Rishi Hazra
Rishi Hazra Position: Doctoral Student School/office: School of Science and TechnologyEmail: cmlzaGkuaGF6cmE7b3J1LnNl
Phone: No number available
Room: T2245
Research subject
Research environments
Research groups
Publications
Conference papers |
Doctoral theses, comprehensive summaries |
Conference papers
- Toledo, E. , Hambardzumyan, K. , Josifoski, M. , Hazra, R. , Baldwin, N. , Audran-Reiss, A. , Kuchnik, M. , Magka, D. & et al. (2025). AI Research Agents for Machine Learning: Search, Exploration, and Generalization in MLE-bench. Paper presented at 39th Conference on Neural Information Processing Systems (NeurIPS 2025), San Diego Convention Center, San Diego, CA, United States, December 2-7, 2025. San Diego: [BibTeX]
- Hazra, R. , Venturato, G. , Zuidberg dos Martires, P. & De Raedt, L. (2025). Can Large Language Models Reason? A Characterization via 3-SAT. Paper presented at 13th International Conference on Learning Representations (ICLR 2025), Singapore, April 24-28, 2025. [BibTeX]
- Bachrach, Y. , Toledo, E. , Hambardzumyan, K. , Magka, D. , Josifoski, M. , Jiang, M. , Foerster, J. , Raileanu, R. & et al. (2025). Combining Code Generating Large Language Models and Self-Play to Iteratively Refine Strategies in Games. In: James Kwok, Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence (IJCAI-25). Paper presented at Thirty-Fourth International Joint Conference on Artificial Intelligence (IJCAI 2025), Montreal, Canada, August 16-22, 2025. (pp. 10999-11003). [BibTeX]
- Schreiter, T. , Rüppel, J. V. , Hazra, R. , Rudenko, A. , Magnusson, M. & Lilienthal, A. J. (2025). Evaluating Efficiency and Engagement in Scripted and LLM-Enhanced Human-Robot Interactions. In: 2025 20th ACM IEEE International Conference on Human Robot Interaction (HRI). Paper presented at 20th International Conference on Human Robot Interaction (HRI 2025), Melbourne, Australia, March 4-6, 2025. (pp. 1608-1612). IEEE. [BibTeX]
- Hazra, R. , Venturato, G. , Zuidberg dos Martires, P. & De Raedt, L. (2025). Have Large Language Models Learned to Reason? A Characterization via 3-SAT. Paper presented at Second Conference on Language Modeling (COLM 2025), Montreal, Canada, October 7-10, 2025. [BibTeX]
- Mantenoglou, P. , Hazra, R. , Zuidberg dos Martires, P. & De Raedt, L. (2025). LexiCon: a Benchmark for Planning under Temporal Constraints in Natural Language. Paper presented at Annual Conference on Neural Information Processing Systems (NeurIPS). [BibTeX]
- Hazra, R. , Sygkounas, A. , Persson, A. , Loutfi, A. & Zuidberg dos Martires, P. (2025). REvolve: Reward Evolution with Large Language Models using Human Feedback. In: 13th International Conference on Learning Representations (ICLR 2025) Proceedings. Paper presented at 13th International Conference on Learning Representations (ICLR 2025), Singapore, April 24-28, 2025. (pp. 25710-25751). International Conference on Learning Representations, ICLR. [BibTeX]
- Hazra, R. , Zuidberg dos Martires, P. & De Raedt, L. (2024). SayCanPay: Heuristic Planning with Large Language Models Using Learnable Domain Knowledge. In: Michael Wooldridge; Jennifer Dy; Sriraam Natarajan, Proceedings of the 38th AAAI Conference on Artificial Intelligence. Paper presented at 38th AAAI Conference on Artificial Intelligence (AAAI) / 36th Conference on Innovative Applications of Artificial Intelligence / 14th Symposium on Educational Advances in Artificial Intelligence, Vancouver, Canada, February 20-27, 2024. (pp. 20123-20133). AAAI Press. [BibTeX]
- Hazra, R. & De Raedt, L. (2023). Deep Explainable Relational Reinforcement Learning: A Neuro-Symbolic Approach. In: Danai Koutra; Claudia Plant; Manuel Gomez Rodriguez; Elena Baralis; Francesco Bonchi, Machine Learning and Knowledge Discovery in Databases: Research Track European Conference, ECML PKDD 2023, Turin, Italy, September 18–22, 2023, Proceedings, Part IV. Paper presented at European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2023), Turin, Italy, September 18-22, 2023. (pp. 213-229). Springer. [BibTeX]
- Hazra, R. , Chen, B. , Rai, A. , Kamra, N. & Desai, R. (2023). EgoTV: Egocentric Task Verification from Natural Language Task Descriptions. In: 2023 IEEE/CVF International Conference on Computer Vision (ICCV) Proceedings. Paper presented at International Conference on Computer Vision (ICCV 2023), Paris, France, October 2-6, 2023. (pp. 15371-15383). IEEE. [BibTeX]
Doctoral theses, comprehensive summaries
- Hazra, R. (2025). Neurosymbolic Decision-Making with Large Language Models. (Doctoral dissertation). (Comprehensive summary) Örebro: Örebro University. [BibTeX]