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Eliciting Knowledge from Large Pre-Trained Models for Unsupervised
  Knowledge-Grounded Conversation
v1v2 (latest)

Eliciting Knowledge from Large Pre-Trained Models for Unsupervised Knowledge-Grounded Conversation

Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022
3 November 2022
Yanyang Li
Jianqiao Zhao
Michael R. Lyu
Liwei Wang
ArXiv (abs)PDFHTML

Papers citing "Eliciting Knowledge from Large Pre-Trained Models for Unsupervised Knowledge-Grounded Conversation"

9 / 9 papers shown
Title
Improving Factuality for Dialogue Response Generation via Graph-Based Knowledge Augmentation
Improving Factuality for Dialogue Response Generation via Graph-Based Knowledge Augmentation
Xiangyan Chen
Yujian Gan
Yimeng Gu
Matthew Purver
HILM
159
1
0
14 Jun 2025
ECKGBench: Benchmarking Large Language Models in E-commerce Leveraging Knowledge Graph
ECKGBench: Benchmarking Large Language Models in E-commerce Leveraging Knowledge Graph
Langming Liu
Haibin Chen
Yuhao Wang
Yujin Yuan
Shilei Liu
Yuchi Xu
Xiangyu Zhao
Bo Zheng
RALM
195
1
0
20 Mar 2025
Internal and External Knowledge Interactive Refinement Framework for
  Knowledge-Intensive Question Answering
Internal and External Knowledge Interactive Refinement Framework for Knowledge-Intensive Question Answering
Haowei Du
Dongyan Zhao
KELM
136
0
0
23 Aug 2024
Can Language Models Act as Knowledge Bases at Scale?
Can Language Models Act as Knowledge Bases at Scale?
Qiyuan He
Yizhong Wang
Wenya Wang
KELMLRM
208
17
0
22 Feb 2024
BLESS: Benchmarking Large Language Models on Sentence Simplification
BLESS: Benchmarking Large Language Models on Sentence SimplificationConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Tannon Kew
Alison Chi
Laura Vásquez-Rodríguez
Sweta Agrawal
Dennis Aumiller
Fernando Alva-Manchego
Teven Le Scao
180
49
0
24 Oct 2023
Beyond Factuality: A Comprehensive Evaluation of Large Language Models
  as Knowledge Generators
Beyond Factuality: A Comprehensive Evaluation of Large Language Models as Knowledge GeneratorsConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Liang Chen
Yang Deng
Yatao Bian
Zeyu Qin
Bingzhe Wu
Tat-Seng Chua
Kam-Fai Wong
HILMELM
199
62
0
11 Oct 2023
KnowPrefix-Tuning: A Two-Stage Prefix-Tuning Framework for
  Knowledge-Grounded Dialogue Generation
KnowPrefix-Tuning: A Two-Stage Prefix-Tuning Framework for Knowledge-Grounded Dialogue Generation
Jiaqi Bai
Zhao Yan
Jian Yang
Xinnian Liang
Hongcheng Guo
Zhoujun Li
125
10
0
27 Jun 2023
Measuring the Knowledge Acquisition-Utilization Gap in Pretrained
  Language Models
Measuring the Knowledge Acquisition-Utilization Gap in Pretrained Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Amirhossein Kazemnejad
Mehdi Rezagholizadeh
Prasanna Parthasarathi
Sarath Chandar
ELM
125
2
0
24 May 2023
Knowledge Rumination for Pre-trained Language Models
Knowledge Rumination for Pre-trained Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Yunzhi Yao
Peng Wang
Shengyu Mao
Chuanqi Tan
Fei Huang
Huajun Chen
Ningyu Zhang
KELM
181
5
0
15 May 2023
1