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20192023
most citedIn-Context Impersonation Reveals Large Language Models' Strengths and Biases

36 citations · 69 across the 7 of their papers we have counts for

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Showing 2021Show all

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cs.CV2021

e-ViL: A Dataset and Benchmark for Natural Language Explanations in Vision-Language Tasks

Maxime Kayser, Oana-Maria Camburu, Leonard Salewski +4

Recently, there has been an increasing number of efforts to introduce models capable of generating natural language explanations (NLEs) for their predictions on vision-language (VL…