Gaurav Pandey

36 papers A* 7A 3B 2Journal 17Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
Insertion Based Sequence Generation with Learnable Order Dynamics.
CoRR
Dhruvesh Patel, Benjamin Rozonoyer, Gaurav Pandey, Tahira Naseem, Ramón Fernandez Astudillo, Andrew McCallum
2025 — conf
Systematic Knowledge Injection into Large Language Models via Diverse Augmentation for Domain-Specific RAG.
NAACL (Findings)
Kushagra Bhushan, Yatin Nandwani, Dinesh Khandelwal, Sonam Gupta, Gaurav Pandey, Dinesh Raghu, Sachindra Joshi
2025 J jnl
Systematic Knowledge Injection into Large Language Models via Diverse Augmentation for Domain-Specific RAG.
CoRR
Kushagra Bhushan, Yatin Nandwani, Dinesh Khandelwal, Sonam Gupta, Gaurav Pandey, Dinesh Raghu, Sachindra Joshi
2024 A* conf
BRAIn: Bayesian Reward-conditioned Amortized Inference for natural language generation from feedback.
ICML
Gaurav Pandey, Yatin Nandwani, Tahira Naseem, Mayank Mishra, Guangxuan Xu, Dinesh Raghu, Sachindra Joshi, Asim Munawar, Ramón Fernandez Astudillo
2024 J jnl
BRAIn: Bayesian Reward-conditioned Amortized Inference for natural language generation from feedback.
CoRR
Gaurav Pandey, Yatin Nandwani, Tahira Naseem, Mayank Mishra, Guangxuan Xu, Dinesh Raghu, Sachindra Joshi, Asim Munawar, Ramón Fernandez Astudillo
2024 — conf
HealthAlignSumm : Utilizing Alignment for Multimodal Summarization of Code-Mixed Healthcare Dialogues.
EMNLP (Findings)
Akash Ghosh, Arkadeep Acharya, Sriparna Saha, Gaurav Pandey, Dinesh Raghu, Setu Sinha
2024 J jnl
Selective Self-Rehearsal: A Fine-Tuning Approach to Improve Generalization in Large Language Models.
CoRR
Sonam Gupta, Yatin Nandwani, Asaf Yehudai, Mayank Mishra, Gaurav Pandey, Dinesh Raghu, Sachindra Joshi
2022 — conf
Gaining Insights into Unrecognized User Utterances in Task-Oriented Dialog Systems.
EMNLP (Industry Track)
Ella Rabinovich, Matan Vetzler, David Boaz, Vineet Kumar, Gaurav Pandey, Ateret Anaby-Tavor
2022 J jnl
Gaining Insights into Unrecognized User Utterances in Task-Oriented Dialog Systems.
CoRR
Ella Rabinovich, Matan Vetzler, David Boaz, Vineet Kumar, Gaurav Pandey, Ateret Anaby-Tavor
2022 — conf
Mix-and-Match: Scalable Dialog Response Retrieval using Gaussian Mixture Embeddings.
EMNLP (Findings)
Gaurav Pandey, Danish Contractor, Sachindra Joshi
2022 J jnl
Mix-and-Match: Scalable Dialog Response Retrieval using Gaussian Mixture Embeddings.
CoRR
Gaurav Pandey, Danish Contractor, Sachindra Joshi
2022 A* conf
Variational Learning for Unsupervised Knowledge Grounded Dialogs.
IJCAI
Mayank Mishra, Dhiraj Madan, Gaurav Pandey, Danish Contractor
2021 — conf
Simulated Chats for Building Dialog Systems: Learning to Generate Conversations from Instructions.
EMNLP (Findings)
Biswesh Mohapatra, Gaurav Pandey, Danish Contractor, Sachindra Joshi
2021 J jnl
Variational Learning for Unsupervised Knowledge Grounded Dialogs.
CoRR
Mayank Mishra, Dhiraj Madan, Gaurav Pandey, Danish Contractor
2020 — conf
Agent Assist through Conversation Analysis.
EMNLP (Demos)
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
2020 A* conf
Mask & Focus: Conversation Modelling by Learning Concepts.
AAAI
Gaurav Pandey, Dinesh Raghu, Sachindra Joshi
2020 J jnl
Mask & Focus: Conversation Modelling by Learning Concepts.
CoRR
Gaurav Pandey, Dinesh Raghu, Sachindra Joshi
2020 J jnl
Simulated Chats for Task-oriented Dialog: Learning to Generate Conversations from Instructions.
CoRR
Biswesh Mohapatra, Gaurav Pandey, Danish Contractor, Sachindra Joshi
2020 A conf
Unsupervised Learning of Interpretable Dialog Models.
ECAI
Dhiraj Madan, Dinesh Raghu, Gaurav Pandey, Sachindra Joshi
2019 A conf
Learning to Segment With Image-Level Supervision.
WACV
Gaurav Pandey, Ambedkar Dukkipati
2018 — conf
Exemplar Encoder-Decoder for Neural Conversation Generation.
ACL (1)
Gaurav Pandey, Danish Contractor, Vineet Kumar, Sachindra Joshi
2018 J jnl
Unsupervised Learning of Interpretable Dialog Models.
CoRR
Dhiraj Madan, Dinesh Raghu, Gaurav Pandey, Sachindra Joshi
2017 J jnl
Discriminative Neural Topic Models.
CoRR
Gaurav Pandey, Ambedkar Dukkipati
2017 A* conf
Unsupervised Feature Learning with Discriminative Encoder.
ICDM
Gaurav Pandey, Ambedkar Dukkipati
2017 J jnl
Unsupervised feature learning with discriminative encoder.
CoRR
Gaurav Pandey, Ambedkar Dukkipati
2017 B conf
Variational methods for conditional multimodal deep learning.
IJCNN
Gaurav Pandey, Ambedkar Dukkipati
2016 A* conf
On collapsed representation of hierarchical Completely Random Measures.
ICML
Gaurav Pandey, Ambedkar Dukkipati
2016 J jnl
Variational methods for Conditional Multimodal Learning: Generating Human Faces from Attributes.
CoRR
Gaurav Pandey, Ambedkar Dukkipati
2015 J jnl
Hierarchical Completely Random Measures for Mixed Membership Modelling.
CoRR
Gaurav Pandey, Ambedkar Dukkipati
2014 A* conf
Learning by Stretching Deep Networks.
ICML
Gaurav Pandey, Ambedkar Dukkipati
2014 A conf
To go deep or wide in learning?
AISTATS
Gaurav Pandey, Ambedkar Dukkipati
2014 J jnl
To go deep or wide in learning?
CoRR
Gaurav Pandey, Ambedkar Dukkipati
2013 A* conf
Generative Maximum Entropy Learning for Multiclass Classification.
ICDM
Ambedkar Dukkipati, Gaurav Pandey, Debarghya Ghoshdastidar, Paramita Koley, D. M. V. Satya Sriram
2013 B conf
Minimum description length principle for maximum entropy model selection.
ISIT
Gaurav Pandey, Ambedkar Dukkipati
2012 J jnl
Maximum Entropy with Maximum J-Divergence Discrimination for Text Classification
CoRR
D. M. V. Satya Sriram, Gaurav Pandey, Debarghya Ghoshdastidar, Ambedkar Dukkipati, M. Narasimha Murty
2012 J jnl
Minimum Description Length Principle for Maximum Entropy Model Selection
CoRR
Gaurav Pandey, Ambedkar Dukkipati