REPT: Bridging Language Models and Machine Reading Comprehension via Retrieval-Based Pre-training

10 May 2021

Papers citing "REPT: Bridging Language Models and Machine Reading Comprehension via Retrieval-Based Pre-training"

8 / 8 papers shown

Title
Machine Reading Comprehension using Case-based Reasoning Dung Ngoc Thai Dhruv Agarwal Mudit Chaudhary Wenlong Zhao Rajarshi Das Manzil Zaheer J. Lee Hannaneh Hajishirzi Andrew McCallum 15 1 0 24 May 2023
Exploring Self-supervised Logic-enhanced Training for Large Language Models Fangkai Jiao Zhiyang Teng Bosheng Ding Zhengyuan Liu Nancy F. Chen Shafiq R. Joty ReLM LRM 19 4 0 23 May 2023
SpanDrop: Simple and Effective Counterfactual Learning for Long Sequences Peng Qi Guangtao Wang Jing Huang 16 0 0 03 Aug 2022
A Unified End-to-End Retriever-Reader Framework for Knowledge-based VQA Yangyang Guo Liqiang Nie Yongkang Wong Y. Liu Zhiyong Cheng Mohan S. Kankanhalli 69 39 0 30 Jun 2022
Bridging the Gap between Language Models and Cross-Lingual Sequence Labeling Nuo Chen Linjun Shou Ming Gong Jian Pei Daxin Jiang 19 10 0 11 Apr 2022
MERIt: Meta-Path Guided Contrastive Learning for Logical Reasoning Fangkai Jiao Yangyang Guo Xuemeng Song Liqiang Nie LRM 31 35 0 01 Mar 2022
Rethinking embedding coupling in pre-trained language models Hyung Won Chung Thibault Févry Henry Tsai Melvin Johnson Sebastian Ruder 93 142 0 24 Oct 2020
Pre-trained Models for Natural Language Processing: A Survey Xipeng Qiu Tianxiang Sun Yige Xu Yunfan Shao Ning Dai Xuanjing Huang LM&MA VLM 241 1,450 0 18 Mar 2020