Dinesh Raghu

According to our database, Dinesh Raghu authored at least 30 papers between 2012 and 2024.

Collaborative distances:

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

2024

Selective Self-Rehearsal: A Fine-Tuning Approach to Improve Generalization in Large Language Models.

Sonam Gupta, Yatin Nandwani, Asaf Yehudai, Mayank Mishra, Gaurav Pandey, Dinesh Raghu, Sachindra Joshi

CoRR, 2024

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, GP Bhargav, Maxwell Crouse, Chulaka Gunasekara, Shajith Ikbal, Sachin 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

CoRR, 2024

Matching papers and reviewers at large conferences.

Kevin Leyton-Brown, Mausam, Yatin Nandwani, Hedayat Zarkoob, Chris Cameron, Neil Newman, Dinesh Raghu

Artif. Intell., 2024

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, Ramón Fernandez Astudillo

Proceedings of the Forty-first International Conference on Machine Learning, 2024

MediTOD: An English Dialogue Dataset for Medical History Taking with Comprehensive Annotations.

Vishal Vivek Saley, Goonjan Saha, Rocktim Jyoti Das, Dinesh Raghu, Mausam

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Synergizing In-context Learning with Hints for End-to-end Task-oriented Dialog Systems.

Vishal Vivek Saley, Rocktim Jyoti Das, Dinesh Raghu, Mausam

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

HealthAlignSumm : Utilizing Alignment for Multimodal Summarization of Code-Mixed Healthcare Dialogues.

Akash Ghosh, Arkadeep Acharya, Sriparna Saha, Gaurav Pandey, Dinesh Raghu, Setu Sinha

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

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, 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

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024

2023

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

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

Joint Reasoning on Hybrid-knowledge sources for Task-Oriented Dialog.

Mayank Mishra, Danish Contractor, Dinesh Raghu

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

DKAF: KB Arbitration for Learning Task-Oriented Dialog Systems with Dialog-KB Inconsistencies.

Vishal Vivek Saley, Rocktim Jyoti Das, Dinesh Raghu, Mausam

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

End-to-End Deep Reinforcement Learning for Conversation Disentanglement.

Karan Bhukar, Harshit Kumar, Dinesh Raghu, Ajay Gupta

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Structural Constraints and Natural Language Inference for End-to-End Flowchart Grounded Dialog Response Generation.

Dinesh Raghu, Suraj Joshi, Sachindra Joshi, Mausam

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

Unsupervised Learning of KB Queries in Task-Oriented Dialogs.

Dinesh Raghu, Nikhil Gupta, Mausam

Trans. Assoc. Comput. Linguistics, 2021

End-to-End Learning of Flowchart Grounded Task-Oriented Dialogs.

Dinesh Raghu, Shantanu Agarwal, Sachindra Joshi, Mausam

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Constraint based Knowledge Base Distillation in End-to-End Task Oriented Dialogs.

Dinesh Raghu, Atishya Jain, Mausam, Sachindra Joshi

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

Unsupervised Learning of Interpretable Dialog Models.

Dhiraj Madan, Dinesh Raghu, Gaurav Pandey, Sachindra Joshi

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

Mask & Focus: Conversation Modelling by Learning Concepts.

Gaurav Pandey, Dinesh Raghu, Sachindra Joshi

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Multi-Level Memory for Task Oriented Dialogs.

Revanth Reddy, Danish Contractor, Dinesh Raghu, Sachindra Joshi

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Disentangling Language and Knowledge in Task-Oriented Dialogs.

Dinesh Raghu, Nikhil Gupta, Mausam

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

2018

Hierarchical Pointer Memory Network for Task Oriented Dialogue.

Dinesh Raghu, Nikhil Gupta, Mausam

CoRR, 2018

Inferring Temporal Knowledge for Near-Periodic Recurrent Events.

Dinesh Raghu, Surag Nair, Mausam

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017

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

Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

2015

A statistical approach for Non-Sentential Utterance Resolution for Interactive QA System.

Dinesh Raghu, Sathish Indurthi, Jitendra Ajmera, Sachindra Joshi

Proceedings of the SIGDIAL 2015 Conference, 2015

2013

Semi-Supervised Answer Extraction from Discussion Forums.

Rose Catherine, Rashmi Gangadharaiah, Karthik Visweswariah, Dinesh Raghu

Proceedings of the Sixth International Joint Conference on Natural Language Processing, 2013

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

Proceedings of the Service-Oriented Computing - 11th International Conference, 2013

2012

Domain adaptive answer extraction for discussion boards.

Ankur Gandhe, Dinesh Raghu, Rose Catherine

Proceedings of the 21st World Wide Web Conference, 2012

Retrieving similar discussion forum threads: a structure based approach.

Amit Singh, Deepak P, Dinesh Raghu

Proceedings of the 35th International ACM SIGIR conference on research and development in Information Retrieval, 2012

Does Similarity Matter? The Case of Answer Extraction from Technical Discussion Forums.

Rose Catherine, Amit Singh, Rashmi Gangadharaiah, Dinesh Raghu, Karthik Visweswariah

Proceedings of the COLING 2012, 2012