Raghav Jain

According to our database, Raghav Jain authored at least 35 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Generate, Filter, Control, Replay: A Comprehensive Survey of Rollout Strategies for LLM Reinforcement Learning.

Rohan Surana, Gagan Mundada, Xunyi Jiang, Chuhan Wang, Zhenwei Tang, Difan Jiao, Zihan Huang, Yuxin Xiong, Junda Wu, Sheldon Yu, Xintong Li, Raghav Jain, Nikki Kuang, Sizhe Zhou, Bowen Jin, Zhendong Chu, Tong Yu, Ryan Rossi, Kuan-Hao Huang, Jingbo Shang, Jiawei Han, Julian J. McAuley

CoRR, May, 2026

Assessing current capabilities for incorporating lipidomics in multiomics data integration.

Dylan H. Ross, Raghav Jain, Hyeyoon Kim, Javier E. Flores, Soumaydeep Sarkar, Chaevien S. Clendinen, Jennifer E. Kyle, Tao Liu, Sara J. C. Gosline

Briefings Bioinform., 2026

The Subtle Art of Defection: Understanding Uncooperative Behaviors in LLM based Multi-Agent Systems.

Devang Kulshreshtha, Wanyu Du, Raghav Jain, Srikanth Doss, Hang Su, Sandesh Swamy, Yanjun Qi

Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

2025

Using Shapley interactions to understand how models use structure.

Divyansh Singhvi, Diganta Misra, Andrej Erkelens, Raghav Jain, Isabel Papadimitriou, Naomi Saphra

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Toward Multimodal Complaint Severity Detection From Social Media.

Apoorva Singh, Prince Jha, Souryadip Das, Raghav Jain, Sriparna Saha

IEEE Trans. Comput. Soc. Syst., October, 2024

Explainable Cyberbullying Detection in Hinglish: A Generative Approach.

Krishanu Maity, Raghav Jain, Prince Jha, Sriparna Saha

IEEE Trans. Comput. Soc. Syst., June, 2024

Examining the Implications of Deepfakes for Election Integrity.

Hriday Ranka, Mokshit Surana, Neel Kothari, Veer Pariawala, Pratyay Banerjee, Aditya Surve, Sainath Reddy Sankepally, Raghav Jain, Jhagrut Lalwani, Swapneel S. Mehta

CoRR, 2024

Knowing Your Nonlinearities: Shapley Interactions Reveal the Underlying Structure of Data.

Divyansh Singhvi, Andrej Erkelens, Raghav Jain, Diganta Misra, Naomi Saphra

CoRR, 2024

ConspEmoLLM: Conspiracy Theory Detection Using an Emotion-Based Large Language Model.

Zhiwei Liu, Boyang Liu, Paul Thompson, Kailai Yang, Raghav Jain, Sophia Ananiadou

CoRR, 2024

Timeline Summarization in the Era of LLMs.

Daivik Sojitra, Raghav Jain, Sriparna Saha, Adam Jatowt, Manish Gupta

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.

Akash Ghosh, Arkadeep Acharya, Prince Jha, Sriparna Saha, Aniket Gaudgaul, Rajdeep Majumdar, Aman Chadha, Raghav Jain, Setu Sinha, Shivani Agarwal

Proceedings of the Advances in Information Retrieval, 2024

Meme-ingful Analysis: Enhanced Understanding of Cyberbullying in Memes Through Multimodal Explanations.

Prince Jha, Krishanu Maity, Raghav Jain, Apoorv Verma, Sriparna Saha, Pushpak Bhattacharyya

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.

Caitlyn Vergara, Raghav Jain, Swapneel S. Mehta

Proceedings of the 25th Annual International Conference on Digital Government Research, 2024

Stance and Hate Event Detection in Tweets Related to Climate Activism - Shared Task at CASE 2024.

Surendrabikram Thapa, Kritesh Rauniyar, Farhan Jafri, Shuvam Shiwakoti, Hariram Veeramani, Raghav Jain, Guneet Singh Kohli, Ali Hürriyetoglu, Usman Naseem

Proceedings of the 7th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text, 2024

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

Prince Jha, Raghav Jain, Konika Mandal, Aman Chadha, Sriparna Saha, Pushpak Bhattacharyya

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

CLIPSyntel: CLIP and LLM Synergy for Multimodal Question Summarization in Healthcare.

Akash Ghosh, Arkadeep Acharya, Raghav Jain, Sriparna Saha, Aman Chadha, Setu Sinha

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Multiagent Simulators for Social Networks.

Aditya Surve, Archit Rathod, Mokshit Surana, Gautam Malpani, Aneesh Shamraj, Sainath Reddy Sankepally, Raghav Jain, Swapneel S. Mehta

CoRR, 2023

Large Language Models as Tax Attorneys: A Case Study in Legal Capabilities Emergence.

John J. Nay, David Karamardian, Sarah B. Lawsky, Wenting Tao, Meghana Bhat, Raghav Jain, Aaron Travis Lee, Jonathan H. Choi, Jungo Kasai

CoRR, 2023

Aspect-Based Complaint and Cause Detection: A Multimodal Generative Framework with External Knowledge Infusion.

Raghav Jain, Apoorv Verma, Apoorva Singh, Vivek Kumar Gangwar, Sriparna Saha

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.

Sarmistha Das, Apoorva Singh, Raghav Jain, Sriparna Saha, Alka Maurya

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

AbCoRD: Exploiting multimodal generative approach for Aspect-based Complaint and Rationale Detection.

Raghav Jain, Apoorva Singh, Vivek Kumar Gangwar, Sriparna Saha

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Generative Models vs Discriminative Models: Which Performs Better in Detecting Cyberbullying in Memes?

Raghav Jain, Krishanu Maity, Prince Jha, Sriparna Saha

Proceedings of the International Joint Conference on Neural Networks, 2023

Reimagining Complaint Analysis: Adopting Seq2Path for a Generative Text-to-Text Framework.

Apoorva Singh, Raghav Jain, Sriparna Saha

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.

Krishanu Maity, Prince Jha, Raghav Jain, Sriparna Saha, Pushpak Bhattacharyya

Proceedings of the Document Analysis and Recognition - ICDAR 2023, 2023

GenEx: A Commonsense-aware Unified Generative Framework for Explainable Cyberbullying Detection.

Krishanu Maity, Raghav Jain, Prince Jha, Sriparna Saha, Pushpak Bhattacharyya

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Can you Summarize my learnings? Towards Perspective-based Educational Dialogue Summarization.

Raghav Jain, Tulika Saha, Jhagrut Lalwani, Sriparna Saha

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.

Raghav Jain, Daivik Sojitra, Arkadeep Acharya, Sriparna Saha, Adam Jatowt, Sandipan Dandapat

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

T-VAKS: A Tutoring-Based Multimodal Dialog System via Knowledge Selection.

Raghav Jain, Tulika Saha, Sriparna Saha

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.

Apoorva Singh, Apoorv Verma, Raghav Jain, Sriparna Saha

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.

Apoorva Singh, Raghav Jain, Prince Jha, Sriparna Saha

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

A Survey on Medical Document Summarization.

Raghav Jain, Anubhav Jangra, Sriparna Saha, Adam Jatowt

CoRR, 2022

Domain Infused Conversational Response Generation for Tutoring based Virtual Agent.

Raghav Jain, Tulika Saha, Souhitya Chakraborty, Sriparna Saha

Proceedings of the International Joint Conference on Neural Networks, 2022

WIDAR - Weighted Input Document Augmented ROUGE.

Raghav Jain, Vaibhav Mavi, Anubhav Jangra, Sriparna Saha

Proceedings of the Advances in Information Retrieval, 2022

2020

BIRDSAI: A Dataset for Detection and Tracking in Aerial Thermal Infrared Videos.

Elizabeth Bondi, Raghav Jain, Palash Aggrawal, Saket Anand, Robert Hannaford, Ashish Kapoor, Jim Piavis, Shital Shah, Lucas Joppa, Bistra Dilkina, Milind Tambe

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Semantic Extractor-Paraphraser based Abstractive Summarization.

Anubhav Jangra, Raghav Jain, Vaibhav Mavi, Sriparna Saha, Pushpak Bhattacharyya

Proceedings of the 17th International Conference on Natural Language Processing, 2020