Raghav Gupta

Raghav Gupta

I received my master's (2017) and bachelor's (2015) degrees in computer science from Stanford and IIT Bombay respectively. At Google, I work on deep learning for task-oriented dialogue systems, focusing on spoken language understanding, efficient on-device models and zero-shot learning from minimal data.
Authored Publications
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    Google
Conversational Recommendation as Retrieval: A Simple, Strong Baseline
Renat Aksitov
Simral Chaudhary
Abhinav Rastogi
5th Workshop on NLP for Conversational AI (2023)
SGD-X: A Benchmark for Robust Generalization in Schema-Guided Dialogue Systems
Abhinav Kumar Rastogi
Bin Zhang
Yonghui Wu
AAAI Conference on Artificial Intelligence, Association for the Advancement of Artificial Intelligence (2022)
MultiWOZ 2.2 : A Dialogue Dataset with Additional Annotation Corrections and State Tracking Baselines
Xiaoxue Zang
Abhinav Rastogi
Srinivas Sunkara
Jianguo Zhang
Proceedings of the 2nd Workshop on Natural Language Processing for Conversational AI (2020), pp. 109-117
Schema-Guided Dialogue State Tracking Task at DSTC8
Abhinav Rastogi
Xiaoxue Zang
Srinivas Kumar Sunkara
Pranav Khaitan
AAAI Dialog System Technology Challenges Workshop (2020) (to appear)
Towards Scalable Multi-domain Conversational Agents: The Schema-Guided Dialogue Dataset
Abhinav Rastogi
Xiaoxue Zang
Srinivas Kumar Sunkara
Pranav Khaitan
arXiv preprint arXiv:1909.05855 (2019)
Robust Zero-Shot Cross-Domain Slot Filling with Example Values
Darsh J Shah
Amir Ali Fayazi
Dilek Hakkani-Tur
Proceedings of ACL, 2019