The paper introduces a new benchmark, FFT, for assessing the harmlessness of Large Language Models (LLMs). It addresses concerns about the potential harm caused by AI-generated texts, which can stem…
Continue readingThe study discusses the potential harms posed by AI-generated texts, especially from factoid, unfair, and toxic content. The authors propose FFT, a new benchmark with 2116 instances, for evaluating the…
Continue readingThis article focuses on the problem of factually incorrect responses generated by Language Models (LMs). The proposed solution involves augmenting LMs with knowledge retrieved from an external source. However, this…
Continue readingLooks like you're using an ad blocker. Please support us by disabling these ad blocker.
