Harsh Trivedi
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
-
Interleaving Retrieval with Chain-of-Thought Reasoning for Knowledge-Intensive Multi-Step Questions arxiv
Harsh Trivedi, Niranjan Balasubramanian, Tushar Khot, Ashish Sabharwal
[paper]
-
Decomposed Prompting: A Modular Approach for Solving Complex Tasks conference
Tushar Khot, Harsh Trivedi, Matthew Finlayson, Yao Fu, Kyle Richardson, Peter Clark, Ashish Sabharwal International Conference on Learning Representations (ICLR) 2023
[paper]
-
Two-Turn Debate Does Not Help Humans Answer Hard Reading-Comprehension Questions workshop best paper award
Alicia Parrish*, Harsh Trivedi*, Nikita Nangia, Vishakh Padmakumar, Jason Phang,
Amanpreet Singh Saimbhi, Samuel R. Bowman
NeurIPS ML Safety Workshop at (NeurIPS) 2022
[paper]
-
Teaching Broad Reasoning Skills for Multi-Step QA by Generating Hard Contexts conference
Harsh Trivedi, Niranjan Balasubramanian, Tushar Khot, Ashish Sabharwal
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022
[paper] [data]
-
MuSiQue: Multihop Questions via Single-hop Question Composition journal
Harsh Trivedi, Niranjan Balasubramanian, Tushar Khot, Ashish Sabharwal
Transactions of the Association for Computational Linguistics (TACL), to be presented in NAACL 2022
[paper] [code] [bib]
-
Single-Turn Debate Does Not Help Humans Answer Hard Reading-Comprehension Questions workshop
Alicia Parrish*, Harsh Trivedi*, Ethan Perez, Angelica Chen, Nikita Nangia, Jason Phang, Samuel R. Bowman
The First Workshop on Learning with Natural Language Supervision at ACL 2022
[paper] [data]
-
Summarize-then-Answer: Generating Concise Explanations for Multi-hop Reading Comprehension conference
Naoya Inoue, Harsh Trivedi, Steven Sinha, Niranjan Balasubramanian, Kentaro Inui
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021
[paper] [code] [bib]
-
IrEne-viz: Visualizing Energy Consumption of Transformer Models demo
Yash Kumar Lal, Reetu Singh, Harsh Trivedi, Qingqing Cao, Aruna Balasubramanian, Niranjan Balasubramanian
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021
[paper] [code] [bib]
-
What Ingredients Make for an Effective Crowdsourcing Protocol for Difficult NLU Data Collection Tasks? conference
Nikita Nangia*, Saku Sugawara*, Harsh Trivedi, Alex Warstadt, Clara Vania, Samuel R. Bowman
Association for Computational Linguistics (ACL), 2021
[paper] [code] [bib]
-
IrEne: Interpretable Energy Prediction for Transformers conference
Qingqing Cao, Yash Kumar Lal, Harsh Trivedi, Aruna Balasubramanian, Niranjan Balasubramanian
Association for Computational Linguistics (ACL), 2021
[paper] [code] [bib]
-
Is Multihop QA in DiRe Condition? Measuring and Reducing Disconnected Reasoning conference
Harsh Trivedi, Niranjan Balasubramanian, Tushar Khot, Ashish Sabharwal
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020
[paper] [video] [code] [slides] [bib]
-
DeFormer: Decomposing Pre-trained Transformers for Faster Question Answering conference
Qingqing Cao, Harsh Trivedi, Aruna Balasubramanian, Niranjan Balasubramanian
Association for Computational Linguistics (ACL), 2020
[paper] [video] [slides] [code] [bib]