| 2025 | NAACL | Systematic Knowledge Injection into Large Language Models via Diverse Augmentation for Domain-Specific RAG. | Kushagra Bhushan, Yatin Nandwani, Dinesh Khandelwal, Sonam Gupta, Gaurav Pandey, Dinesh Raghu, Sachindra Joshi |
| 2025 | NAACL | Selective Self-to-Supervised Fine-Tuning for Generalization in Large Language Models. | Sonam Gupta, Yatin Nandwani, Asaf Yehudai, Dinesh Khandelwal, Dinesh Raghu, Sachindra Joshi |
| 2024 | EMNLP | Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks. | Ibrahim Abdelaziz, Kinjal Basu, Mayank Agarwal, Sadhana Kumaravel, Matthew Stallone, Rameswar Panda, Yara Rizk, G. P. Shrivatsa Bhargav, Maxwell Crouse, R. Chulaka Gunasekara, Shajith Ikbal, Sachindra Joshi, Hima Karanam, Vineet Kumar, Asim Munawar, Sumit Neelam, Dinesh Raghu, Udit Sharma, Adriana Meza Soria, Dheeraj Sreedhar, Praveen Venkateswaran, Merve Unuvar, David Cox, Salim Roukos, Luis A. Lastras, Pavan Kapanipathi |
| 2024 | EMNLP | HealthAlignSumm : Utilizing Alignment for Multimodal Summarization of Code-Mixed Healthcare Dialogues. | Akash Ghosh, Arkadeep Acharya, Sriparna Saha, Gaurav Pandey, Dinesh Raghu, Setu Sinha |
| 2024 | EMNLP | Few shot chain-of-thought driven reasoning to prompt LLMs for open-ended medical question answering. | Saeel Sandeep Nachane, Ojas Gramopadhye, Prateek Chanda, Ganesh Ramakrishnan, Kshitij Sharad Jadhav, Yatin Nandwani, Dinesh Raghu, Sachindra Joshi |
| 2024 | EMNLP | Synergizing In-context Learning with Hints for End-to-end Task-oriented Dialog Systems. | Vishal Vivek Saley, Rocktim Jyoti Das, Dinesh Raghu, Mausam |
| 2024 | EMNLP | MediTOD: An English Dialogue Dataset for Medical History Taking with Comprehensive Annotations. | Vishal Vivek Saley, Goonjan Saha, Rocktim Jyoti Das, Dinesh Raghu, Mausam |
| 2024 | ICML | BRAIn: Bayesian Reward-conditioned Amortized Inference for natural language generation from feedback. | Gaurav Pandey, Yatin Nandwani, Tahira Naseem, Mayank Mishra, Guangxuan Xu, Dinesh Raghu, Sachindra Joshi, Asim Munawar, Ramn Fernandez Astudillo |
| 2023 | AAAI | End-to-End Deep Reinforcement Learning for Conversation Disentanglement. | Karan Bhukar, Harshit Kumar, Dinesh Raghu, Ajay Gupta |
| 2023 | ACL | DKAF: KB Arbitration for Learning Task-Oriented Dialog Systems with Dialog-KB Inconsistencies. | Vishal Vivek Saley, Rocktim Jyoti Das, Dinesh Raghu, Mausam |
| 2023 | EACL | Joint Reasoning on Hybrid-knowledge sources for Task-Oriented Dialog. | Mayank Mishra, Danish Contractor, Dinesh Raghu |
| 2023 | EMNLP | Pointwise Mutual Information Based Metric and Decoding Strategy for Faithful Generation in Document Grounded Dialogs. | Yatin Nandwani, Vineet Kumar, Dinesh Raghu, Sachindra Joshi, Luis A. Lastras |
| 2022 | EMNLP | Structural Constraints and Natural Language Inference for End-to-End Flowchart Grounded Dialog Response Generation. | Dinesh Raghu, Suraj Joshi, Sachindra Joshi, Mausam |
| 2021 | ACL | Constraint based Knowledge Base Distillation in End-to-End Task Oriented Dialogs. | Dinesh Raghu, Atishya Jain, Mausam, Sachindra Joshi |
| 2021 | EMNLP | End-to-End Learning of Flowchart Grounded Task-Oriented Dialogs. | Dinesh Raghu, Shantanu Agarwal, Sachindra Joshi, Mausam |
| 2020 | AAAI | Mask & Focus: Conversation Modelling by Learning Concepts. | Gaurav Pandey, Dinesh Raghu, Sachindra Joshi |
| 2020 | ECAI | Unsupervised Learning of Interpretable Dialog Models. | Dhiraj Madan, Dinesh Raghu, Gaurav Pandey, Sachindra Joshi |
| 2019 | NAACL | Disentangling Language and Knowledge in Task-Oriented Dialogs. | Dinesh Raghu, Nikhil Gupta, Mausam |
| 2019 | NAACL | Multi-Level Memory for Task Oriented Dialogs. | Revanth Reddy, Danish Contractor, Dinesh Raghu, Sachindra Joshi |
| 2018 | IJCAI | Inferring Temporal Knowledge for Near-Periodic Recurrent Events. | Dinesh Raghu, Surag Nair, Mausam |
| 2017 | EACL | Generating Natural Language Question-Answer Pairs from a Knowledge Graph Using a RNN Based Question Generation Model. | Sathish Reddy, Dinesh Raghu, Mitesh M. Khapra, Sachindra Joshi |
| 2015 | SIGdial | A statistical approach for Non-Sentential Utterance Resolution for Interactive QA System. | Dinesh Raghu, Sathish Indurthi, Jitendra Ajmera, Sachindra Joshi |
| 2013 | IJCNLP | Semi-Supervised Answer Extraction from Discussion Forums. | Rose Catherine, Rashmi Gangadharaiah, Karthik Visweswariah, Dinesh Raghu |
| 2013 | ICSOC | A Case Based Approach to Serve Information Needs in Knowledge Intensive Processes. | Debdoot Mukherjee, Jeanette Blomberg, Rama Akkiraju, Dinesh Raghu, Monika Gupta, Sugata Ghosal, Mu Qiao, Taiga Nakamura |
| 2012 | COLING | Does Similarity Matter? The Case of Answer Extraction from Technical Discussion Forums. | Rose Catherine, Amit Singh, Rashmi Gangadharaiah, Dinesh Raghu, Karthik Visweswariah |
| 2012 | WWW | Domain adaptive answer extraction for discussion boards. | Ankur Gandhe, Dinesh Raghu, Rose Catherine |
| 2012 | SIGIR | Retrieving similar discussion forum threads: a structure based approach. | Amit Singh, Deepak P, Dinesh Raghu |