Author

Prashant W. Patil

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#artificial intelligence Preprint Sep 2026

What Improves Multimodal Misinformation Detection? Answers from a Large-Scale Empirical Study

This paper conducts a large-scale study of multimodal design choices for misinformation detection with over 3,375 experiments, distill practical guidance on which design choices help, when do they fail silently, and what aspects of the pipeline most strongly shape model behavior.

Akshit Sharma, Prashant W. Patil · 0 citations

#machine learning Preprint Sep 2026

Small Cues, Big Consequences: Learning Pivotal Cues for Multimodal Meme Classification

This work introduces MemeCF, a cue-focused benchmark of 9,895 memes across harm, hate, and sarcasm, with annotations identifying the modality and rationale of the pivotal evidence.

Akshit Sharma, Prashant W. Patil · 1 citation