Dataset · Hugging Face

swainsubhankar/PEST

Name: PEST
Creator: swainsubhankar
Keywords: task_categories:image-classification, task_categories:image-to-text, language:en, size_categories:1K<n<10K, format:parquet, format:optimized-parquet, modality:image, modality:text, library:datasets, library:dask, library:polars, library:mlcroissant, arxiv:2601.04692, region:us, hateful-meme-detection

PEST: Parameter Efficient Steering of Blackbox VLMs via Agentic Few-shot Alignment for Hateful Meme Moderation 🎉 ACM Multimedia (ACM MM) Main Track Paper Accepted! Figure 1. Overview of the PEST framework. 🔎 TL;DR PEST introduces a novel framework for generalizable hateful meme moderation that leverages lightweight task-specific multimodal agents to steer powerful black-box vision-language models through agentic few-shot alignment. Going beyond conventional… See the full description on the dataset page: https://huggingface.co/datasets/swainsubhankar/PEST.

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Author / organization	swainsubhankar
Downloads	604 (as reported by Hugging Face)
Likes	2
Created	25 September 2026
Last updated at source	15 October 2026

hateful-meme-detectionmultimodal-learningcontent-moderationvision-language-modelsexplanation-generationintervention-generationfew-shot-learning

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