Raghav Jain

Orcid: 0000-0002-5422-9498

According to our database1, Raghav Jain authored at least 31 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Explainable Cyberbullying Detection in Hinglish: A Generative Approach.
IEEE Trans. Comput. Soc. Syst., June, 2024

Examining the Implications of Deepfakes for Election Integrity.
CoRR, 2024

MemeGuard: An LLM and VLM-based Framework for Advancing Content Moderation via Meme Intervention.
CoRR, 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

Timeline Summarization in the Era of LLMs.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 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

A History of Transparency Regulations: Interdisciplinary Strategies for Shaping Social Media Regulation and Self-Governance.
Proceedings of the 25th Annual International Conference on Digital Government Research, 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
Multiagent Simulators for Social Networks.
CoRR, 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

"Explain Thyself Bully": Sentiment Aided Cyberbullying Detection with Explanation.
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

T-VAKS: A Tutoring-Based Multimodal Dialog System via Knowledge Selection.
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
A Survey on Medical Document Summarization.
CoRR, 2022

Domain Infused Conversational Response Generation for Tutoring based Virtual Agent.
Proceedings of the International Joint Conference on Neural Networks, 2022

WIDAR - Weighted Input Document Augmented ROUGE.
Proceedings of the Advances in Information Retrieval, 2022

2020
BIRDSAI: A Dataset for Detection and Tracking in Aerial Thermal Infrared Videos.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Semantic Extractor-Paraphraser based Abstractive Summarization.
Proceedings of the 17th International Conference on Natural Language Processing, 2020


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