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LLM framework Detoxify transforms abusive text while preserving intent

By PulseAugur Editorial · [1 sources] ·

Researchers have developed a framework called Detoxify, which utilizes Large Language Models (LLMs) to transform abusive text into non-abusive versions while preserving the original intent. The study evaluated the performance of four LLMs—Gemini, GPT-4o, DeepSeek, and Groq—in identifying and transforming hate speech and profanity in tweets and reviews. Results indicated that Groq produced significantly different outputs compared to the others, often altering context, while GPT-4o and DeepSeek showed similarities in their transformations. AI

IMPACT This research could lead to improved content moderation tools and safer online communication platforms.

RANK_REASON The cluster is based on an academic paper published on arXiv detailing a new framework and its evaluation. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

LLM framework Detoxify transforms abusive text while preserving intent

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The cluster is based on an academic paper published on arXiv detailing a new framework and its evaluation. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Rohitash Chandra, Jiyong Choi, Jayesh Sonawane ·

    Detoxify: A framework for abusive text transformation using LLMs

    arXiv:2507.10177v2 Announce Type: replace-cross Abstract: Although Large Language Models (LLMs) have demonstrated significant advancements in natural language processing tasks, their effectiveness in the classification and transformation of abusive text into non-abusive versions …

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