Vikas Yadav

2024

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PAG-LLM: Paraphrase and Aggregate with Large Language Models for Minimizing Intent Classification Errors.
Vikas Yadav|Zheng Tang|Vijay Srinivasan
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14-18, 2024

2021

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Cheap and Good? Simple and Effective Data Augmentation for Low Resource Machine Reading.
Hoang Van|Vikas Yadav|Mihai Surdeanu
SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021

2020

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Having Your Cake and Eating it Too: Training Neural Retrieval for Language Inference without Losing Lexical Match.
Vikas Yadav|Steven Bethard|Mihai Surdeanu
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, SIGIR 2020, Virtual Event, China, July 25-30, 2020

2018

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Sanity Check: A Strong Alignment and Information Retrieval Baseline for Question Answering.
Vikas Yadav|Rebecca Sharp|Mihai Surdeanu
The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, SIGIR 2018, Ann Arbor, MI, USA, July 08-12, 2018