mRNA: Enabling Efficient Mapping Space Exploration for a Reconfiguration Neural Accelerator. - Zhongyuan Zhao 004; Hyoukjun Kwon; Sachit Kuhar; Weiguang Sheng; Zhigang Mao; Tushar Krishna (ISPASS, 2019)

SumMerge: an efficient algorithm and implementation for weight repetition-aware DNN inference. - Rohan Baskar Prabhakar; Sachit Kuhar; Rohit Agrawal 001; Christopher J. Hughes; Christopher W. Fletcher (ICS, 2021)

Deep Learning Based Semi-Blind Tracking for Aging Wireless Communication Channels. - Achal Dave; Sachit Kuhar; Ribhu Chopra (Wirel. Pers. Commun., 2021)

Offline Visual Representation Learning for Embodied Navigation. - Karmesh Yadav; Ram Ramrakhya; Arjun Majumdar; Vincent-Pierre Berges; Sachit Kuhar; Dhruv Batra; Alexei Baevski; Oleksandr Maksymets (CoRR, 2022)

Learning to Discern: Imitating Heterogeneous Human Demonstrations with Preference and Representation Learning. - Sachit Kuhar; Shuo Cheng; Shivang Chopra; Matthew Bronars; Danfei Xu (CoRL, 2023)

Signed Binarization: Unlocking Efficiency Through Repetition-Sparsity Trade-Off. - Sachit Kuhar; Yash Jain; Alexey Tumanov (CoRR, 2023)

PLUM: Improving Inference Efficiency By Leveraging Repetition-Sparsity Trade-Off. - Sachit Kuhar; Yash Jain; Alexey Tumanov (Trans. Mach. Learn. Res., 2024)

LibEvolutionEval: A Benchmark and Study for Version-Specific Code Generation. - Sachit Kuhar; Wasi Uddin Ahmad; Zijian Wang 002; Nihal Jain; Haifeng Qian; Baishakhi Ray; Murali Krishna Ramanathan; Xiaofei Ma 001; Anoop Deoras (NAACL (Long Papers), 2025)

UTFix: Change Aware Unit Test Repairing using LLM. - Shanto Rahman; Sachit Kuhar; Berk Çirisci; Pranav Garg 001; Shiqi Wang 002; Xiaofei Ma 001; Anoop Deoras; Baishakhi Ray (Proc. ACM Program. Lang., 2025)