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Author

Prince Jha

Observed name: Jha, Prince
ORCID: 0000-0002-7812-5407
Observed ORCID: 0000-0002-7812-5407
OpenAlex ID: A5028134499
A Multitask Framework for Sentiment, Emotion and Sarcasm aware Cyberbullying Detection from Multi-modal Code-Mixed Memes
2022 · Krishanu Maity, Prince Jha, et al. · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · 81
Explainable Cyberbullying Detection in Hinglish: A Generative Approach
2023 · Krishanu Maity, Raghav Jain, et al. · IEEE Transactions on Computational Social Systems · 13
MedSumm: A Multimodal Approach to Summarizing Code-Mixed Hindi-English Clinical Queries
2024 · Akash Ghosh, Arkadeep Acharya, et al. · Lecture notes in computer science · 12
Meme-ingful Analysis: Enhanced Understanding of Cyberbullying in Memes Through Multimodal Explanations
2024 · Prince Jha, Krishanu Maity, et al. · Conference of the European Chapter of the Association for Computational Linguistics · 7
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An EcoSage Assistant: Towards Building A Multimodal Plant Care Dialogue Assistant
2024 · Mohit Tomar, Abhisek Tiwari, et al. · Lecture notes in computer science · 6
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MemeGuard: An LLM and VLM-based Framework for Advancing Content Moderation via Meme Intervention
2024 · Prince Jha, Raghav Jain, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting · 6
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“Explain Thyself Bully”: Sentiment Aided Cyberbullying Detection with Explanation
2023 · Krishanu Maity, Prince Jha, et al. · Lecture notes in computer science · 6
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GenEx: A Commonsense-aware Unified Generative Framework for Explainable Cyberbullying Detection
2023 · Krishanu Maity, Raghav Jain, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 5
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Combining Vision and Language Representations for Patch-based Identification of Lexico-Semantic Relations
2022 · Prince Jha, Gaël Dias, et al. · ACM International Conference on Multimedia (ACM MM) · 5
Generative Models vs Discriminative Models: Which Performs Better in Detecting Cyberbullying in Memes?
2023 · Raghav Jain, Krishanu Maity, et al. · International Joint Conference on Neural Networks (IJCNN) · 4
Toward Multimodal Complaint Severity Detection From Social Media
2024 · Apoorva Singh, Prince Jha, et al. · IEEE Transactions on Computational Social Systems · 3
What Is Your Cause for Concern? Towards Interpretable Complaint Cause Analysis
2023 · Apoorva Singh, Prince Jha, et al. · Lecture notes in computer science · 3
Peeking inside the black box: A Commonsense-aware Generative Framework for Explainable Complaint Detection
2023 · Apoorva Singh, Raghav Jain, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting · 2
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Meme-ingful Analysis: Enhanced Understanding of Cyberbullying in Memes Through Multimodal Explanations
2024 · Jha, Prince, Maity, Krishanu, et al. · arXiv (Cornell University) · 1
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CausalDreamer: Learning Predictive World Models with Latent Disentanglement
2026 · Jha, Prince, Lukas, Nils, et al. · arXiv (Cornell University)
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Context Inference Attacks Without Jailbreaks
2026 · Jha, Prince, Poppi, Samuele, et al. · arXiv (Cornell University)
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Boundary-targeted Membership Inference Attacks on Safety Classifiers
2026 · Hughes, Anthony, Goldberg, Alexander, et al. · arXiv (Cornell University)
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On the Cultural Anachronism and Temporal Reasoning in Vision Language Models
2026 · Ranjan, Mukul, Jha, Prince, et al. · arXiv (Cornell University)
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On the Cultural Anachronism and Temporal Reasoning in Vision Language Models
2026 · Mukul Ranjan, Prince Jha, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL)
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MemeGuard: An LLM and VLM-based Framework for Advancing Content Moderation via Meme Intervention
2024 · Jha, Prince, Jain, Raghav, et al. · arXiv (Cornell University)
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MedSumm: A Multimodal Approach to Summarizing Code-Mixed Hindi-English Clinical Queries
2024 · Ghosh, Akash, Acharya, Arkadeep, et al. · arXiv (Cornell University)
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Works count: 24
Citation count: 154
H-index: 6
I10-index: 3
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