Hiteshi Sharma

24 papers A* 3A 1Journal 12Unranked 8

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Self-Exploring Language Models: Active Preference Elicitation for Online Alignment. Trans. Mach. Learn. Res. Shenao Zhang, Donghan Yu, Hiteshi Sharma, Han Zhong, Zhihan Liu, Ziyi Yang, Shuohang Wang, Hany Hassan Awadalla, Zhaoran Wang
2024	J	`jnl`	Cost-Effective Proxy Reward Model Construction with On-Policy and Active Learning. CoRR Yifang Chen, Shuohang Wang, Ziyi Yang, Hiteshi Sharma, Nikos Karampatziakis, Donghan Yu, Kevin Jamieson, Simon Shaolei Du, Yelong Shen
2024	A*	`conf`	Enhancing Language Model Alignment: A Confidence-Based Approach to Label Smoothing. EMNLP Baihe Huang, Hiteshi Sharma, Yi Mao
2024	—	`conf`	Language Models can be Deductive Solvers. NAACL-HLT (Findings) Jiazhan Feng, Ruochen Xu, Junheng Hao, Hiteshi Sharma, Yelong Shen, Dongyan Zhao, Weizhu Chen
2024	J	`jnl`	Phi-3 Safety Post-Training: Aligning Language Models with a "Break-Fix" Cycle. CoRR Emman Haider, Daniel Perez-Becker, Thomas Portet, Piyush Madan, Amit Garg, David Majercak, Wen Wen, Dongwoo Kim, Ziyi Yang, Jianwen Zhang, Hiteshi Sharma, Blake Bullwinkel, Martin Pouliot, Amanda J. Minnich, Shiven Chawla, Solianna Herrera, Shahed Warreth, Maggie Engler, Gary Lopez, Nina Chikanov, Raja Sekhar Rao Dheekonda, Bolor-Erdene Jagdagdorj, Roman Lutz, Richard Lundeen, Tori Westerhoff, Pete Bryan, Christian Seifert, Ram Shankar Siva Kumar, Andrew Berkley, Alex Kessler
2024	J	`jnl`	Progressive Safeguards for Safe and Model-Agnostic Reinforcement Learning. CoRR Nabil Omi, Hosein Hasanbeig, Hiteshi Sharma, Sriram K. Rajamani, Siddhartha Sen
2024	J	`jnl`	Self-Exploring Language Models: Active Preference Elicitation for Online Alignment. CoRR Shenao Zhang, Donghan Yu, Hiteshi Sharma, Ziyi Yang, Shuohang Wang, Hany Hassan, Zhaoran Wang
2023	J	`jnl`	ALLURE: Auditing and Improving LLM-based Evaluation of Text using Iterative In-Context-Learning. CoRR Hosein Hasanbeig, Hiteshi Sharma, Leo Betthauser, Felipe Vieira Frujeri, Ida Momennejad
2023	A*	`conf`	Evaluating Cognitive Maps and Planning in Large Language Models with CogEval. NeurIPS Ida Momennejad, Hosein Hasanbeig, Felipe Vieira Frujeri, Hiteshi Sharma, Nebojsa Jojic, Hamid Palangi, Robert Osazuwa Ness, Jonathan Larson
2023	J	`jnl`	Evaluating Cognitive Maps and Planning in Large Language Models with CogEval. CoRR Ida Momennejad, Hosein Hasanbeig, Felipe Vieira Frujeri, Hiteshi Sharma, Robert Osazuwa Ness, Nebojsa Jojic, Hamid Palangi, Jonathan Larson
2023	J	`jnl`	Fine-Tuning Language Models with Advantage-Induced Policy Alignment. CoRR Banghua Zhu, Hiteshi Sharma, Felipe Vieira Frujeri, Shi Dong, Chenguang Zhu, Michael I. Jordan, Jiantao Jiao
2023	J	`jnl`	Language Models can be Logical Solvers. CoRR Jiazhan Feng, Ruochen Xu, Junheng Hao, Hiteshi Sharma, Yelong Shen, Dongyan Zhao, Weizhu Chen
2020	J	`jnl`	A Universal Empirical Dynamic Programming Algorithm for Continuous State MDPs. IEEE Trans. Autom. Control. William B. Haskell, Rahul Jain, Hiteshi Sharma, Pengqian Yu
2020	—	`conf`	Finite Time Guarantees for Continuous State MDPs with Generative Model. CDC Hiteshi Sharma, Rahul Jain
2020	A*	`conf`	Model-free Reinforcement Learning in Infinite-horizon Average-reward Markov Decision Processes. ICML Chen-Yu Wei, Mehdi Jafarnia-Jahromi, Haipeng Luo, Hiteshi Sharma, Rahul Jain
2020	J	`jnl`	Randomized Policy Learning for Continuous State and Action MDPs. CoRR Hiteshi Sharma, Rahul Jain
2019	—	`conf`	An Approximately Optimal Relative Value Learning Algorithm for Averaged MDPs with Continuous States and Actions. Allerton Hiteshi Sharma, Rahul Jain
2019	—	`conf`	An Empirical Relative Value Learning Algorithm for Non-parametric MDPs with Continuous State Space. ECC Hiteshi Sharma, Rahul Jain, Abhishek K. Gupta
2019	A	`conf`	Approximate Relative Value Learning for Average-reward Continuous State MDPs. UAI Hiteshi Sharma, Mehdi Jafarnia-Jahromi, Rahul Jain
2019	—	`conf`	Empirical Algorithms for General Stochastic Systems with Continuous States and Actions. CDC Hiteshi Sharma, Rahul Jain, William B. Haskell
2019	J	`jnl`	Model-free Reinforcement Learning in Infinite-horizon Average-reward Markov Decision Processes. CoRR Chen-Yu Wei, Mehdi Jafarnia-Jahromi, Haipeng Luo, Hiteshi Sharma, Rahul Jain
2017	—	`conf`	Randomized function fitting-based empirical value iteration. CDC William B. Haskell, Pengqian Yu, Hiteshi Sharma, Rahul Jain
2016	—	`conf`	A dynamical systems framework for stochastic iterative optimization. CDC William B. Haskell, Rahul Jain, Hiteshi Sharma
2014	—	`conf`	Optimal Spectrum Sensing for Cognitive Radio with Imperfect Detector. VTC Spring Hiteshi Sharma, Aaqib Patel, S. N. Merchant, Uday B. Desai