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Survey details LLM's dual role in generating and mitigating harmful content

By PulseAugur Editorial · [1 sources] ·

A new survey paper titled "Guardians and Offenders: A Survey on Harmful Content Generation and Safety Mitigation of LLM" systematically reviews the dual nature of Large Language Models (LLMs). The paper explores how LLMs can both generate harmful content, such as toxic or biased language, and also serve as tools for safety through detection and prevention. It proposes a taxonomy of LLM harms and defenses, analyzes adversarial attacks, and evaluates mitigation strategies like RLHF and prompt engineering. AI

IMPACT Provides a comprehensive overview of LLM safety challenges and mitigation techniques, guiding future research in ethical AI development.

RANK_REASON The cluster contains a survey paper on LLM safety and harmful content generation. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CL →

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

Survey details LLM's dual role in generating and mitigating harmful content

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The cluster contains a survey paper on LLM safety and harmful content generation. [lever_c_demoted from research: ic=1 ai=1.0]
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paper, safety
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High
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59 days old
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COVERAGE [1]

  1. arXiv cs.CL TIER_1 English(EN) · Chi Zhang, Changjia Zhu, Junjie Xiong, Xiaoran Xu, Lingyao Li, Yao Liu, Zhuo Lu ·

    Guardians and Offenders: A Survey on Harmful Content Generation and Safety Mitigation of LLM

    arXiv:2508.05775v3 Announce Type: replace Abstract: Large Language Models (LLMs) have revolutionized content creation across digital platforms, offering unprecedented capabilities in natural language generation and understanding. Meanwhile, they pose risks by inadvertently produc…

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