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20192023
most citedHow Can We Know When Language Models Know? On the Calibration of Language Models for Question Answering

40 citations · 56 across the 7 of their papers we have counts for

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cs.CL2023

Knowledge-grounded Natural Language Recommendation Explanation

Anthony Colas, Jun Araki, Zhengyu Zhou +2

Explanations accompanied by a recommendation can assist users in understanding the decision made by recommendation systems, which in turn increases a user's confidence and trust in…

cs.CL2023★ 2 cited

SwitchPrompt: Learning Domain-Specific Gated Soft Prompts for Classification in Low-Resource Domains

Koustava Goswami, Lukas Lange, Jun Araki +1

Prompting pre-trained language models leads to promising results across natural language processing tasks but is less effective when applied in low-resource domains, due to the dom…