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

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

9 / 9 papers shown

Improving Factuality for Dialogue Response Generation via Graph-Based Knowledge Augmentation

240

14 Jun 2025

ECKGBench: Benchmarking Large Language Models in E-commerce Leveraging Knowledge Graph

260

20 Mar 2025

Internal and External Knowledge Interactive Refinement Framework for Knowledge-Intensive Question Answering

Haowei Du

Dongyan Zhao

KELM

181

23 Aug 2024

Can Language Models Act as Knowledge Bases at Scale?

254

22 Feb 2024

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

238

24 Oct 2023

Beyond Factuality: A Comprehensive Evaluation of Large Language Models as Knowledge GeneratorsConference on Empirical Methods in Natural Language Processing (EMNLP), 2023

Zeyu Qin

246

11 Oct 2023

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

163

27 Jun 2023

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

151

24 May 2023

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

263

15 May 2023