Maheep Chaudhary

According to our database, Maheep Chaudhary authored at least 22 papers between 2022 and 2026.

Collaborative distances:

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

2026

Mechanistic origins of catastrophic forgetting: why RL preserves circuits better than SFT?

Jeanmely Rojas Nunez, Viraj Sawant, Nathan Allen, Nomgondalai Amgalanbaatar, Yannis Zongo, Vasu Sharma, Maheep Chaudhary

CoRR, May, 2026

Playing Devil's Advocate: Off-the-Shelf Persona Vectors Rival Targeted Steering for Sycophancy.

Ishaan Kelkar, Nebras Alam, Vikram Kakaria, Madhur Panwar, Vasu Sharma, Maheep Chaudhary

CoRR, May, 2026

In-Context Environments Induce Evaluation-Awareness in Language Models.

Maheep Chaudhary

CoRR, March, 2026

MANATEE: Inference-Time Lightweight Diffusion Based Safety Defense for LLMs.

Chun Yan Ryan Kan, Tommy Tran, Vedant Yadav, Ava Cai, Kevin Zhu, Ruizhe Li, Maheep Chaudhary

CoRR, February, 2026

Weight space Detection of Backdoors in LoRA Adapters.

David Puertolas Merenciano, Ekaterina Vasyagina, Raghav Dixit, Kevin Zhu, Ruizhe Li, Javier Ferrando, Maheep Chaudhary

CoRR, February, 2026

Broken Chains: The Cost of Incomplete Reasoning in LLMs.

Ian Su, Gaurav Purushothaman, Jey Narayan, Ruhika Goel, Kevin Zhu, Sunishchal Dev, Yash More, Maheep Chaudhary

CoRR, February, 2026

Punctuations and Predicates in Language Models.

Sonakshi Chauhan, Maheep Chaudhary, Kwan Kiu Choy, Samuel Nellessen, Nandi Schoots

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2026, 2026

2025

SALT: Steering Activations towards Leakage-free Thinking in Chain of Thought.

Shourya Batra, Pierce Tillman, Samarth Gaggar, Shashank Kesineni, Kevin Zhu, Sunishchal Dev, Ashwinee Panda, Vasu Sharma, Maheep Chaudhary

CoRR, November, 2025

Alignment-Constrained Dynamic Pruning for LLMs: Identifying and Preserving Alignment-Critical Circuits.

Dev Patel, Gabrielle Gervacio, Diekola Raimi, Kevin Zhu, Ryan Lagasse, Gabriel Grand, Ashwinee Panda, Maheep Chaudhary

CoRR, November, 2025

Optimizing Chain-of-Thought Confidence via Topological and Dirichlet Risk Analysis.

Abhishek More, Anthony Zhang, Nicole Bonilla, Ashvik Vivekan, Kevin Zhu, Parham Sharafoleslami, Maheep Chaudhary

CoRR, November, 2025

PALADIN: Self-Correcting Language Model Agents to Cure Tool-Failure Cases.

Sri Vatsa Vuddanti, Aarav Shah, Satwik Kumar Chittiprolu, Tony Song, Sunishchal Dev, Kevin Zhu, Maheep Chaudhary

CoRR, September, 2025

Amortized Latent Steering: Low-Cost Alternative to Test-Time Optimization.

Nathan Egbuna, Saatvik Gaur, Sunishchal Dev, Ashwinee Panda, Maheep Chaudhary

CoRR, September, 2025

FRIT: Using Causal Importance to Improve Chain-of-Thought Faithfulness.

Anand Swaroop, Akshat Nallani, Saksham Uboweja, Adiliia Uzdenova, Michael Nguyen, Kevin Zhu, Sunishchal Dev, Ashwinee Panda, Vasu Sharma, Maheep Chaudhary

CoRR, September, 2025

Evaluation Awareness Scales Predictably in Open-Weights Large Language Models.

Maheep Chaudhary, Ian Su, Nikhil Hooda, Nishith Shankar, Julia Tan, Kevin Zhu, Ashwinee Panda, Ryan Lagasse, Vasu Sharma

CoRR, September, 2025

Punctuation and Predicates in Language Models.

Sonakshi Chauhan, Maheep Chaudhary, Koby Choy, Samuel Nellessen, Nandi Schoots

CoRR, August, 2025

SafetyNet: Detecting Harmful Outputs in LLMs by Modeling and Monitoring Deceptive Behaviors.

Maheep Chaudhary, Fazl Barez

CoRR, May, 2025

Modular Training of Neural Networks aids Interpretability.

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

CoRR, February, 2025

Causal Abstraction: A Theoretical Foundation for Mechanistic Interpretability.

Atticus Geiger, Duligur Ibeling, Amir Zur, Maheep Chaudhary, Sonakshi Chauhan, Jing Huang, Aryaman Arora, Zhengxuan Wu, Noah D. Goodman, Christopher Potts, Thomas Icard

J. Mach. Learn. Res., 2025

2024

Evaluating Open-Source Sparse Autoencoders on Disentangling Factual Knowledge in GPT-2 Small.

Maheep Chaudhary, Atticus Geiger

CoRR, 2024

MemeCLIP: Leveraging CLIP Representations for Multimodal Meme Classification.

Siddhant Bikram Shah, Shuvam Shiwakoti, Maheep Chaudhary, Haohan Wang

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

Towards Trustworthy and Aligned Machine Learning: A Data-centric Survey with Causality Perspectives.

Haoyang Liu, Maheep Chaudhary, Haohan Wang

CoRR, 2023

2022

An Intelligent Recommendation-cum-Reminder System.

Rohan Saxena, Maheep Chaudhary, Chandresh Kumar Maurya, Shitala Prasad

Proceedings of the CODS-COMAD 2022: 5th Joint International Conference on Data Science & Management of Data (9th ACM IKDD CODS and 27th COMAD), Bangalore, India, January 8, 2022