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. 2204.08152
  4. Cited By
Back to the Future: Bidirectional Information Decoupling Network for
  Multi-turn Dialogue Modeling
v1v2v3v4 (latest)

Back to the Future: Bidirectional Information Decoupling Network for Multi-turn Dialogue Modeling

18 April 2022
Yiyang Li
Hai Zhao
Zhuosheng Zhang
ArXiv (abs)PDFHTML

Papers citing "Back to the Future: Bidirectional Information Decoupling Network for Multi-turn Dialogue Modeling"

3 / 3 papers shown
Title
EM Pre-training for Multi-party Dialogue Response Generation
EM Pre-training for Multi-party Dialogue Response Generation
Yiyang Li
Hai Zhao
68
11
0
21 May 2023
GIFT: Graph-Induced Fine-Tuning for Multi-Party Conversation
  Understanding
GIFT: Graph-Induced Fine-Tuning for Multi-Party Conversation Understanding
Jia-Chen Gu
Zhen-Hua Ling
Quan Liu
Cong Liu
Guoping Hu
81
10
0
16 May 2023
Question-Interlocutor Scope Realized Graph Modeling over Key Utterances
  for Dialogue Reading Comprehension
Question-Interlocutor Scope Realized Graph Modeling over Key Utterances for Dialogue Reading Comprehension
JiangNan Li
Mo Yu
Fandong Meng
Zheng Lin
Peng Fu
Weiping Wang
Jie Zhou
53
1
0
26 Oct 2022
1