Predicting Treatment Adherence of Tuberculosis Patients at Scale. - Mihir Kulkarni; Satvik Golechha; Rishi Raj; Jithin K. Sreedharan; Ankit Bhardwaj; Santanu Rathod; Bhavin Vadera; Jayakrishna Kurada; Sanjay Mattoo; Rajendra Joshi; Kirankumar Rade; Alpan Raval (ML4H@NeurIPS, 2022)

NICE: To Optimize In-Context Examples or Not? - Pragya Srivastava; Satvik Golechha; Amit Deshpande; Amit Sharma 007 (ACL (1), 2024)

Position Paper: Toward New Frameworks for Studying Model Representations. - Satvik Golechha; James Dao (CoRR, 2024)

Progress Measures for Grokking on Real-world Datasets. - Satvik Golechha (CoRR, 2024)

Modular Training of Neural Networks aids Interpretability. - Satvik Golechha; Maheep Chaudhary; Joan Velja; Alessandro Abate; Nandi Schoots (CoRR, 2025)

Auditing language models for hidden objectives. - Samuel Marks; Johannes Treutlein; Trenton Bricken; Jack Lindsey; Jonathan Marcus; Siddharth Mishra-Sharma; Daniel M. Ziegler; Emmanuel Ameisen; Joshua Batson; Tim Belonax; Samuel R. Bowman; Shan Carter; et al. (CoRR, 2025)

Among Us: A Sandbox for Agentic Deception. - Satvik Golechha; Adrià Garriga-Alonso (CoRR, 2025)

CataractBot: An LLM-powered Expert-in-the-Loop Chatbot for Cataract Patients. - Pragnya Ramjee; Bhuvan Sachdeva; Satvik Golechha; Shreyas Kulkarni; Geeta Fulari; Kaushik Murali; Mohit Jain (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2025)