7 citations · 7 across the 5 of their papers we have counts for
6 papers
CopyShield: A Cross-Level Benchmark of Copyright Defenses in LLMs
Maryam Alshehyari, Dushyant Singh Chauhan, Samuele Poppi +3
Large language models can reproduce memorized text verbatim, yet copyright defenses are usually evaluated under incompatible protocols. We introduce CopyShield, a controlled benchm…
Entropy-Gated Latent Recursion
Soham Bhattacharjee, Dushyant Singh Chauhan, Salem Lahlou +2
Inference-time scaling has become the dominant lever for improving language-model reasoning, but existing methods derive rollout diversity from a single source: stochastic token-le…
What is Beneath Misogyny: Misogynous Memes Classification and Explanation
Kushal Kanwar, Dushyant Singh Chauhan, Gopendra Vikram Singh +1
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…
Target-Augmented Shared Fusion-based Multimodal Sarcasm Explanation Generation
Palaash Goel, Dushyant Singh Chauhan, Md Shad Akhtar
Sarcasm is a linguistic phenomenon that intends to ridicule a target (e.g., entity, event, or person) in an inherent way. Multimodal Sarcasm Explanation (MuSE) aims at revealing th…
M2H2: A Multimodal Multiparty Hindi Dataset For Humor Recognition in Conversations
Dushyant Singh Chauhan, Gopendra Vikram Singh, Navonil Majumder +5
Humor recognition in conversations is a challenging task that has recently gained popularity due to its importance in dialogue understanding, including in multimodal settings (i.e.…
Multi-task Learning for Multi-modal Emotion Recognition and Sentiment Analysis
Md Shad Akhtar, Dushyant Singh Chauhan, Deepanway Ghosal +3
Related tasks often have inter-dependence on each other and perform better when solved in a joint framework. In this paper, we present a deep multi-task learning framework that joi…