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Gaurav Pandey 0001
Person information
- affiliation: IBM Research AI, New Delhi, India
- affiliation (former): Indian Institute of Science, Department of Computer Science and Automation, India
Other persons with the same name
- Gaurav Pandey — disambiguation page
- Gaurav Pandey 0002 — University of California Berkeley, Berkeley, CA, USA (and 1 more)
- Gaurav Pandey 0003
— University of Jyväskylä, Finland
- Gaurav Pandey 0004
- Gaurav Pandey 0005 — Toyohashi University of Technology, Japan
- Gaurav Pandey 0006 — Carl von Ossietzky Universität, Oldenburg, Germany
- Gaurav Pandey 0007 — Icahn School of Medicine at Mount Sinai, New York, NY, USA
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2020 – today
- 2025
- [c19]Kushagra Bhushan, Yatin Nandwani, Dinesh Khandelwal, Sonam Gupta, Gaurav Pandey, Dinesh Raghu, Sachindra Joshi:
Systematic Knowledge Injection into Large Language Models via Diverse Augmentation for Domain-Specific RAG. NAACL (Findings) 2025: 5922-5943 - [i16]Kushagra Bhushan, Yatin Nandwani, Dinesh Khandelwal, Sonam Gupta, Gaurav Pandey, Dinesh Raghu, Sachindra Joshi:
Systematic Knowledge Injection into Large Language Models via Diverse Augmentation for Domain-Specific RAG. CoRR abs/2502.08356 (2025) - 2024
- [c18]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 - [c17]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 - [i15]Gaurav Pandey, Yatin Nandwani
BRAIn: Bayesian Reward-conditioned Amortized Inference for natural language generation from feedback. CoRR abs/2402.02479 (2024) - [i14]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) - 2022
- [c16]Ella Rabinovich, Matan Vetzler, David Boaz, Vineet Kumar, Gaurav Pandey, Ateret Anaby-Tavor:
Gaining Insights into Unrecognized User Utterances in Task-Oriented Dialog Systems. EMNLP (Industry Track) 2022: 218-225 - [c15]Gaurav Pandey, Danish Contractor, Sachindra Joshi:
Mix-and-Match: Scalable Dialog Response Retrieval using Gaussian Mixture Embeddings. EMNLP (Findings) 2022: 3273-3287 - [c14]Mayank Mishra
Variational Learning for Unsupervised Knowledge Grounded Dialogs. IJCAI 2022: 4303-4309 - [i13]Gaurav Pandey, Danish Contractor, Sachindra Joshi:
Mix-and-Match: Scalable Dialog Response Retrieval using Gaussian Mixture Embeddings. CoRR abs/2204.02710 (2022) - [i12]Ella Rabinovich, Matan Vetzler, David Boaz, Vineet Kumar, Gaurav Pandey, Ateret Anaby-Tavor:
Gaining Insights into Unrecognized User Utterances in Task-Oriented Dialog Systems. CoRR abs/2204.05158 (2022) - 2021
- [c13]Biswesh Mohapatra, Gaurav Pandey, Danish Contractor, Sachindra Joshi:
Simulated Chats for Building Dialog Systems: Learning to Generate Conversations from Instructions. EMNLP (Findings) 2021: 1190-1203 - [i11]Mayank Mishra, Dhiraj Madan, Gaurav Pandey, Danish Contractor:
Variational Learning for Unsupervised Knowledge Grounded Dialogs. CoRR abs/2112.00653 (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
Unsupervised Learning of Interpretable Dialog Models. ECAI 2020: 2101-2107 - [c10]Kshitij Fadnis, Nathaniel Mills, Jatin Ganhotra, Haggai Roitman, Gaurav Pandey, Doron Cohen, Yosi Mass, Shai Erera, R. Chulaka Gunasekara, Danish Contractor, Siva Sankalp Patel, Q. Vera Liao, Sachindra Joshi, Luis A. Lastras, David Konopnicki:
Agent Assist through Conversation Analysis. EMNLP (Demos) 2020: 151-157 - [i10]Gaurav Pandey, Dinesh Raghu, Sachindra Joshi:
Mask & Focus: Conversation Modelling by Learning Concepts. CoRR abs/2003.04976 (2020) - [i9]Biswesh Mohapatra, Gaurav Pandey, Danish Contractor, Sachindra Joshi:
Simulated Chats for Task-oriented Dialog: Learning to Generate Conversations from Instructions. CoRR abs/2010.10216 (2020)
2010 – 2019
- 2019
- [c9]Gaurav Pandey, Ambedkar Dukkipati:
Learning to Segment With Image-Level Supervision. WACV 2019: 1856-1865 - 2018
- [c8]Gaurav Pandey, Danish Contractor, Vineet Kumar, Sachindra Joshi:
Exemplar Encoder-Decoder for Neural Conversation Generation. ACL (1) 2018: 1329-1338 - [i8]Dhiraj Madan, Dinesh Raghu, Gaurav Pandey, Sachindra Joshi:
Unsupervised Learning of Interpretable Dialog Models. CoRR abs/1811.01012 (2018) - 2017
- [c7]Gaurav Pandey, Ambedkar Dukkipati:
Unsupervised Feature Learning with Discriminative Encoder. ICDM 2017: 367-376 - [c6]Gaurav Pandey, Ambedkar Dukkipati:
Variational methods for conditional multimodal deep learning. IJCNN 2017: 308-315 - [i7]Gaurav Pandey, Ambedkar Dukkipati:
Discriminative Neural Topic Models. CoRR abs/1701.06796 (2017) - [i6]Gaurav Pandey, Ambedkar Dukkipati:
Unsupervised feature learning with discriminative encoder. CoRR abs/1709.00672 (2017) - 2016
- [c5]Gaurav Pandey, Ambedkar Dukkipati:
On collapsed representation of hierarchical Completely Random Measures. ICML 2016: 1605-1613 - [i5]Gaurav Pandey, Ambedkar Dukkipati:
Variational methods for Conditional Multimodal Learning: Generating Human Faces from Attributes. CoRR abs/1603.01801 (2016) - 2015
- [i4]Gaurav Pandey, Ambedkar Dukkipati:
Hierarchical Completely Random Measures for Mixed Membership Modelling. CoRR abs/1509.01817 (2015) - 2014
- [c4]Gaurav Pandey, Ambedkar Dukkipati:
To go deep or wide in learning? AISTATS 2014: 724-732 - [c3]Gaurav Pandey, Ambedkar Dukkipati:
Learning by Stretching Deep Networks. ICML 2014: 1719-1727 - [i3]Gaurav Pandey, Ambedkar Dukkipati:
To go deep or wide in learning? CoRR abs/1402.5634 (2014) - 2013
- [c2]Ambedkar Dukkipati, Gaurav Pandey, Debarghya Ghoshdastidar
Generative Maximum Entropy Learning for Multiclass Classification. ICDM 2013: 141-150 - [c1]Gaurav Pandey, Ambedkar Dukkipati:
Minimum description length principle for maximum entropy model selection. ISIT 2013: 1521-1525 - 2012
- [i2]Gaurav Pandey, Ambedkar Dukkipati:
Minimum Description Length Principle for Maximum Entropy Model Selection. CoRR abs/1204.6423 (2012) - [i1]D. M. V. Satya Sriram, Gaurav Pandey, Debarghya Ghoshdastidar, Ambedkar Dukkipati, M. Narasimha Murty:
Maximum Entropy with Maximum J-Divergence Discrimination for Text Classification. CoRR abs/1205.0651 (2012)
Coauthor Index
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