Chandrasekaran, Varun

10 publications

ICLRW 2025 BenchAgents: Automated Benchmark Creation with Agent Interaction Natasha Butt, Varun Chandrasekaran, Neel Joshi, Besmira Nushi, Vidhisha Balachandran

ICLR 2025 Generative Monoculture in Large Language Models Fan Wu, Emily Black, Varun Chandrasekaran

ICML 2025 Not All Wrong Is Bad: Using Adversarial Examples for Unlearning Ali Ebrahimpour-Boroojeny, Hari Sundaram, Varun Chandrasekaran

ICLR 2025 Training Robust Ensembles Requires Rethinking Lipschitz Continuity Ali Ebrahimpour-Boroojeny, Hari Sundaram, Varun Chandrasekaran

ICLR 2025 Unearthing Skill-Level Insights for Understanding Trade-Offs of Foundation Models Mazda Moayeri, Vidhisha Balachandran, Varun Chandrasekaran, Safoora Yousefi, Thomas Fel, Soheil Feizi, Besmira Nushi, Neel Joshi, Vibhav Vineet

ICLR 2024 Attention Satisfies: A Constraint-Satisfaction Lens on Factual Errors of Language Models Mert Yuksekgonul, Varun Chandrasekaran, Erik Jones, Suriya Gunasekar, Ranjita Naik, Hamid Palangi, Ece Kamar, Besmira Nushi

ICLR 2024 KITAB: Evaluating LLMs on Constraint Satisfaction for Information Retrieval Marah I Abdin, Suriya Gunasekar, Varun Chandrasekaran, Jerry Li, Mert Yuksekgonul, Rahee Ghosh Peshawaria, Ranjita Naik, Besmira Nushi

ICLR 2024 Privately Aligning Language Models with Reinforcement Learning Fan Wu, Huseyin A Inan, Arturs Backurs, Varun Chandrasekaran, Janardhan Kulkarni, Robert Sim

ICLR 2024 Teaching Language Models to Hallucinate Less with Synthetic Tasks Erik Jones, Hamid Palangi, Clarisse Simões Ribeiro, Varun Chandrasekaran, Subhabrata Mukherjee, Arindam Mitra, Ahmed Hassan Awadallah, Ece Kamar

ICML 2021 A General Framework for Detecting Anomalous Inputs to DNN Classifiers Jayaram Raghuram, Varun Chandrasekaran, Somesh Jha, Suman Banerjee