| 2026 | EACL | 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 |
| 2025 | ACL | Using Shapley interactions to understand how models use structure. | Divyansh Singhvi, Diganta Misra, Andrej Erkelens, Raghav Jain, Isabel Papadimitriou, Naomi Saphra |
| 2024 | AAAI | CLIPSyntel: CLIP and LLM Synergy for Multimodal Question Summarization in Healthcare. | Akash Ghosh, Arkadeep Acharya, Raghav Jain, Sriparna Saha, Aman Chadha, Setu Sinha |
| 2024 | ACL | 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 |
| 2024 | EACL | Meme-ingful Analysis: Enhanced Understanding of Cyberbullying in Memes Through Multimodal Explanations. | Prince Jha, Krishanu Maity, Raghav Jain, Apoorv Verma, Sriparna Saha, Pushpak Bhattacharyya |
| 2024 | ECIR | 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 |
| 2024 | SIGIR | Timeline Summarization in the Era of LLMs. | Daivik Sojitra, Raghav Jain, Sriparna Saha, Adam Jatowt, Manish Gupta |
| 2023 | ACL | Peeking inside the black box: A Commonsense-aware Generative Framework for Explainable Complaint Detection. | Apoorva Singh, Raghav Jain, Prince Jha, Sriparna Saha |
| 2023 | CIKM | Investigating the Impact of Multimodality and External Knowledge in Aspect-level Complaint and Sentiment Analysis. | Apoorva Singh, Apoorv Verma, Raghav Jain, Sriparna Saha |
| 2023 | ECAI | T-VAKS: A Tutoring-Based Multimodal Dialog System via Knowledge Selection. | Raghav Jain, Tulika Saha, Sriparna Saha |
| 2023 | EMNLP | 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 |
| 2023 | EMNLP | Can you Summarize my learnings? Towards Perspective-based Educational Dialogue Summarization. | Raghav Jain, Tulika Saha, Jhagrut Lalwani, Sriparna Saha |
| 2023 | EMNLP | GenEx: A Commonsense-aware Unified Generative Framework for Explainable Cyberbullying Detection. | Krishanu Maity, Raghav Jain, Prince Jha, Sriparna Saha, Pushpak Bhattacharyya |
| 2023 | ICDAR | "Explain Thyself Bully": Sentiment Aided Cyberbullying Detection with Explanation. | Krishanu Maity, Prince Jha, Raghav Jain, Sriparna Saha, Pushpak Bhattacharyya |
| 2023 | IJCNLP | Reimagining Complaint Analysis: Adopting Seq2Path for a Generative Text-to-Text Framework. | Apoorva Singh, Raghav Jain, Sriparna Saha |
| 2023 | IJCNN | Generative Models vs Discriminative Models: Which Performs Better in Detecting Cyberbullying in Memes? | Raghav Jain, Krishanu Maity, Prince Jha, Sriparna Saha |
| 2023 | PAKDD | Let the Model Make Financial Senses: A Text2Text Generative Approach for Financial Complaint Identification. | Sarmistha Das, Apoorva Singh, Raghav Jain, Sriparna Saha, Alka Maurya |
| 2022 | ECIR | WIDAR - Weighted Input Document Augmented ROUGE. | Raghav Jain, Vaibhav Mavi, Anubhav Jangra, Sriparna Saha |
| 2022 | IJCNN | Domain Infused Conversational Response Generation for Tutoring based Virtual Agent. | Raghav Jain, Tulika Saha, Souhitya Chakraborty, Sriparna Saha |
| 2020 | WACV | 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 |