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20192025
most citedDomain Specialization as the Key to Make Large Language Models Disruptive: A Comprehensive Survey

74 citations · 99 across the 11 of their papers we have counts for

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Showing 2022Show all

2 papers · 1 filter

cs.CL2022

Closed-book Question Generation via Contrastive Learning

Xiangjue Dong, Jiaying Lu, Jianling Wang +1

Question Generation (QG) is a fundamental NLP task for many downstream applications. Recent studies on open-book QG, where supportive answer-context pairs are provided to models, h…

cs.IR2022

How Can Graph Neural Networks Help Document Retrieval: A Case Study on CORD19 with Concept Map Generation

Hejie Cui, Jiaying Lu, Yao Ge +1

Graph neural networks (GNNs), as a group of powerful tools for representation learning on irregular data, have manifested superiority in various downstream tasks. With unstructured…