Evaluating Large Language Models for Document-grounded Response Generation in Information-Seeking Dialogues

21 September 2023

Papers citing "Evaluating Large Language Models for Document-grounded Response Generation in Information-Seeking Dialogues"

8 / 8 papers shown

Title
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 874 12,916 0 04 Mar 2022
MultiDoc2Dial: Modeling Dialogues Grounded in Multiple Documents Song Feng S. Patel H. Wan Sachindra Joshi 76 68 0 26 Sep 2021
Dense Passage Retrieval for Open-Domain Question Answering Vladimir Karpukhin Barlas Oğuz Sewon Min Patrick Lewis Ledell Yu Wu Sergey Edunov Danqi Chen Wen-tau Yih RALM 180 3,755 0 10 Apr 2020
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension M. Lewis Yinhan Liu Naman Goyal Marjan Ghazvininejad Abdel-rahman Mohamed Omer Levy Veselin Stoyanov Luke Zettlemoyer AIMat VLM 246 10,819 0 29 Oct 2019
RoBERTa: A Robustly Optimized BERT Pretraining Approach Yinhan Liu Myle Ott Naman Goyal Jingfei Du Mandar Joshi Danqi Chen Omer Levy M. Lewis Luke Zettlemoyer Veselin Stoyanov AIMat 627 24,431 0 26 Jul 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 1.7K 94,770 0 11 Oct 2018
A Call for Clarity in Reporting BLEU Scores Matt Post 150 2,985 0 23 Apr 2018
SQuAD: 100,000+ Questions for Machine Comprehension of Text Pranav Rajpurkar Jian Zhang Konstantin Lopyrev Percy Liang RALM 280 8,127 0 16 Jun 2016