Raghav Jain

Orcid: 0000-0002-5422-9498

According to our database1, Raghav Jain authored at least 26 papers between 2020 and 2024.

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

Timeline

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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
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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