| 2026 | SIGdial | Enhancing Operational Safety via Agentic Dialogue Hazard Identification Analysis. | Sanjay Das, Ran Elgedawy, Ethan Seefried, Ryan Burchfield, Tirthankar Ghosal |
| 2025 | EMNLP | Can Large Language Models Unlock Novel Scientific Research Ideas? | Sandeep Kumar, Tirthankar Ghosal, Vinayak Goyal, Asif Ekbal |
| 2025 | NAACL | MixRevDetect: Towards Detecting AI-Generated Content in Hybrid Peer Reviews. | Sandeep Kumar, Samarth Garg, Sagnik Sengupta, Tirthankar Ghosal, Asif Ekbal |
| 2025 | SC | Compute4Biology: Taking Stock of High Performance Computing Needs for Foundation Models in Biological Sciences. | Pratik Dutta, Tirthankar Ghosal |
| 2025 | SC | AI Agents for Enabling Autonomous Experiments at ORNL's HPC and Manufacturing User Facilities. | Daniel Rosendo, Stephen DeWitt, Renan Souza, Phillipe Austria, Tirthankar Ghosal, Marshall T. McDonnell, Ross Miller, Tyler J. Skluzacek, James Haley, Bruno Turcksin, Jesse McGaha, Benjamin Mintz, Feiyi Wang, Mallikarjun Shankar, Sarp Oral, Rafael Ferreira da Silva |
| 2024 | COLING | Longform Multimodal Lay Summarization of Scientific Papers: Towards Automatically Generating Science Blogs from Research Articles. | Sandeep Kumar, Guneet Singh Kohli, Tirthankar Ghosal, Asif Ekbal |
| 2024 | EMNLP | 'Quis custodiet ipsos custodes?' Who will watch the watchmen? On Detecting AI-generated peer-reviews. | Sandeep Kumar, Mohit Sahu, Vardhan Gacche, Tirthankar Ghosal, Asif Ekbal |
| 2024 | SC | AstroMLab 2: AstroLLaMA-2-70B Model and Benchmarking Specialised LLMs for Astronomy. | Rui Pan, Tuan Dung Nguyen, Hardik Arora, Alberto Accomazzi, Tirthankar Ghosal, Yuan-Sen Ting |
| 2023 | EMNLP | When Reviewers Lock Horns: Finding Disagreements in Scientific Peer Reviews. | Sandeep Kumar, Tirthankar Ghosal, Asif Ekbal |
| 2023 | INLG | Overview of the Second Shared Task on Automatic Minuting (AutoMin) at INLG 2023. | Tirthankar Ghosal, Ondrej Bojar, Marie Hledkov, Tom Kocmi, Anna Nedoluzhko |
| 2022 | AAAI | RerrFact: Reduced Evidence Retrieval Representations for Scientific Claim Verification. | Ashish Rana, Deepanshu Khanna, Tirthankar Ghosal, Muskaan Singh, Harpreet Singh, Prashant Singh Rana |
| 2022 | COLING | Overview of the Third Workshop on Scholarly Document Processing. | Arman Cohan, Guy Feigenblat, Dayne Freitag, Tirthankar Ghosal, Drahomira Herrmannova, Petr Knoth, Kyle Lo, Philipp Mayr, Michal Shmueli-Scheuer, Anita de Waard, Lucy Lu Wang |
| 2022 | COLING | Overview of the First Shared Task on Multi Perspective Scientific Document Summarization (MuP). | Arman Cohan, Guy Feigenblat, Tirthankar Ghosal, Michal Shmueli-Scheuer |
| 2022 | COLING | An Extractive-Abstractive Approach for Multi-document Summarization of Scientific Articles for Literature Review. | Kartik Shinde, Trinita Roy, Tirthankar Ghosal |
| 2022 | DAS | How Confident Was Your Reviewer? Estimating Reviewer Confidence from Peer Review Texts. | Prabhat Kumar Bharti, Tirthankar Ghosal, Mayank Agrawal, Asif Ekbal |
| 2022 | IJCNLP | MMM: An Emotion and Novelty-aware Approach for Multilingual Multimodal Misinformation Detection. | Vipin Gupta, Rina Kumari, Nischal Ashok, Tirthankar Ghosal, Asif Ekbal |
| 2022 | IJCNLP | The lack of theory is painful: Modeling Harshness in Peer Review Comments. | Rajeev Verma, Rajarshi Roychoudhury, Tirthankar Ghosal |
| 2022 | LREC | ELITR Minuting Corpus: A Novel Dataset for Automatic Minuting from Multi-Party Meetings in English and Czech. | Anna Nedoluzhko, Muskaan Singh, Marie Hledkov, Tirthankar Ghosal, Ondrej Bojar |
| 2022 | PACLIC | Novelty Detection in Community Question Answering Forums. | Tirthankar Ghosal, Vignesh Edithal, Tanik Saikh, Saprativa Bhattacharjee, Asif Ekbal, Pushpak Bhattacharyya |
| 2022 | PACLIC | Automatic Minuting: A Pipeline Method for Generating Minutes from Multi-Party Meeting Proceedings. | Kartik Shinde, Tirthankar Ghosal, Muskaan Singh, Ondrej Bojar |
| 2021 | ICONIP | Attend to Your Review: A Deep Neural Network to Extract Aspects from Peer Reviews. | Rajeev Verma, Kartik Shinde, Hardik Arora, Tirthankar Ghosal |
| 2021 | IJCNN | A Multitask Learning Approach for Fake News Detection: Novelty, Emotion, and Sentiment Lend a Helping Hand. | Rina Kumari, Nischal Ashok, Tirthankar Ghosal, Asif Ekbal |
| 2021 | PACLIC | A Neuro-Symbolic Approach for Question Answering on Research Articles. | Komal Gupta, Tirthankar Ghosal, Asif Ekbal |
| 2021 | PACLIC | An Empirical Performance Analysis of State-of-the-Art Summarization Models for Automatic Minuting. | Muskaan Singh, Tirthankar Ghosal, Ondrej Bojar |
| 2020 | EMNLP | Overview of the First Workshop on Scholarly Document Processing (SDP). | Muthu Kumar Chandrasekaran, Guy Feigenblat, Dayne Freitag, Tirthankar Ghosal, Eduard H. Hovy, Philipp Mayr, Michal Shmueli-Scheuer, Anita de Waard |
| 2019 | ACL | DeepSentiPeer: Harnessing Sentiment in Review Texts to Recommend Peer Review Decisions. | Tirthankar Ghosal, Rajeev Verma, Asif Ekbal, Pushpak Bhattacharyya |
| 2019 | IJCNN | To Comprehend the New: On Measuring the Freshness of a Document. | Tirthankar Ghosal, Abhishek Shukla, Asif Ekbal, Pushpak Bhattacharyya |
| 2018 | COLING | Novelty Goes Deep. A Deep Neural Solution To Document Level Novelty Detection. | Tirthankar Ghosal, Vignesh Edithal, Asif Ekbal, Pushpak Bhattacharyya, George Tsatsaronis, Srinivasa Satya Sameer Kumar Chivukula |
| 2018 | LREC | TAP-DLND 1.0 : A Corpus for Document Level Novelty Detection. | Tirthankar Ghosal, Amitra Salam, Swati Tiwary, Asif Ekbal, Pushpak Bhattacharyya |