Prince Jha

4 papers · 2023–2024 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (10) 🐣 Hot Topic Early Bird

Venues

ACL (2) EACL (1) EMNLP (1)

Top co-authors

Sriparna Saha (4) Raghav Jain (4) Pushpak Bhattacharyya (3) Krishanu Maity (2) APOORVA SINGH (1) Aman Chadha (1) Apoorv Verma (1) Konika Mandal (1)

Research topics

Artificial Intelligence (4) Core AI (4) Natural Language Processing (3) Applications (3) Deep Learning (2) Machine Learning (2) Learning Types · Machine Learning (2) Application Areas (1) Architectures (1) Generation (1) Learning Types · Deep Learning (1)

Keywords

text classification (2) cyberbullying detection (2) multimodal learning (2) explainable ai (2) multi-task learning (2) visual explanation (1) emotion detection (1) clip model (1) commonsense reasoning (1) explainable artificial intelligence (1) code-mixed language (1) text-to-text generation (1) visual language model (1) large language model (1) meme intervention (1) shared-private multitask (1) complaint detection (1) text generation (1) content moderation (1) interpretable machine learning (1)

Papers

MemeGuard: An LLM and VLM-based Framework for Advancing Content Moderation via Meme Intervention ACL 2024 Meme-ingful Analysis: Enhanced Understanding of Cyberbullying in Memes Through Multimodal Explanations EACL 2024 GenEx: A Commonsense-aware Unified Generative Framework for Explainable Cyberbullying Detection EMNLP 2023 Peeking inside the black box: A Commonsense-aware Generative Framework for Explainable Complaint Detection ACL 2023