Nicola Dainese
Visitor
Visitor
T313 Dept. Computer Science
Full researcher profile
https://research.aalto.fi/...
Sähköposti
nicola.dainese@aalto.fi
Puhelinnumero
+358406501667
Tutkimusryhmät
- Professorship Marttinen P., Doctoral Researcher
- Professorship Marttinen P., Visitor (Faculty)
Julkaisut
Generating Code World Models with Large Language Models Guided by Monte Carlo Tree Search
Nicola Dainese, Matteo Merler, Minttu Alakuijala, Pekka Marttinen
2025
Advances in Neural Information Processing Systems 37 (NeurIPS 2024)
Direct Repair Optimization : Training Small Language Models For Educational Program Repair Improves Feedback
Charlie Koutcheme, Nicola Dainese, Arto Hellas
2025
Proceedings of the 20th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2025)
Evaluating Language Models for Generating and Judging Programming Feedback
Charles Koutcheme, Nicola Dainese, Sami Sarsa, Arto Hellas, Juho Leinonen, Syed Ashraf, Paul Denny
2025
SIGCSE TS 2025 - Proceedings of the 56th ACM Technical Symposium on Computer Science Education
Reinforcement Learning for Programming Feedback : Aligning Small Language Models Without Human Preferences
Charlie Koutcheme, Nicola Dainese, Arto Hellas
2025
Proceedings of 9th Educational Data Mining in Computer Science Education (CSEDM) Workshop
Can docstring reformulation with an LLM improve code generation?
Nicola Dainese, Alexander Ilin, Pekka Marttinen
2024
EACL 2024 - 18th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Student Research Workshop
Benchmarking Educational Program Repair
Charlie Koutcheme, Nicola Dainese, Sami Sarsa, Juho Leinonen, Arto Hellas, Paul Denny
2024
Open Source Language Models Can Provide Feedback : Evaluating LLMs' Ability to Help Students Using GPT-4-As-A-Judge
Charles Koutcheme, Nicola Dainese, Sami Sarsa, Arto Hellas, Juho Leinonen, Paul Denny
2024
ITiCSE 2024 - Proceedings of the 2024 Conference Innovation and Technology in Computer Science Education
Using Program Repair as a Proxy for Language Models’ Feedback Ability in Programming Education
Charles Koutcheme, Nicola Dainese, Arto Hellas
2024
Proceedings of the 19th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2024)
In-Context Symbolic Regression : Leveraging Large Language Models for Function Discovery
Matteo Merler, Katsiaryna Haitsiukevich, Nicola Dainese, Pekka Marttinen
2024
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop)
Reader: Model-based language-instructed reinforcement learning
Nicola Dainese, Pekka Marttinen, Alexander Ilin
2023
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing