The article discusses the potential of proactive content moderation, supported by AI, in improving the quality of online discourse. The researchers developed a mobile keyboard with built-in proactive content moderation…
Continue readingThe article introduces MuTox, a multilingual audio-based toxicity detection system. It’s the first of its kind, with a dataset that includes 20,000 audio utterances for English and Spanish, and 4,000…
Continue readingThe article focuses on understanding the mechanisms of alignment algorithms, particularly Direct Preference Optimization (DPO), and how they reduce toxicity in language models like GPT2. The researchers first study how…
Continue readingThe 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 readingThe paper examines the use of Large Language Models (LLMs) like GPT-3 and GPT-4 in content moderation roles. It evaluates their performance in rule-based community moderation and toxic content detection….
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