Hosein Hasanbeig

16 papers A* 3Journal 12Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	An Empirical Investigation of Robustness in Large Language Models under Tabular Distortions. CoRR Avik Dutta, Harshit Nigam, Hosein Hasanbeig, Arjun Radhakrishna, Sumit Gulwani
2026	A*	`conf`	Symbolic Task Inference in Deep Reinforcement Learning (Abstract Reprint). AAAI Hosein Hasanbeig, Natasha Yogananda Jeppu, Alessandro Abate, Tom Melham, Daniel Kroening
2025	J	`jnl`	ConDABench: Interactive Evaluation of Language Models for Data Analysis. CoRR Avik Dutta, Priyanshu Gupta, Hosein Hasanbeig, Rahul Pratap Singh, Harshit Nigam, Sumit Gulwani, Arjun Radhakrishna, Gustavo Soares, Ashish Tiwari
2025	—	`conf`	Mission-driven Exploration for Accelerated Deep Reinforcement Learning with Temporal Logic Task Specifications. L4DC Jun Wang, Hosein Hasanbeig, Kaiyuan Tan, Zihe Sun, Yiannis Kantaros
2025	J	`jnl`	Soft-Label Training Preserves Epistemic Uncertainty. CoRR Agamdeep Singh, Ashish Tiwari, Hosein Hasanbeig, Priyanshu Gupta
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	A*	`conf`	Safeguarded Progress in Reinforcement Learning: Safe Bayesian Exploration for Control Policy Synthesis. AAAI Rohan Mitta, Hosein Hasanbeig, Jun Wang, Daniel Kroening, Yiannis Kantaros, Alessandro Abate
2024	J	`jnl`	Symbolic Task Inference in Deep Reinforcement Learning. J. Artif. Intell. Res. Hosein Hasanbeig, Natasha Yogananda Jeppu, Alessandro Abate, Tom Melham, Daniel Kroening
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	J	`jnl`	Certified reinforcement learning with logic guidance. Artif. Intell. Hosein Hasanbeig, Daniel Kroening, Alessandro Abate
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`	In-Context Learning in Large Language Models: A Neuroscience-inspired Analysis of Representations. CoRR Safoora Yousefi, Leo Betthauser, Hosein Hasanbeig, Akanksha Saran, Raphaël Millière, Ida Momennejad
2023	J	`jnl`	Mission-driven Exploration for Accelerated Deep Reinforcement Learning with Temporal Logic Task Specifications. CoRR Jun Wang, Hosein Hasanbeig, Kaiyuan Tan, Zihe Sun, Yiannis Kantaros
2023	J	`jnl`	Safeguarded Progress in Reinforcement Learning: Safe Bayesian Exploration for Control Policy Synthesis. CoRR Rohan Mitta, Hosein Hasanbeig, Jun Wang, Daniel Kroening, Yiannis Kantaros, Alessandro Abate
2022	J	`jnl`	LCRL: Certified Policy Synthesis via Logically-Constrained Reinforcement Learning. CoRR Hosein Hasanbeig, Daniel Kroening, Alessandro Abate