Maheep Chaudhary

22 papers A* 1Journal 19Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Broken Chains: The Cost of Incomplete Reasoning in LLMs.
CoRR
Ian Su, Gaurav Purushothaman, Jey Narayan, Ruhika Goel, Kevin Zhu, Sunishchal Dev, Yash More, Maheep Chaudhary
2026 J jnl
In-Context Environments Induce Evaluation-Awareness in Language Models.
CoRR
Maheep Chaudhary
2026 J jnl
MANATEE: Inference-Time Lightweight Diffusion Based Safety Defense for LLMs.
CoRR
Chun Yan Ryan Kan, Tommy Tran, Vedant Yadav, Ava Cai, Kevin Zhu, Ruizhe Li, Maheep Chaudhary
2026 — conf
Punctuations and Predicates in Language Models.
EACL (Findings)
Sonakshi Chauhan, Maheep Chaudhary, Kwan Kiu Choy, Samuel Nellessen, Nandi Schoots
2026 J jnl
Weight space Detection of Backdoors in LoRA Adapters.
CoRR
David Puertolas Merenciano, Ekaterina Vasyagina, Raghav Dixit, Kevin Zhu, Ruizhe Li, Javier Ferrando, Maheep Chaudhary
2025 J jnl
Alignment-Constrained Dynamic Pruning for LLMs: Identifying and Preserving Alignment-Critical Circuits.
CoRR
Dev Patel, Gabrielle Gervacio, Diekola Raimi, Kevin Zhu, Ryan Lagasse, Gabriel Grand, Ashwinee Panda, Maheep Chaudhary
2025 J jnl
Amortized Latent Steering: Low-Cost Alternative to Test-Time Optimization.
CoRR
Nathan Egbuna, Saatvik Gaur, Sunishchal Dev, Ashwinee Panda, Maheep Chaudhary
2025 J jnl
Causal Abstraction: A Theoretical Foundation for Mechanistic Interpretability.
J. Mach. Learn. Res.
Atticus Geiger, Duligur Ibeling, Amir Zur, Maheep Chaudhary, Sonakshi Chauhan, Jing Huang, Aryaman Arora, Zhengxuan Wu, Noah D. Goodman, Christopher Potts, Thomas Icard
2025 J jnl
Evaluation Awareness Scales Predictably in Open-Weights Large Language Models.
CoRR
Maheep Chaudhary, Ian Su, Nikhil Hooda, Nishith Shankar, Julia Tan, Kevin Zhu, Ashwinee Panda, Ryan Lagasse, Vasu Sharma
2025 J jnl
FRIT: Using Causal Importance to Improve Chain-of-Thought Faithfulness.
CoRR
Anand Swaroop, Akshat Nallani, Saksham Uboweja, Adiliia Uzdenova, Michael Nguyen, Kevin Zhu, Sunishchal Dev, Ashwinee Panda, Vasu Sharma, Maheep Chaudhary
2025 J jnl
Modular Training of Neural Networks aids Interpretability.
CoRR
Satvik Golechha, Maheep Chaudhary, Joan Velja, Alessandro Abate, Nandi Schoots
2025 J jnl
Optimizing Chain-of-Thought Confidence via Topological and Dirichlet Risk Analysis.
CoRR
Abhishek More, Anthony Zhang, Nicole Bonilla, Ashvik Vivekan, Kevin Zhu, Parham Sharafoleslami, Maheep Chaudhary
2025 J jnl
PALADIN: Self-Correcting Language Model Agents to Cure Tool-Failure Cases.
CoRR
Sri Vatsa Vuddanti, Aarav Shah, Satwik Kumar Chittiprolu, Tony Song, Sunishchal Dev, Kevin Zhu, Maheep Chaudhary
2025 J jnl
Punctuation and Predicates in Language Models.
CoRR
Sonakshi Chauhan, Maheep Chaudhary, Koby Choy, Samuel Nellessen, Nandi Schoots
2025 J jnl
SALT: Steering Activations towards Leakage-free Thinking in Chain of Thought.
CoRR
Shourya Batra, Pierce Tillman, Samarth Gaggar, Shashank Kesineni, Kevin Zhu, Sunishchal Dev, Ashwinee Panda, Vasu Sharma, Maheep Chaudhary
2025 J jnl
SafetyNet: Detecting Harmful Outputs in LLMs by Modeling and Monitoring Deceptive Behaviors.
CoRR
Maheep Chaudhary, Fazl Barez
2024 J jnl
Evaluating Open-Source Sparse Autoencoders on Disentangling Factual Knowledge in GPT-2 Small.
CoRR
Maheep Chaudhary, Atticus Geiger
2024 A* conf
MemeCLIP: Leveraging CLIP Representations for Multimodal Meme Classification.
EMNLP
Siddhant Bikram Shah, Shuvam Shiwakoti, Maheep Chaudhary, Haohan Wang
2024 J jnl
MemeCLIP: Leveraging CLIP Representations for Multimodal Meme Classification.
CoRR
Siddhant Bikram Shah, Shuvam Shiwakoti, Maheep Chaudhary, Haohan Wang
2023 J jnl
Towards Trustworthy and Aligned Machine Learning: A Data-centric Survey with Causality Perspectives.
CoRR
Haoyang Liu, Maheep Chaudhary, Haohan Wang
2022 — conf
An Intelligent Recommendation-cum-Reminder System.
COMAD/CODS
Rohan Saxena, Maheep Chaudhary, Chandresh Kumar Maurya, Shitala Prasad
2021 J jnl
An Intelligent Recommendation-cum-Reminder System.
CoRR
Rohan Saxena, Maheep Chaudhary, Chandresh Kumar Maurya, Shitala Prasad