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ORCIDShaurya Rohatgi
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Journal Articles
- 2020
[j1]Bharath Kandimalla, Shaurya Rohatgi, Jian Wu, C. Lee Giles:
Large Scale Subject Category Classification of Scholarly Papers With Deep Attentive Neural Networks. Frontiers Res. Metrics Anal. 5: 600382 (2020)
Conference and Workshop Papers
- 2024
- [c16]Zeyu He
, Chieh-Yang Huang, Chien-Kuang Cornelia Ding, Shaurya Rohatgi, Ting-Hao Kenneth Huang:
If in a Crowdsourced Data Annotation Pipeline, a GPT-4. CHI 2024: 1040:1-1040:25 - 2023
- [c15]Zeba Karishma, Shaurya Rohatgi, Kavya Shrinivas Puranik, Jian Wu, C. Lee Giles:
ACL-Fig: A Dataset for Scientific Figure Classification. SDU@AAAI 2023 - [c14]Shaurya Rohatgi, Yanxia Qin, Benjamin Aw, Niranjana Unnithan, Min-Yen Kan:
The ACL OCL Corpus: Advancing Open Science in Computational Linguistics. EMNLP 2023: 10348-10361 - [c13]Jason Samuel Lucas, Adaku Uchendu, Michiharu Yamashita, Jooyoung Lee, Shaurya Rohatgi, Dongwon Lee:
Fighting Fire with Fire: The Dual Role of LLMs in Crafting and Detecting Elusive Disinformation. EMNLP 2023: 14279-14305 - 2022
- [c12]Jian Wu, Shaurya Rohatgi, Manoj K. Angadi, Kavya S. Puranik, C. Lee Giles:
Design Considerations for a Sustainable Scholarly Big Data Service. FIRE 2022: 83-87 - [c11]Shaurya Rohatgi, Doug Downey, Daniel King, Sergey Feldman:
S2AMP: a high-coverage dataset of scholarly mentorship inferred from publications. JCDL 2022: 44 - 2021
- [c10]Jian Wu, Shaurya Rohatgi, Sai Raghav Reddy Keesara, Jason Chhay, Kevin Kuo, Arjun Manoj Menon, Sean Parsons, Bhuvan Urgaonkar, C. Lee Giles:
Building an Accessible, Usable, Scalable, and Sustainable Service for Scholarly Big Data. IEEE BigData 2021: 141-152 - [c9]Shaurya Rohatgi, Jian Wu, C. Lee Giles:
Ranked List Fusion and Re-ranking with Pre-trained Transformers for ARQMath Lab. CLEF (Working Notes) 2021: 125-132 - [c8]Shaurya Rohatgi, C. Lee Giles, Jian Wu:
What Were People Searching For? A Query Log Analysis of An Academic Search Engine. JCDL 2021: 342-343 - 2020
- [c7]Shaurya Rohatgi, Jian Wu, C. Lee Giles:
PSU at CLEF-2020 ARQMath Track: Unsupervised Re-ranking using Pretraining. CLEF (Working Notes) 2020 - [c6]Shaurya Rohatgi, Zeba Karishma, Jason Chhay, Sai Raghav Reddy Keesara, Jian Wu, Cornelia Caragea, C. Lee Giles:
COVIDSeer: Extending the CORD-19 Dataset. DocEng 2020: 21:1-21:4 - [c5]Wei Zhong, Shaurya Rohatgi, Jian Wu, C. Lee Giles, Richard Zanibbi:
Accelerating Substructure Similarity Search for Formula Retrieval. ECIR (1) 2020: 714-727 - 2019
- [c4]Kunho Kim, Shaurya Rohatgi, C. Lee Giles:
Hybrid Deep Pairwise Classification for Author Name Disambiguation. CIKM 2019: 2369-2372 - [c3]Behrooz Mansouri, Shaurya Rohatgi, Douglas W. Oard, Jian Wu, C. Lee Giles, Richard Zanibbi:
Tangent-CFT: An Embedding Model for Mathematical Formulas. ICTIR 2019: 11-18 - 2018
- [c2]Jian Wu, Bharath Kandimalla, Shaurya Rohatgi, Athar Sefid, Jianyu Mao, C. Lee Giles:
CiteSeerX-2018: A Cleansed Multidisciplinary Scholarly Big Dataset. IEEE BigData 2018: 5465-5467 - 2016
- [c1]Mayur Patidar, Shaurya Rohatgi, Ashish Chaudhary, Mahesh P. Singh, Puneet Agarwal, Gautam Shroff:
Activity Detection from Email Meta-Data Clustering. ICDM Workshops 2016: 568-575
Informal and Other Publications
- 2024
- [i9]Zeyu He, Chieh-Yang Huang, Chien-Kuang Cornelia Ding, Shaurya Rohatgi, Ting-Hao Kenneth Huang:
If in a Crowdsourced Data Annotation Pipeline, a GPT-4. CoRR abs/2402.16795 (2024) - 2023
- [i8]Rodney Kinney, Chloe Anastasiades, Russell Authur, Iz Beltagy, Jonathan Bragg, Alexandra Buraczynski, Isabel Cachola, Stefan Candra, Yoganand Chandrasekhar, Arman Cohan, Miles Crawford, Doug Downey, Jason Dunkelberger, Oren Etzioni, Rob Evans, Sergey Feldman, Joseph Gorney, David Graham, Fangzhou Hu, Regan Huff, Daniel King, Sebastian Kohlmeier, Bailey Kuehl, Michael Langan, Daniel Lin, Haokun Liu, Kyle Lo, Jaron Lochner, Kelsey MacMillan, Tyler Murray, Chris Newell, Smita Rao, Shaurya Rohatgi, Paul Sayre, Zejiang Shen, Amanpreet Singh, Luca Soldaini, Shivashankar Subramanian, Amber Tanaka, Alex D. Wade, Linda Wagner, Lucy Lu Wang, Chris Wilhelm, Caroline Wu, Jiangjiang Yang, Angele Zamarron, Madeleine van Zuylen, Daniel S. Weld:
The Semantic Scholar Open Data Platform. CoRR abs/2301.10140 (2023) - [i7]Zeba Karishma, Shaurya Rohatgi, Kavya Shrinivas Puranik, Jian Wu, C. Lee Giles:
ACL-Fig: A Dataset for Scientific Figure Classification. CoRR abs/2301.12293 (2023) - [i6]Shaurya Rohatgi, Yanxia Qin, Benjamin Aw, Niranjana Unnithan, Min-Yen Kan:
The ACL OCL Corpus: advancing Open science in Computational Linguistics. CoRR abs/2305.14996 (2023) - [i5]Jason Samuel Lucas, Adaku Uchendu, Michiharu Yamashita, Jooyoung Lee, Shaurya Rohatgi, Dongwon Lee:
Fighting Fire with Fire: The Dual Role of LLMs in Crafting and Detecting Elusive Disinformation. CoRR abs/2310.15515 (2023) - 2022
- [i4]Shaurya Rohatgi, Douglas Downey, Daniel King, Sergey Feldman:
S2AMP: A High-Coverage Dataset of Scholarly Mentorship Inferred from Publications. CoRR abs/2204.10838 (2022) - 2020
- [i3]Bharath Kandimalla, Shaurya Rohatgi, Jian Wu, C. Lee Giles:
Large Scale Subject Category Classification of Scholarly Papers with Deep Attentive Neural Networks. CoRR abs/2007.13826 (2020) - 2019
- [i2]Shaurya Rohatgi, Wei Zhong, Richard Zanibbi, Jian Wu, C. Lee Giles:
Query Auto Completion for Math Formula Search. CoRR abs/1912.04115 (2019) - 2017
- [i1]Maryam Zare, Shaurya Rohatgi:
DeepNorm-A Deep Learning Approach to Text Normalization. CoRR abs/1712.06994 (2017)
Coauthor Index
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