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Tushar Aggarwal
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2020 – today
- 2026
[i6]Mike A. Merrill, Alexander Glenn Shaw, Nicholas Carlini, Boxuan Li, Harsh Raj, Ivan Bercovich, Lin Shi, Jeong Yeon Shin, Thomas Walshe, Estefany Kelly Buchanan, Junhong Shen, Guanghao Ye, Haowei Lin, Jason Poulos, Maoyu Wang, Marianna Nezhurina, Jenia Jitsev, Di Lu, Orfeas Menis-Mastromichalakis, Zhiwei Xu, Zizhao Chen, Yue Liu, Robert Zhang, Leon Liangyu Chen, Anurag Kashyap, Jan-Lucas Uslu, Jeffrey Li, Jianbo Wu, Minghao Yan, Song Bian, Vedang Sharma, Ke Sun, Steven Dillmann, Akshay Anand, Andrew Lanpouthakoun, Bardia Koopah, Changran Hu, Etash Kumar Guha, Gabriel H. S. Dreiman, Jiacheng Zhu, Karl Krauth, Li Zhong, Niklas Muennighoff, Robert Amanfu, Shangyin Tan, Shreyas Pimpalgaonkar, Tushar Aggarwal, Xiangning Lin, Xin Lan
, Xuandong Zhao, Yiqing Liang, Yuanli Wang, Zilong Wang, Changzhi Zhou, David Heineman, Hange Liu, Harsh Trivedi, John Yang, Junhong Lin, Manish Shetty, Michael Yang, Nabil Omi, Negin Raoof, Shanda Li, Terry Yue Zhuo, Wuwei Lin, Yiwei Dai, Yuxin Wang, Wenhao Chai, Shang Zhou, Dariush Wahdany, Ziyu She, Jiaming Hu, Zhikang Dong, Yuxuan Zhu, Sasha Cui, Ahson Saiyed, Arinbjörn Kolbeinsson
, Jesse Hu, Christopher Michael Rytting, Ryan Marten, Yixin Wang, Alex Dimakis, Andy Konwinski, Ludwig Schmidt:
Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces. CoRR abs/2601.11868 (2026)- 2025
[c3]Tushar Aggarwal, Swayam Singh, Abhijeet Awasthi, Aditya Kanade, Nagarajan Natarajan:
NextCoder: Robust Adaptation of Code LMs to Diverse Code Edits. ICML 2025
[i5]Tushar Aggarwal, Aarohi Bhand:
PASS: Presentation Automation for Slide Generation and Speech. CoRR abs/2501.06497 (2025)
[i4]Tushar Aggarwal, Kumar Tanmay, Ayush Agrawal, Kumar Ayush, Hamid Palangi, Paul Pu Liang:
Language Models' Factuality Depends on the Language of Inquiry. CoRR abs/2502.17955 (2025)
[i3]Tushar Aggarwal, Swayam Singh, Abhijeet Awasthi, Aditya Kanade, Nagarajan Natarajan:
Robust Learning of Diverse Code Edits. CoRR abs/2503.03656 (2025)- 2024
[i2]Manav Singhal, Tushar Aggarwal, Abhijeet Awasthi, Nagarajan Natarajan, Aditya Kanade:
NoFunEval: Funny How Code LMs Falter on Requirements Beyond Functional Correctness. CoRR abs/2401.15963 (2024)- 2023
[c2]Gaurav Tarlok Kakkar
, Jiashen Cao
, Pramod Chunduri
, Zhuangdi Xu
, Suryatej Reddy Vyalla
, Prashanth Dintyala
, Anirudh Prabakaran
, Jaeho Bang
, Aubhro Sengupta
, Kaushik Ravichandran
, Ishwarya Sivakumar
, Aryan Rajoria
, Ashmita Raju
, Tushar Aggarwal
, Abdullah Shah
, Sanjana Garg
, Shashank Suman
, Myna Prasanna Kalluraya
, Subrata Mitra
, Ali Payani
, Yao Lu
, Umakishore Ramachandran
, Joy Arulraj
:
EVA: An End-to-End Exploratory Video Analytics System. DEEM@SIGMOD 2023: 8:1-8:5- 2022
[j2]Rakesh Kumar
, Meenu Gupta
, Shakeel Ahmed
, Abdulaziz Alhumam
, Tushar Aggarwal:
Intelligent Audio Signal Processing for Detecting Rainforest Species Using Deep Learning. Intell. Autom. Soft Comput. 31(2): 693-706 (2022)
2010 – 2019
- 2019
[c1]Pradeeban Kathiravelu, Yusuf Nadir Saghar, Tushar Aggarwal, Ashish Sharma:
Data Services with Bindaas: RESTful Interfaces for Diverse Data Sources. IEEE BigData 2019: 457-462
[i1]Pradeeban Kathiravelu, Yusuf Nadir Saghar, Tushar Aggarwal, Ashish Sharma:
Data Services with Bindaas: RESTful Interfaces for Diverse Data Sources. CoRR abs/1912.08768 (2019)- 2018
[j1]Deepak Gupta
, Arnav Julka, Sanchit Jain, Tushar Aggarwal, Ashish Khanna
, Arunkumar N.
, Victor Hugo C. de Albuquerque
:
Optimized cuttlefish algorithm for diagnosis of Parkinson's disease. Cogn. Syst. Res. 52: 36-48 (2018)
Coauthor Index

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last updated on 2026-03-28 22:42 CET by the dblp team
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