Kushal Kanwar — accepted AI-conference papers

2026

Addressing Overcommitment in the Reasoning of Gendered Economic Memes Under Multimodal Ambiguity

Kushal Kanwar, Dushyant Singh Chauhan, Kapil Rana, Gopendra Vikram Singh, Nils Lukas

IJCAI 2026

Multimodal meme understanding is increasingly used to analyze socially sensitive content, yet existing models often exhibit biased behavior when interpreting economic dependence and social roles under ambiguity. Many memes express economic relationships through sparse text or symbolic visual cues, p

Cited by 0 Scholar ↗

2025

What is Beneath Misogyny: Misogynous Memes Classification and Explanation

Kushal Kanwar, Dushyant Singh Chauhan, Gopendra Vikram Singh, Asif Ekbal

IJCAI 2025

Memes are popular in the modern world and are distributed primarily for entertainment. However, harmful ideologies such as misogyny can be propagated through innocent-looking memes. The detection and understanding of why a meme is misogynous is a research challenge due to its multimodal nature (imag

Cited by 0 Source ↗PDF ↗Scholar ↗