1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CL2023★ 1 cited
A Systematic Study of Knowledge Distillation for Natural Language Generation with Pseudo-Target Training
Nitay Calderon, Subhabrata Mukherjee, Roi Reichart +1
Modern Natural Language Generation (NLG) models come with massive computational and storage requirements. In this work, we study the potential of compressing them, which is crucial…
cs.CL2023
MeeQA: Natural Questions in Meeting Transcripts
Reut Apel, Tom Braude, Amir Kantor +1
We present MeeQA, a dataset for natural-language question answering over meeting transcripts. It includes real questions asked during meetings by its participants. The dataset cont…