Rishi Hazra

PhD Student

AASS Research Center
School of Science and Technology
Örebro University
70182 Örebro, Sweden
Room: No Room Available
Phone: No Phone Number Available
Email: No Email Address Available

Publications

[1]	E. Toledo, K. Hambardzumyan, M. Josifoski, R. Hazra, N. Baldwin, A. Audran-Reiss, M. Kuchnik, D. Magka, M. Jiang, A. M. Lupidi, A. Lupu, R. Raileanu, T. Shavrina, K. Niu, J. C. Gagnon-Audet, M. Shvartsman, S. Sodhani, A. H. Miller, A. Charnalia, D. Dunfield, C. J. Wu, P. Stenetorp, N. Cancedda, J. N. Foerster and Y. Bachrach. AI Research Agents for Machine Learning : Search, Exploration, and Generalization in MLE-bench. 2025 [ BibTeX \| DiVA \| PDF ]
[2]	R. Hazra, G. Venturato, P. Zuidberg dos Martires and L. De Raedt. Can Large Language Models Reason? A Characterization via 3-SAT. 2025 [ BibTeX \| DiVA ]
[3]	Y. Bachrach, E. Toledo, K. Hambardzumyan, D. Magka, M. Josifoski, M. Jiang, J. Foerster, R. Raileanu, T. Shavrina, N. Cancedda, A. Ruderman, K. Millican, A. Lupu and R. Hazra. Combining Code Generating Large Language Models and Self-Play to Iteratively Refine Strategies in Games. In Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence (IJCAI-25), pages 10999-11003, 2025 [ BibTeX \| DiVA \| PDF ]
[4]	T. Schreiter, J. V. Rüppel, R. Hazra, A. Rudenko, M. Magnusson and A. J. Lilienthal. Evaluating Efficiency and Engagement in Scripted and LLM-Enhanced Human-Robot Interactions. In 2025 20th ACM IEEE International Conference on Human Robot Interaction (HRI), pages 1608-1612, 2025 [ BibTeX \| DiVA ]
[5]	R. Hazra, G. Venturato, P. Zuidberg dos Martires and L. De Raedt. Have Large Language Models Learned to Reason? A Characterization via 3-SAT. 2025 [ BibTeX \| DiVA \| PDF ]
[6]	P. Mantenoglou, R. Hazra, P. Zuidberg dos Martires and L. De Raedt. LexiCon : a Benchmark for Planning under Temporal Constraints in Natural Language. 2025 [ BibTeX \| DiVA \| PDF ]
[7]	R. Hazra. Neurosymbolic Decision-Making with Large Language Models. Örebro University, School of Science and Technology, Ph.D. Thesis, 2025 [ BibTeX \| DiVA \| PDF ]
[8]	R. Hazra, A. Sygkounas, A. Persson, A. Loutfi and P. Zuidberg dos Martires. REvolve : Reward Evolution with Large Language Models using Human Feedback. In 13th International Conference on Learning Representations (ICLR 2025) : Proceedings, pages 25710-25751, 2025 [ BibTeX \| DiVA ]
[9]	R. Hazra, P. Zuidberg dos Martires and L. De Raedt. SayCanPay : Heuristic Planning with Large Language Models Using Learnable Domain Knowledge. In Proceedings of the 38th AAAI Conference on Artificial Intelligence, 38(38:18):20123-20133, 2024 [ BibTeX \| DiVA ]
[10]	R. Hazra and L. De Raedt. Deep Explainable Relational Reinforcement Learning : A Neuro-Symbolic Approach. In Machine Learning and Knowledge Discovery in Databases: Research Track : European Conference, ECML PKDD 2023, Turin, Italy, September 18–22, 2023, Proceedings, Part IV, 14172(14172):213-229, 2023 [ BibTeX \| DiVA \| PDF ]
[11]	R. Hazra, B. Chen, A. Rai, N. Kamra and R. Desai. EgoTV : Egocentric Task Verification from Natural Language Task Descriptions. In 2023 IEEE/CVF International Conference on Computer Vision (ICCV) : Proceedings, pages 15371-15383, 2023 [ BibTeX \| DiVA \| PDF ]