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Leonard Salewski

2 accepted papers

2023

In-Context Impersonation Reveals Large Language Models' Strengths and Biases

NeurIPS 2023spotlight

In everyday conversations, humans can take on different roles and adapt their vocabulary to their chosen roles. We explore whether LLMs can take on, that is impersonate, different roles when they generate text in-context. We ask LLMs to assume different personas before solving vision and language ta…

2021

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

ICCV 2021poster

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) tasks. Such models are appealing, because they can provide human-friendly and comprehensive explanations. However, the…

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