Multiple papers accepted at ICML 2025 Workshops on LLM memorization, knowledge estimation, and trustworthiness, including ‘In Agents We Trust, but Who Do Agents Trust?’, ‘Rote Learning Considered Useful’, and ‘Rethinking Memorization Measures in LLMs’.
Published ‘Towards Reliable Latent Knowledge Estimation in LLMs’ at WSDM 2025.
Published ‘CheckSelect: Online Checkpoint Selection for Flexible, Accurate, Robust, and Efficient Data Valuation’ in IEEE Transactions on Artificial Intelligence (2024).
Published ‘LearnDefend: Learning to Defend against Targeted Model-Poisoning Attacks on Federated Learning’ at ECAI 2024.
Published ‘VTruST: Controllable value function based subset selection for Data-Centric Trustworthy AI’ at DMLR @ ICLR 2024.
Published ‘Accurate and Efficient Channel pruning via Orthogonal Matching Pursuit’ at AIML Systems 2022.
Published ‘TMCOSS: Thresholded Multi-Criteria Online Subset Selection for Data-Efficient Autonomous Driving’ at ICCV 2021.
Authored a paper on ‘Finding High-Value Training Data Subset through Differentiable Convex Program’ (venue not specified).