Satvik Golechha

According to our database, Satvik Golechha authored at least 13 papers between 2022 and 2026.

Collaborative distances:

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

2026

Building Better Deception Probes Using Targeted Instruction Pairs.

Vikram Natarajan, Devina Jain, Shivam Arora, Satvik Golechha, Joseph Isaac Bloom

CoRR, February, 2026

2025

ABBEL: LLM Agents Acting through Belief Bottlenecks Expressed in Language.

Aly Lidayan, Jakob Bjorner, Satvik Golechha, Kartik Goyal, Alane Suhr

CoRR, December, 2025

Auditing Games for Sandbagging.

Jordan Taylor, Sid Black, Dillon Bowen, Thomas Read, Satvik Golechha, Alex Zelenka-Martin, Oliver Makins, Connor Kissane, Kola Ayonrinde, Jacob Merizian, Samuel Marks, Chris Cundy, Joseph Isaac Bloom

CoRR, December, 2025

Who's the Evil Twin? Differential Auditing for Undesired Behavior.

Ishwar Balappanawar, Venkata Hasith Vattikuti, Greta Kintzley, Ronan Azimi-Mancel, Satvik Golechha

CoRR, August, 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., June, 2025

Among Us: A Sandbox for Agentic Deception.

Satvik Golechha, Adrià Garriga-Alonso

CoRR, April, 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, Brian Chen, Hoagy Cunningham, Carson Denison, Florian Dietz, Satvik Golechha, Akbir Khan, Jan Kirchner, Jan Leike, Austin Meek, Kei Nishimura-Gasparian, Euan Ong, Christopher Olah, Adam Pearce, Fabien Roger, Jeanne Salle, Andy Shih, Meg Tong, Drake Thomas, Kelley Rivoire, Adam S. Jermyn, Monte MacDiarmid, Tom Henighan, Evan Hubinger

CoRR, March, 2025

Modular Training of Neural Networks aids Interpretability.

Satvik Golechha, Maheep Chaudhary, Joan Velja, Alessandro Abate, Nandi Schoots

CoRR, February, 2025

A is for Absorption: Studying Feature Splitting and Absorption in Sparse Autoencoders.

David Chanin, James Wilken-Smith, Tomás Dulka, Hardik Bhatnagar, Satvik Golechha, Joseph Bloom

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2024

Progress Measures for Grokking on Real-world Datasets.

Satvik Golechha

CoRR, 2024

Position Paper: Toward New Frameworks for Studying Model Representations.

Satvik Golechha, James Dao

CoRR, 2024

NICE: To Optimize In-Context Examples or Not?

Pragya Srivastava, Satvik Golechha, Amit Deshpande, Amit Sharma

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2022

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

Proceedings of the Machine Learning for Health, 2022