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2020 – today
- 2024
[j2]Kevin Leyton-Brown, Mausam, Yatin Nandwani
, Hedayat Zarkoob, Chris Cameron, Neil Newman, Dinesh Raghu:
Matching papers and reviewers at large conferences. Artif. Intell. 331: 104119 (2024)- [c25]Saeel Sandeep Nachane, Ojas Gramopadhye, Prateek Chanda, Ganesh Ramakrishnan, Kshitij Sharad Jadhav, Yatin Nandwani, Dinesh Raghu, Sachindra Joshi:
Few shot chain-of-thought driven reasoning to prompt LLMs for open-ended medical question answering. EMNLP (Findings) 2024: 542-573 - [c24]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:
Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks. EMNLP (Industry Track) 2024: 1131-1139 - [c23]Vishal Vivek Saley, Rocktim Jyoti Das, Dinesh Raghu, Mausam:
Synergizing In-context Learning with Hints for End-to-end Task-oriented Dialog Systems. EMNLP 2024: 5596-5612 - [c22]Akash Ghosh, Arkadeep Acharya, Sriparna Saha, Gaurav Pandey, Dinesh Raghu, Setu Sinha:
HealthAlignSumm : Utilizing Alignment for Multimodal Summarization of Code-Mixed Healthcare Dialogues. EMNLP (Findings) 2024: 11546-11560 - [c21]Vishal Vivek Saley, Goonjan Saha, Rocktim Jyoti Das, Dinesh Raghu, Mausam:
MediTOD: An English Dialogue Dataset for Medical History Taking with Comprehensive Annotations. EMNLP 2024: 16843-16877 - [c20]Gaurav Pandey, Yatin Nandwani, Tahira Naseem, Mayank Mishra, Guangxuan Xu, Dinesh Raghu, Sachindra Joshi, Asim Munawar, Ramón Fernandez Astudillo:
BRAIn: Bayesian Reward-conditioned Amortized Inference for natural language generation from feedback. ICML 2024 - [i17]Gaurav Pandey, Yatin Nandwani, Tahira Naseem, Mayank Mishra, Guangxuan Xu, Dinesh Raghu, Sachindra Joshi, Asim Munawar, Ramón Fernandez Astudillo:
BRAIn: Bayesian Reward-conditioned Amortized Inference for natural language generation from feedback. CoRR abs/2402.02479 (2024) - [i16]Ojas Gramopadhye, Saeel Sandeep Nachane, Prateek Chanda, Ganesh Ramakrishnan, Kshitij Sharad Jadhav, Yatin Nandwani, Dinesh Raghu, Sachindra Joshi:
Few shot chain-of-thought driven reasoning to prompt LLMs for open ended medical question answering. CoRR abs/2403.04890 (2024) - [i15]Vishal Vivek Saley, Rocktim Jyoti Das, Dinesh Raghu, Mausam:
Synergizing In-context Learning with Hints for End-to-end Task-oriented Dialog Systems. CoRR abs/2405.15585 (2024) - [i14]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:
Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks. CoRR abs/2407.00121 (2024) - [i13]Sonam Gupta, Yatin Nandwani, Asaf Yehudai, Mayank Mishra, Gaurav Pandey, Dinesh Raghu, Sachindra Joshi:
Selective Self-Rehearsal: A Fine-Tuning Approach to Improve Generalization in Large Language Models. CoRR abs/2409.04787 (2024) - [i12]Vishal Vivek Saley, Goonjan Saha, Rocktim Jyoti Das, Dinesh Raghu, Mausam:
MediTOD: An English Dialogue Dataset for Medical History Taking with Comprehensive Annotations. CoRR abs/2410.14204 (2024) - 2023
- [c19]Karan Bhukar, Harshit Kumar, Dinesh Raghu, Ajay Gupta:
End-to-End Deep Reinforcement Learning for Conversation Disentanglement. AAAI 2023: 12571-12579 - [c18]Vishal Vivek Saley, Rocktim Jyoti Das, Dinesh Raghu, Mausam:
DKAF: KB Arbitration for Learning Task-Oriented Dialog Systems with Dialog-KB Inconsistencies. ACL (Findings) 2023: 11708-11730 - [c17]Mayank Mishra, Danish Contractor, Dinesh Raghu:
Joint Reasoning on Hybrid-knowledge sources for Task-Oriented Dialog. EACL (Findings) 2023: 1733-1742 - [c16]Yatin Nandwani, Vineet Kumar, Dinesh Raghu, Sachindra Joshi, Luis A. Lastras:
Pointwise Mutual Information Based Metric and Decoding Strategy for Faithful Generation in Document Grounded Dialogs. EMNLP 2023: 10335-10347 - [i11]Yatin Nandwani, Vineet Kumar, Dinesh Raghu, Sachindra Joshi, Luis A. Lastras:
Pointwise Mutual Information Based Metric and Decoding Strategy for Faithful Generation in Document Grounded Dialogs. CoRR abs/2305.12191 (2023) - [i10]Vishal Vivek Saley, Rocktim Jyoti Das, Dinesh Raghu, Mausam:
DKAF: KB Arbitration for Learning Task-Oriented Dialog Systems with Dialog-KB Inconsistencies. CoRR abs/2305.16697 (2023) - 2022
- [c15]Dinesh Raghu, Suraj Joshi, Sachindra Joshi, Mausam:
Structural Constraints and Natural Language Inference for End-to-End Flowchart Grounded Dialog Response Generation. EMNLP 2022: 10763-10774 - [i9]Kevin Leyton-Brown, Mausam, Yatin Nandwani, Hedayat Zarkoob, Chris Cameron, Neil Newman, Dinesh Raghu:
Matching Papers and Reviewers at Large Conferences. CoRR abs/2202.12273 (2022) - [i8]Mayank Mishra, Danish Contractor, Dinesh Raghu:
Joint Reasoning on Hybrid-knowledge sources for Task-Oriented Dialog. CoRR abs/2210.07295 (2022) - 2021
- [j1]Dinesh Raghu, Nikhil Gupta, Mausam:
Unsupervised Learning of KB Queries in Task-Oriented Dialogs. Trans. Assoc. Comput. Linguistics 9: 374-390 (2021) - [c14]Dinesh Raghu, Atishya Jain, Mausam, Sachindra Joshi:
Constraint based Knowledge Base Distillation in End-to-End Task Oriented Dialogs. ACL/IJCNLP (Findings) 2021: 5051-5061 - [c13]Dinesh Raghu, Shantanu Agarwal, Sachindra Joshi, Mausam:
End-to-End Learning of Flowchart Grounded Task-Oriented Dialogs. EMNLP (1) 2021: 4348-4366 - [i7]Dinesh Raghu, Shantanu Agarwal, Sachindra Joshi, Mausam:
End-to-End Learning of Flowchart Grounded Task-Oriented Dialogs. CoRR abs/2109.07263 (2021) - [i6]Dinesh Raghu, Atishya Jain, Mausam, Sachindra Joshi:
Constraint based Knowledge Base Distillation in End-to-End Task Oriented Dialogs. CoRR abs/2109.07396 (2021) - 2020
- [c12]Gaurav Pandey, Dinesh Raghu, Sachindra Joshi:
Mask & Focus: Conversation Modelling by Learning Concepts. AAAI 2020: 8584-8591 - [c11]Dhiraj Madan, Dinesh Raghu, Gaurav Pandey, Sachindra Joshi:
Unsupervised Learning of Interpretable Dialog Models. ECAI 2020: 2101-2107 - [i5]Gaurav Pandey, Dinesh Raghu, Sachindra Joshi:
Mask & Focus: Conversation Modelling by Learning Concepts. CoRR abs/2003.04976 (2020) - [i4]Dinesh Raghu, Nikhil Gupta, Mausam:
Unsupervised Learning of KB Queries in Task Oriented Dialogs. CoRR abs/2005.00123 (2020)
2010 – 2019
- 2019
- [c10]Dinesh Raghu, Nikhil Gupta, Mausam:
Disentangling Language and Knowledge in Task-Oriented Dialogs. NAACL-HLT (1) 2019: 1239-1255 - [c9]Revanth Reddy, Danish Contractor, Dinesh Raghu, Sachindra Joshi:
Multi-Level Memory for Task Oriented Dialogs. NAACL-HLT (1) 2019: 3744-3754 - 2018
- [c8]Dinesh Raghu, Surag Nair, Mausam:
Inferring Temporal Knowledge for Near-Periodic Recurrent Events. IJCAI 2018: 4301-4308 - [i3]Dinesh Raghu, Nikhil Gupta, Mausam:
Hierarchical Pointer Memory Network for Task Oriented Dialogue. CoRR abs/1805.01216 (2018) - [i2]Revanth Reddy, Danish Contractor, Dinesh Raghu, Sachindra Joshi:
Multi-level Memory for Task Oriented Dialogs. CoRR abs/1810.10647 (2018) - [i1]Dhiraj Madan, Dinesh Raghu, Gaurav Pandey, Sachindra Joshi:
Unsupervised Learning of Interpretable Dialog Models. CoRR abs/1811.01012 (2018) - 2017
- [c7]Sathish Reddy, Dinesh Raghu, Mitesh M. Khapra, Sachindra Joshi:
Generating Natural Language Question-Answer Pairs from a Knowledge Graph Using a RNN Based Question Generation Model. EACL (1) 2017: 376-385 - 2015
- [c6]Dinesh Raghu, Sathish Indurthi, Jitendra Ajmera, Sachindra Joshi:
A statistical approach for Non-Sentential Utterance Resolution for Interactive QA System. SIGDIAL Conference 2015: 335-343 - 2013
- [c5]Debdoot Mukherjee, Jeanette Blomberg, Rama Akkiraju, Dinesh Raghu, Monika Gupta, Sugata Ghosal, Mu Qiao, Taiga Nakamura:
A Case Based Approach to Serve Information Needs in Knowledge Intensive Processes. ICSOC 2013: 541-549 - [c4]Rose Catherine, Rashmi Gangadharaiah, Karthik Visweswariah, Dinesh Raghu:
Semi-Supervised Answer Extraction from Discussion Forums. IJCNLP 2013: 1-9 - 2012
- [c3]Rose Catherine, Amit Singh, Rashmi Gangadharaiah, Dinesh Raghu, Karthik Visweswariah:
Does Similarity Matter? The Case of Answer Extraction from Technical Discussion Forums. COLING (Posters) 2012: 175-184 - [c2]Amit Singh, Deepak P, Dinesh Raghu:
Retrieving similar discussion forum threads: a structure based approach. SIGIR 2012: 135-144 - [c1]Ankur Gandhe, Dinesh Raghu, Rose Catherine:
Domain adaptive answer extraction for discussion boards. WWW (Companion Volume) 2012: 501-502
Coauthor Index
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