Tushar Aggarwal

According to our database, Tushar Aggarwal authored at least 10 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces.

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

CoRR, January, 2026

2025

Robust Learning of Diverse Code Edits.

Tushar Aggarwal, Swayam Singh, Abhijeet Awasthi, Aditya Kanade, Nagarajan Natarajan

CoRR, March, 2025

Language Models' Factuality Depends on the Language of Inquiry.

Tushar Aggarwal, Kumar Tanmay, Ayush Agrawal, Kumar Ayush, Hamid Palangi, Paul Pu Liang

CoRR, February, 2025

PASS: Presentation Automation for Slide Generation and Speech.

Tushar Aggarwal, Aarohi Bhand

CoRR, January, 2025

NextCoder: Robust Adaptation of Code LMs to Diverse Code Edits.

Tushar Aggarwal, Swayam Singh, Abhijeet Awasthi, Aditya Kanade, Nagarajan Natarajan

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

NoFunEval: Funny How Code LMs Falter on Requirements Beyond Functional Correctness.

Manav Singhal, Tushar Aggarwal, Abhijeet Awasthi, Nagarajan Natarajan, Aditya Kanade

CoRR, 2024

2023

EVA: An End-to-End Exploratory Video Analytics System.

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

Proceedings of the Seventh Workshop on Data Management for End-to-End Machine Learning, 2023

2022

Intelligent Audio Signal Processing for Detecting Rainforest Species Using Deep Learning.

Rakesh Kumar, Meenu Gupta, Shakeel Ahmed, Abdulaziz Alhumam, Tushar Aggarwal

Intell. Autom. Soft Comput., 2022

2019

Data Services with Bindaas: RESTful Interfaces for Diverse Data Sources.

Pradeeban Kathiravelu, Yusuf Nadir Saghar, Tushar Aggarwal, Ashish Sharma

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

Optimized cuttlefish algorithm for diagnosis of Parkinson's disease.

Deepak Gupta, Arnav Julka, Sanchit Jain, Tushar Aggarwal, Ashish Khanna, Arunkumar N., Victor Hugo C. de Albuquerque

Cogn. Syst. Res., 2018