77 citations · 115 across the 5 of their papers we have counts for
Showing 2022Show all
3 papers · 1 filter
cs.CL2022
Selecting Better Samples from Pre-trained LLMs: A Case Study on Question Generation
Xingdi Yuan, Tong Wang, Yen-Hsiang Wang +5
Large Language Models (LLMs) have in recent years demonstrated impressive prowess in natural language generation. A common practice to improve generation diversity is to sample mul…
cs.CL2022★ 1 cited
General-to-Specific Transfer Labeling for Domain Adaptable Keyphrase Generation
Rui Meng, Tong Wang, Xingdi Yuan +2
Training keyphrase generation (KPG) models require a large amount of annotated data, which can be prohibitively expensive and often limited to specific domains. In this study, we f…
cs.CL2022
Better Language Model with Hypernym Class Prediction
He Bai, Tong Wang, Alessandro Sordoni +1
Class-based language models (LMs) have been long devised to address context sparsity in -gram LMs. In this study, we revisit this approach in the context of neural LMs. We hypot…