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. 2305.12733
  4. Cited By
MADNet: Maximizing Addressee Deduction Expectation for Multi-Party
  Conversation Generation

MADNet: Maximizing Addressee Deduction Expectation for Multi-Party Conversation Generation

22 May 2023
Jia-Chen Gu
Chao-Hong Tan
Caiyuan Chu
Zhen-Hua Ling
Chongyang Tao
Quan Liu
Cong Liu
ArXivPDFHTML

Papers citing "MADNet: Maximizing Addressee Deduction Expectation for Multi-Party Conversation Generation"

3 / 3 papers shown
Title
Advancing Multi-Party Dialogue Systems with Speaker-ware Contrastive Learning
Advancing Multi-Party Dialogue Systems with Speaker-ware Contrastive Learning
Zhongtian Hu
Qi He
Ronghan Li
Meng Zhao
Lifang Wang
22
0
0
20 Jan 2025
An Equal-Size Hard EM Algorithm for Diverse Dialogue Generation
An Equal-Size Hard EM Algorithm for Diverse Dialogue Generation
Yuqiao Wen
Yongchang Hao
Yanshuai Cao
Lili Mou
41
10
0
29 Sep 2022
Heterogeneous Graph Transformer
Heterogeneous Graph Transformer
Ziniu Hu
Yuxiao Dong
Kuansan Wang
Yizhou Sun
167
1,157
0
03 Mar 2020
1