Vikas Bhardwaj

According to our database1, Vikas Bhardwaj authored at least 16 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

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Bibliography

2024
Lumos : Empowering Multimodal LLMs with Scene Text Recognition.
CoRR, 2024

2021
Conversational Answer Generation and Factuality for Reading Comprehension Question-Answering.
CoRR, 2021

Getting to Production with Few-shot Natural Language Generation Models.
Proceedings of the 22nd Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2021

Building Adaptive Acceptability Classifiers for Neural NLG.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020
On the Evaluation of Contextual Embeddings for Zero-Shot Cross-Lingual Transfer Learning.
CoRR, 2020

Attentional Speech Recognition Models Misbehave on Out-of-domain Utterances.
CoRR, 2020

Don't Use English Dev: On the Zero-Shot Cross-Lingual Evaluation of Contextual Embeddings.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Best Practices for Data-Efficient Modeling in NLG: How to Train Production-Ready Neural Models with Less Data.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019
Goal-Oriented End-to-End Conversational Models with Profile Features in a Real-World Setting.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Adversarial Learning with Contextual Embeddings for Zero-resource Cross-lingual Classification and NER.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018
A neural interlingua for multilingual machine translation.
Proceedings of the Third Conference on Machine Translation: Research Papers, 2018

2017
A practical approach to dialogue response generation in closed domains.
CoRR, 2017

2012
Multiplicity and word sense: evaluating and learning from multiply labeled word sense annotations.
Lang. Resour. Evaluation, 2012

2010
Probabilistic User Modeling in the Presence of Drifting Concepts.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010

Word Sense Annotation of Polysemous Words by Multiple Annotators.
Proceedings of the International Conference on Language Resources and Evaluation, 2010

Anveshan: A Framework for Analysis of Multiple Annotators' Labeling Behavior.
Proceedings of the Fourth Linguistic Annotation Workshop, 2010


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