Harsh Trivedi
CV Google Scholar Semantic Scholar
I am a PhD student in computer science at Stony Brook University. I work in the Language Understanding and Reasoning Lab and am advised by Professor Niranjan Balasubramanian. My broad interests are Natural Language Processing and Machine Learning.
Publications
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Summarize-then-Answer: Generating Concise Explanations for Multi-hop Reading Comprehension
Naoya Inoue, Harsh Trivedi, Steven Sinha, Niranjan Balasubramanian, Kentaro Inui
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021
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IrEne-viz: Visualizing Energy Consumption of Transformer Models
Yash Kumar Lal, Reetu Singh, Harsh Trivedi, Qingqing Cao, Aruna Balasubramanian, Niranjan Balasubramanian
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021
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What Ingredients Make for an Effective Crowdsourcing Protocol for Difficult NLU Data Collection Tasks?
Nikita Nangia*, Saku Sugawara*, Harsh Trivedi, Alex Warstadt, Clara Vania, Samuel R. Bowman
Association for Computational Linguistics (ACL), 2021
[paper] [code] [bib]
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IrEne: Interpretable Energy Prediction for Transformers
Qingqing Cao, Yash Kumar Lal, Harsh Trivedi, Aruna Balasubramanian, Niranjan Balasubramanian
Association for Computational Linguistics (ACL), 2021
[paper] [code] [bib]
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Is Multihop QA in DiRe Condition? Measuring and Reducing Disconnected Reasoning
Harsh Trivedi, Niranjan Balasubramanian, Tushar Khot, Ashish Sabharwal
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020
[paper] [video] [code] [slides] [bib]
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DeFormer: Decomposing Pre-trained Transformers for Faster Question Answering
Qingqing Cao, Harsh Trivedi, Aruna Balasubramanian, Niranjan Balasubramanian
Association for Computational Linguistics (ACL), 2020
[paper] [video] [slides] [code] [bib]