Sapana Chaudhary

20 papers A* 5Journal 13Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Generating Data-Driven Reasoning Rubrics for Domain-Adaptive Reward Modeling. CoRR Kate Sanders, Nathaniel Weir, Sapana Chaudhary, Kaj Bostrom, Huzefa Rangwala
2026	J	`jnl`	MaxCode: A Max-Reward Reinforcement Learning Framework for Automated Code Optimization. CoRR Jiefu Ou, Sapana Chaudhary, Kaj Bostrom, Nathaniel Weir, Shuai Zhang, Huzefa Rangwala, George Karypis
2025	A*	`conf`	AgentOccam: A Simple Yet Strong Baseline for LLM-Based Web Agents. ICLR Ke Yang, Yao Liu, Sapana Chaudhary, Rasool Fakoor, Pratik Chaudhari, George Karypis, Huzefa Rangwala
2025	J	`jnl`	Offline Learning and Forgetting for Reasoning with Large Language Models. Trans. Mach. Learn. Res. Tianwei Ni, Allen Nie, Sapana Chaudhary, Yao Liu, Huzefa Rangwala, Rasool Fakoor
2025	J	`jnl`	Risk-Averse Finetuning of Large Language Models. CoRR Sapana Chaudhary, Ujwal Dinesha, Dileep Kalathil, Srinivas Shakkottai
2025	J	`jnl`	Teaching Large Language Models to Reason through Learning and Forgetting. CoRR Tianwei Ni, Allen Nie, Sapana Chaudhary, Yao Liu, Huzefa Rangwala, Rasool Fakoor
2025	J	`jnl`	VeriCoT: Neuro-symbolic Chain-of-Thought Validation via Logical Consistency Checks. CoRR Yu Feng, Nathaniel Weir, Kaj Bostrom, Sam Bayless, Darion Cassel, Sapana Chaudhary, Benjamin Kiesl-Reiter, Huzefa Rangwala
2024	J	`jnl`	AgentOccam: A Simple Yet Strong Baseline for LLM-Based Web Agents. CoRR Ke Yang, Yao Liu, Sapana Chaudhary, Rasool Fakoor, Pratik Chaudhari, George Karypis, Huzefa Rangwala
2024	—	`conf`	Pedagogical Alignment of Large Language Models. EMNLP (Findings) Shashank Sonkar, Kangqi Ni, Sapana Chaudhary, Richard G. Baraniuk
2024	J	`jnl`	Pedagogical Alignment of Large Language Models. CoRR Shashank Sonkar, Kangqi Ni, Sapana Chaudhary, Richard G. Baraniuk
2024	A*	`conf`	Risk-Averse Fine-tuning of Large Language Models. NeurIPS Sapana Chaudhary, Ujwal Dinesha, Dileep Kalathil, Srinivas Shakkottai
2023	J	`jnl`	Dynamic Regret Analysis of Safe Distributed Online Optimization for Convex and Non-convex Problems. CoRR Ting-Jui Chang, Sapana Chaudhary, Dileep Kalathil, Shahin Shahrampour
2023	J	`jnl`	Dynamic Regret Analysis of Safe Distributed Online Optimization for Convex and Non-convex Problems. Trans. Mach. Learn. Res. Ting-Jui Chang, Sapana Chaudhary, Dileep Kalathil, Shahin Shahrampour
2023	A*	`conf`	On Adaptivity and Safety in Sequential Decision Making. IJCAI Sapana Chaudhary
2022	J	`jnl`	Enhanced Meta Reinforcement Learning using Demonstrations in Sparse Reward Environments. CoRR Desik Rengarajan, Sapana Chaudhary, Jaewon Kim, Dileep Kalathil, Srinivas Shakkottai
2022	A*	`conf`	Enhanced Meta Reinforcement Learning via Demonstrations in Sparse Reward Environments. NeurIPS Desik Rengarajan, Sapana Chaudhary, Jaewon Kim, Dileep Kalathil, Srinivas Shakkottai
2022	A*	`conf`	Safe Online Convex Optimization with Unknown Linear Safety Constraints. AAAI Sapana Chaudhary, Dileep M. Kalathil
2022	—	`conf`	Smooth Imitation Learning via Smooth Costs and Smooth Policies. COMAD/CODS Sapana Chaudhary, Balaraman Ravindran
2021	J	`jnl`	Safe Online Convex Optimization with Unknown Linear Safety Constraints. CoRR Sapana Chaudhary, Dileep Kalathil
2021	J	`jnl`	Smooth Imitation Learning via Smooth Costs and Smooth Policies. CoRR Sapana Chaudhary, Balaraman Ravindran