Anveshan: A Framework for Analysis of Multiple Annotators' Labeling Behavior. - Vikas Bhardwaj; Rebecca J. Passonneau; Ansaf Salleb-Aouissi; Nancy Ide (Linguistic Annotation Workshop, 2010)

Word Sense Annotation of Polysemous Words by Multiple Annotators. - Rebecca J. Passonneau; Ansaf Salleb-Aouissi; Vikas Bhardwaj; Nancy Ide (LREC, 2010)

Probabilistic User Modeling in the Presence of Drifting Concepts. - Vikas Bhardwaj; Ramaswamy Devarajan (PAKDD (1), 2010)

Multiplicity and word sense: evaluating and learning from multiply labeled word sense annotations. - Rebecca J. Passonneau; Vikas Bhardwaj; Ansaf Salleb-Aouissi; Nancy Ide (Lang. Resour. Evaluation, 2012)

A practical approach to dialogue response generation in closed domains. - Yichao Lu; Phillip Keung; Shaonan Zhang; Jason Sun; Vikas Bhardwaj (CoRR, 2017)

A neural interlingua for multilingual machine translation. - Yichao Lu; Phillip Keung; Faisal Ladhak; Vikas Bhardwaj; Shaonan Zhang; Jason Sun (WMT, 2018)

Adversarial Learning with Contextual Embeddings for Zero-resource Cross-lingual Classification and NER. - Phillip Keung; Yichao Lu; Vikas Bhardwaj (EMNLP/IJCNLP (1), 2019)

Goal-Oriented End-to-End Conversational Models with Profile Features in a Real-World Setting. - Yichao Lu; Manisha Srivastava; Jared Kramer; Heba Elfardy; Andrea Kahn; Song Wang 012; Vikas Bhardwaj (NAACL-HLT (2), 2019)

Best Practices for Data-Efficient Modeling in NLG: How to Train Production-Ready Neural Models with Less Data. - Ankit Arun; Soumya Batra; Vikas Bhardwaj; Ashwini Challa; Pinar Donmez; Peyman Heidari; Hakan Inan; Shashank Jain; Anuj Kumar; Shawn Mei; Karthik Mohan; Michael White 001 (COLING (Industry), 2020)

Don't Use English Dev: On the Zero-Shot Cross-Lingual Evaluation of Contextual Embeddings. - Phillip Keung; Yichao Lu; Julian Salazar; Vikas Bhardwaj (EMNLP (1), 2020)

Attentional Speech Recognition Models Misbehave on Out-of-domain Utterances. - Phillip Keung; Wei Niu; Yichao Lu; Julian Salazar; Vikas Bhardwaj (CoRR, 2020)

On the Evaluation of Contextual Embeddings for Zero-Shot Cross-Lingual Transfer Learning. - Phillip Keung; Yichao Lu; Julian Salazar; Vikas Bhardwaj (CoRR, 2020)

Building Adaptive Acceptability Classifiers for Neural NLG. - Soumya Batra; Shashank Jain; Peyman Heidari; Ankit Arun; Catharine Youngs; Xintong Li; Pinar Donmez; Shawn Mei; Shiunzu Kuo; Vikas Bhardwaj; Anuj Kumar; Michael White 001 (EMNLP (1), 2021)

Getting to Production with Few-shot Natural Language Generation Models. - Peyman Heidari; Arash Einolghozati; Shashank Jain; Soumya Batra; Lee Callender; Ankit Arun; Shawn Mei; Sonal Gupta; Pinar Donmez; Vikas Bhardwaj; Anuj Kumar; Michael White 001 (SIGDIAL, 2021)

Conversational Answer Generation and Factuality for Reading Comprehension Question-Answering. - Stan Peshterliev; Barlas Oguz; Debojeet Chatterjee; Hakan Inan; Vikas Bhardwaj (CoRR, 2021)

Lumos: Empowering Multimodal LLMs with Scene Text Recognition. - Ashish Shenoy; Yichao Lu; Srihari Jayakumar; Debojeet Chatterjee; Mohsen Moslehpour; Pierce Chuang; Abhay Harpale; Vikas Bhardwaj; Di Xu; Shicong Zhao; Longfang Zhao; Ankit Ramchandani; et al. (KDD, 2024)

EgoQR: Efficient QR Code Reading in Egocentric Settings. - Mohsen Moslehpour; Yichao Lu; Pierce Chuang; Ashish Shenoy; Debojeet Chatterjee; Abhay Harpale; Srihari Jayakumar; Vikas Bhardwaj; Seonghyeon Nam; Anuj Kumar (CoRR, 2024)