Eser Kandogan
Nikita Bhutani
Dan Zhang
Rafael Li Chen
Sairam Gurajada
Estevam R. Hruschka
AIFin
34
0
0
10 Apr 2025
SMARTCAL: An Approach to Self-Aware Tool-Use Evaluation and Calibration
SMARTCAL: An Approach to Self-Aware Tool-Use Evaluation and Calibration
Yuanhao Shen
Xiaodan Zhu
L. Chen
79
0
0
11 Dec 2024
Enhancing Multi-Step Reasoning Abilities of Language Models through Direct Q-Function Optimization
Enhancing Multi-Step Reasoning Abilities of Language Models through Direct Q-Function Optimization
Guanlin Liu
Kaixuan Ji
Ning Dai
Zheng Wu
Chen Dun
Q. Gu
Lin Yan
Quanquan Gu
Lin Yan
OffRL
LRM
44
8
0
11 Oct 2024
Cut the Crap: An Economical Communication Pipeline for LLM-based
  Multi-Agent Systems
Cut the Crap: An Economical Communication Pipeline for LLM-based Multi-Agent Systems
Guibin Zhang
Yanwei Yue
Zhixun Li
Sukwon Yun
Guancheng Wan
Kun Wang
Dawei Cheng
Jeffrey Xu Yu
Tianlong Chen
32
3
0
03 Oct 2024
On the Design and Analysis of LLM-Based Algorithms
On the Design and Analysis of LLM-Based Algorithms
Yanxi Chen
Yaliang Li
Bolin Ding
Jingren Zhou
36
4
0
20 Jul 2024
A Zero-Shot Language Agent for Computer Control with Structured
  Reflection
A Zero-Shot Language Agent for Computer Control with Structured Reflection
Tao Li
Gang Li
Zhiwei Deng
Bryan Wang
Yang Li
LM&Ro
LLMAG
40
23
0
12 Oct 2023
Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors,
  and Lessons Learned
Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned
Deep Ganguli
Liane Lovitt
John Kernion
Amanda Askell
Yuntao Bai
...
Nicholas Joseph
Sam McCandlish
C. Olah
Jared Kaplan
Jack Clark
216
327
0
23 Aug 2022
Training language models to follow instructions with human feedback
Training language models to follow instructions with human feedback
Long Ouyang
Jeff Wu
Xu Jiang
Diogo Almeida
Carroll L. Wainwright
...
Amanda Askell
Peter Welinder
Paul Christiano
Jan Leike
Ryan J. Lowe
OSLM
ALM
301
11,730
0
04 Mar 2022
Measuring and Improving Consistency in Pretrained Language Models
Measuring and Improving Consistency in Pretrained Language Models
Yanai Elazar
Nora Kassner
Shauli Ravfogel
Abhilasha Ravichander
Eduard H. Hovy
Hinrich Schütze
Yoav Goldberg
HILM
255
273
0
01 Feb 2021
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