Raghav Jain
Orcid: 0000-0002-5422-9498
According to our database1,
Raghav Jain
authored at least 26 papers
between 2020 and 2024.
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Bibliography
2024
Knowing Your Nonlinearities: Shapley Interactions Reveal the Underlying Structure of Data.
CoRR, 2024
ConspEmoLLM: Conspiracy Theory Detection Using an Emotion-Based Large Language Model.
CoRR, 2024
MedSumm: A Multimodal Approach to Summarizing Code-Mixed Hindi-English Clinical Queries.
Proceedings of the Advances in Information Retrieval, 2024
Meme-ingful Analysis: Enhanced Understanding of Cyberbullying in Memes Through Multimodal Explanations.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024
Extended Multimodal Hate Speech Event Detection During Russia-Ukraine Crisis - Shared Task at CASE 2024.
Proceedings of the 7th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text, 2024
Stance and Hate Event Detection in Tweets Related to Climate Activism - Shared Task at CASE 2024.
Proceedings of the 7th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text, 2024
CLIPSyntel: CLIP and LLM Synergy for Multimodal Question Summarization in Healthcare.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Large Language Models as Tax Attorneys: A Case Study in Legal Capabilities Emergence.
CoRR, 2023
Aspect-Based Complaint and Cause Detection: A Multimodal Generative Framework with External Knowledge Infusion.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023
Let the Model Make Financial Senses: A Text2Text Generative Approach for Financial Complaint Identification.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023
AbCoRD: Exploiting multimodal generative approach for Aspect-based Complaint and Rationale Detection.
Proceedings of the 31st ACM International Conference on Multimedia, 2023
Generative Models vs Discriminative Models: Which Performs Better in Detecting Cyberbullying in Memes?
Proceedings of the International Joint Conference on Neural Networks, 2023
Reimagining Complaint Analysis: Adopting Seq2Path for a Generative Text-to-Text Framework.
Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2023
Proceedings of the Document Analysis and Recognition - ICDAR 2023, 2023
GenEx: A Commonsense-aware Unified Generative Framework for Explainable Cyberbullying Detection.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Can you Summarize my learnings? Towards Perspective-based Educational Dialogue Summarization.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Do Language Models Have a Common Sense regarding Time? Revisiting Temporal Commonsense Reasoning in the Era of Large Language Models.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023
Investigating the Impact of Multimodality and External Knowledge in Aspect-level Complaint and Sentiment Analysis.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
Peeking inside the black box: A Commonsense-aware Generative Framework for Explainable Complaint Detection.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
2022
Proceedings of the International Joint Conference on Neural Networks, 2022
Proceedings of the Advances in Information Retrieval, 2022
2020
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020
Proceedings of the 17th International Conference on Natural Language Processing, 2020