ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2011.09708
  4. Cited By
Are Pre-trained Language Models Knowledgeable to Ground Open Domain
  Dialogues?

Are Pre-trained Language Models Knowledgeable to Ground Open Domain Dialogues?

19 November 2020
Yufan Zhao
Wei Wu
Can Xu
ArXiv (abs)PDFHTML

Papers citing "Are Pre-trained Language Models Knowledgeable to Ground Open Domain Dialogues?"

5 / 5 papers shown
Contrastive Learning Reduces Hallucination in Conversations
Contrastive Learning Reduces Hallucination in ConversationsAAAI Conference on Artificial Intelligence (AAAI), 2022
Weiwei Sun
Zhengliang Shi
Shen Gao
Sudipta Singha Roy
Maarten de Rijke
Zhaochun Ren
267
87
0
20 Dec 2022
Query Enhanced Knowledge-Intensive Conversation via Unsupervised Joint
  Modeling
Query Enhanced Knowledge-Intensive Conversation via Unsupervised Joint ModelingAnnual Meeting of the Association for Computational Linguistics (ACL), 2022
Mingzhu Cai
Siqi Bao
Xin Tian
H. He
Fan Wang
Hua Wu
299
5
0
19 Dec 2022
CDialog: A Multi-turn Covid-19 Conversation Dataset for Entity-Aware
  Dialog Generation
CDialog: A Multi-turn Covid-19 Conversation Dataset for Entity-Aware Dialog GenerationConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Deeksha Varshney
Aizan Zafar
Niranshu Kumar Behra
Asif Ekbal
316
10
0
16 Nov 2022
Commonsense and Named Entity Aware Knowledge Grounded Dialogue
  Generation
Commonsense and Named Entity Aware Knowledge Grounded Dialogue GenerationNorth American Chapter of the Association for Computational Linguistics (NAACL), 2022
Deeksha Varshney
Akshara Prabhakar
Asif Ekbal
242
20
0
27 May 2022
Retrieval Augmentation Reduces Hallucination in Conversation
Retrieval Augmentation Reduces Hallucination in ConversationConference on Empirical Methods in Natural Language Processing (EMNLP), 2021
Kurt Shuster
Spencer Poff
Moya Chen
Douwe Kiela
Jason Weston
HILM
386
989
0
15 Apr 2021
1
Page 1 of 1