Bhavish Pahwa

Bhavish Pahwa

> Bhavish is a dynamic and focused, early career ML engineer with experience of more than a year in the professional tech industry. His research interests are in NLP for low-resource languages, developing efficient metrics for the automatic evaluation of texts generated by language models, and Computational Social Science with a particular focus on hate speech and abusive language detection on social media platforms. The prospect of building robust NLP systems to facilitate human-computer interactions motivates him. He is an active open source contributor and deeply motivated by the ideology to democratize AI research.

Posts by Collection

portfolio

publications

BpHigh@TamilNLP-ACL2022: Effects of Data Augmentation on Indic-Transformer based classifier for Abusive Comments Detection in Tamil

Published in Second Workshop on Speech and Language Technologies for Dravidian Languages co-located with ACL 2022, 2022

BpHigh@TamilNLP-ACL2022: Effects of Data Augmentation on Indic-Transformer based classifier for Abusive Comments Detection in Tamil

Recommended citation: Bhavish Pahwa. 2022. BpHigh@TamilNLP-ACL2022: Effects of Data Augmentation on Indic-Transformer based classifier for Abusive Comments Detection in Tamil. In Proceedings of the Second Workshop on Speech and Language Technologies for Dravidian Languages, pages 138–144, Dublin, Ireland. Association for Computational Linguistics. https://aclanthology.org/volumes/2022.dravidianlangtech-1/

BpHigh at SemEval-2023 Task 7: Can Fine-tuned Cross-encoders Outperform GPT-3.5 in NLI Tasks on Clinical Trial Data?

Published in Proceedings of the The 17th International Workshop on Semantic Evaluation (SemEval-2023), 2023

BpHigh at SemEval-2023 Task 7: Can Fine-tuned Cross-encoders Outperform GPT-3.5 in NLI Tasks on Clinical Trial Data?

Recommended citation: Bhavish Pahwa and Bhavika Pahwa. 2023. BpHigh at SemEval-2023 Task 7: Can Fine-tuned Cross-encoders Outperform GPT-3.5 in NLI Tasks on Clinical Trial Data?. In Proceedings of the The 17th International Workshop on Semantic Evaluation (SemEval-2023), pages 1936–1944, Toronto, Canada. Association for Computational Linguistics. https://aclanthology.org/2023.semeval-1.266/

talks

teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

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Teaching experience 2

Workshop, University 1, Department, 2015

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