Hiteshi Sharma

According to our database, Hiteshi Sharma authored at least 22 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

Progressive Safeguards for Safe and Model-Agnostic Reinforcement Learning.

Nabil Omi, Hosein Hasanbeig, Hiteshi Sharma, Sriram K. Rajamani, Siddhartha Sen

CoRR, 2024

Phi-3 Safety Post-Training: Aligning Language Models with a "Break-Fix" Cycle.

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

CoRR, 2024

Cost-Effective Proxy Reward Model Construction with On-Policy and Active Learning.

Yifang Chen, Shuohang Wang, Ziyi Yang, Hiteshi Sharma, Nikos Karampatziakis, Donghan Yu, Kevin G. Jamieson, Simon Shaolei Du, Yelong Shen

CoRR, 2024

Self-Exploring Language Models: Active Preference Elicitation for Online Alignment.

Shenao Zhang, Donghan Yu, Hiteshi Sharma, Ziyi Yang, Shuohang Wang, Hany Hassan, Zhaoran Wang

CoRR, 2024

Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone.

Marah I Abdin, Sam Ade Jacobs, Ammar Ahmad Awan, Jyoti Aneja, Ahmed Awadallah, Hany Awadalla, Nguyen Bach, Amit Bahree, Arash Bakhtiari, Harkirat S. Behl, Alon Benhaim, Misha Bilenko, Johan Bjorck, Sébastien Bubeck, Martin Cai, Caio César Teodoro Mendes, Weizhu Chen, Vishrav Chaudhary, Parul Chopra, Allie Del Giorno, Gustavo de Rosa, Matthew Dixon, Ronen Eldan, Dan Iter, Amit Garg, Abhishek Goswami, Suriya Gunasekar, Emman Haider, Junheng Hao, Russell J. Hewett, Jamie Huynh, Mojan Javaheripi, Xin Jin, Piero Kauffmann, Nikos Karampatziakis, Dongwoo Kim, Mahoud Khademi, Lev Kurilenko, James R. Lee, Yin Tat Lee, Yuanzhi Li, Chen Liang, Weishung Liu, Eric Lin, Zeqi Lin, Piyush Madan, Arindam Mitra, Hardik Modi, Anh Nguyen, Brandon Norick, Barun Patra, Daniel Perez-Becker, Thomas Portet, Reid Pryzant, Heyang Qin, Marko Radmilac, Corby Rosset, Sambudha Roy, Olatunji Ruwase, Olli Saarikivi, Amin Saied, Adil Salim, Michael Santacroce, Shital Shah, Ning Shang, Hiteshi Sharma, Xia Song, Masahiro Tanaka, Xin Wang, Rachel Ward, Guanhua Wang, Philipp Witte, Michael Wyatt, Can Xu, Jiahang Xu, Sonali Yadav, Fan Yang, Ziyi Yang, Donghan Yu, Chengruidong Zhang, Cyril Zhang, Jianwen Zhang, Li Lyna Zhang, Yi Zhang, Yue Zhang, Yunan Zhang, Xiren Zhou

CoRR, 2024

Language Models can be Deductive Solvers.

Jiazhan Feng, Ruochen Xu, Junheng Hao, Hiteshi Sharma, Yelong Shen, Dongyan Zhao, Weizhu Chen

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Enhancing Language Model Alignment: A Confidence-Based Approach to Label Smoothing.

Baihe Huang, Hiteshi Sharma, Yi Mao

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

Language Models can be Logical Solvers.

Jiazhan Feng, Ruochen Xu, Junheng Hao, Hiteshi Sharma, Yelong Shen, Dongyan Zhao, Weizhu Chen

CoRR, 2023

ALLURE: Auditing and Improving LLM-based Evaluation of Text using Iterative In-Context-Learning.

Hosein Hasanbeig, Hiteshi Sharma, Leo Betthauser, Felipe Vieira Frujeri, Ida Momennejad

CoRR, 2023

Fine-Tuning Language Models with Advantage-Induced Policy Alignment.

Banghua Zhu, Hiteshi Sharma, Felipe Vieira Frujeri, Shi Dong, Chenguang Zhu, Michael I. Jordan, Jiantao Jiao

CoRR, 2023

Evaluating Cognitive Maps and Planning in Large Language Models with CogEval.

Ida Momennejad, Hosein Hasanbeig, Felipe Vieira Frujeri, Hiteshi Sharma, Nebojsa Jojic, Hamid Palangi, Robert Osazuwa Ness, Jonathan Larson

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2020

A Universal Empirical Dynamic Programming Algorithm for Continuous State MDPs.

William B. Haskell, Rahul Jain, Hiteshi Sharma, Pengqian Yu

IEEE Trans. Autom. Control., 2020

Randomized Policy Learning for Continuous State and Action MDPs.

Hiteshi Sharma, Rahul Jain

CoRR, 2020

Model-free Reinforcement Learning in Infinite-horizon Average-reward Markov Decision Processes.

Chen-Yu Wei, Mehdi Jafarnia-Jahromi, Haipeng Luo, Hiteshi Sharma, Rahul Jain

Proceedings of the 37th International Conference on Machine Learning, 2020

Finite Time Guarantees for Continuous State MDPs with Generative Model.

Hiteshi Sharma, Rahul Jain

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2019

Approximate Relative Value Learning for Average-reward Continuous State MDPs.

Hiteshi Sharma, Mehdi Jafarnia-Jahromi, Rahul Jain

Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

An Empirical Relative Value Learning Algorithm for Non-parametric MDPs with Continuous State Space.

Hiteshi Sharma, Rahul Jain, Abhishek K. Gupta

Proceedings of the 17th European Control Conference, 2019

Empirical Algorithms for General Stochastic Systems with Continuous States and Actions.

Hiteshi Sharma, Rahul Jain, William B. Haskell

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

An Approximately Optimal Relative Value Learning Algorithm for Averaged MDPs with Continuous States and Actions.

Hiteshi Sharma, Rahul Jain

Proceedings of the 57th Annual Allerton Conference on Communication, 2019

2017

Randomized function fitting-based empirical value iteration.

William B. Haskell, Pengqian Yu, Hiteshi Sharma, Rahul Jain

Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2016

A dynamical systems framework for stochastic iterative optimization.

William B. Haskell, Rahul Jain, Hiteshi Sharma

Proceedings of the 55th IEEE Conference on Decision and Control, 2016

2014

Optimal Spectrum Sensing for Cognitive Radio with Imperfect Detector.

Hiteshi Sharma, Aaqib Patel, S. N. Merchant, Uday B. Desai

Proceedings of the IEEE 79th Vehicular Technology Conference, 2014