Papers by Konika Mandal

1 papers
MemeGuard: An LLM and VLM-based Framework for Advancing Content Moderation via Meme Intervention (2024.acl-long)

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Challenge: Existing studies on content moderation of toxic memes focus on text-based content . current research neglects the widespread influence of multimodal content like memes .
Approach: They propose a framework leveraging Large Language Models and Visual Language Model (VLMs) for meme intervention.
Outcome: The proposed framework enables users to generate relevant and effective responses to toxic memes.

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