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One Agent To Rule Them All: Towards Multi-agent Conversational AI

One Agent To Rule Them All: Towards Multi-agent Conversational AI

15 March 2022
Christopher Clarke
Joseph Peper
Karthik Krishnamurthy
W. Talamonti
Kevin Leach
Walter S. Lasecki
Yiping Kang
Lingjia Tang
Jason Mars
    LLMAG
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Papers citing "One Agent To Rule Them All: Towards Multi-agent Conversational AI"

3 / 3 papers shown
Title
One Agent Too Many: User Perspectives on Approaches to Multi-agent
  Conversational AI
One Agent Too Many: User Perspectives on Approaches to Multi-agent Conversational AI
Christopher Clarke
Karthik Krishnamurthy
W. Talamonti
Yiping Kang
Lingjia Tang
Jason Mars
13
2
0
13 Jan 2024
Parameter-Efficient Low-Resource Dialogue State Tracking by Prompt
  Tuning
Parameter-Efficient Low-Resource Dialogue State Tracking by Prompt Tuning
Mingyu Derek Ma
Jiun-Yu Kao
Shuyang Gao
Arpit Gupta
Di Jin
Tagyoung Chung
Nanyun Peng
36
7
0
26 Jan 2023
Redwood: Using Collision Detection to Grow a Large-Scale Intent
  Classification Dataset
Redwood: Using Collision Detection to Grow a Large-Scale Intent Classification Dataset
Stefan Larson
Kevin Leach
32
9
0
12 Apr 2022
1