REPT: Bridging Language Models and Machine Reading Comprehension via Retrieval-Based Pre-training · Fangkai Jiao, Yangyang Guo, Yilin Niu, Feng Ji, ...
May 10, 2021 · We present REPT, a REtrieval-based Pre-Training approach. In particular, we introduce two self-supervised tasks to strengthen evidence extraction during pre- ...
[PDF] REPT: Bridging Language Models and Machine Reading ...
www.semanticscholar.org › paper › REP...
This work introduces two self-supervised tasks to strengthen evidence extraction during pre-training, which is further inherited by downstream MRC tasks ...
Aug 1, 2021 · In this paper, we present a novel pre-training ap- proach, REPT, to bridge the gap between pre- trained language models and machine reading com-.
This is the repo for the paper REPT: Bridging Language Models and Machine Reading Comprehension via Retrieval-Based Pre-training (ACL-IJCNLP 2021: Findings).
The proposed model can be applied to other machine reading comprehension models through pretraining. To enhance the performance of the proposed machine reading ...
Bridging Language Models and Machine Reading Comprehension via
dblp.org › rec › corr › abs-2105-04201
May 31, 2021 · Bibliographic details on REPT: Bridging Language Models and Machine Reading Comprehension via Retrieval-Based Pre-training.
REPT: Bridging Language Models and Machine Reading Comprehension via Retrieval-Based Pre-training. Fangkai Jiao, Yangyang Guo, Yilin Niu, Feng Ji, Feng-Lin Li ...
This project focuses on enhancing open-source large language models through instruction-tuning and providing comprehensive evaluations of their performance.
Co-authors ; REPT: Bridging language models and machine reading comprehension via retrieval-based pre-training. F Jiao, Y Guo, Y Niu, F Ji, FL Li, L Nie.