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cs.CL2023★ 1 cited
Unveiling Safety Vulnerabilities of Large Language Models
George Kour, Marcel Zalmanovici, Naama Zwerdling +5
As large language models become more prevalent, their possible harmful or inappropriate responses are a cause for concern. This paper introduces a unique dataset containing adversa…
cs.CL2023
Characterizing how 'distributional' NLP corpora distance metrics are
Samuel Ackerman, George Kour, Eitan Farchi
A corpus of vector-embedded text documents has some empirical distribution. Given two corpora, we want to calculate a single metric of distance (e.g., Mauve, Frechet Inception) bet…