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Nicola Dainese
Nicola Dainese
PhD student, Aalto University
Verified email at aalto.fi
Title
Cited by
Cited by
Year
Open Source Language Models Can Provide Feedback: Evaluating LLMs' Ability to Help Students Using GPT-4-As-A-Judge
C Koutcheme, N Dainese, S Sarsa, A Hellas, J Leinonen, P Denny
Proceedings of the 2024 on Innovation and Technology in Computer Science …, 2024
42024
Benchmarking Educational Program Repair
C Koutcheme, N Dainese, S Sarsa, J Leinonen, A Hellas, P Denny
arXiv preprint arXiv:2405.05347, 2024
32024
Reader: Model-based language-instructed reinforcement learning
N Dainese, P Marttinen, A Ilin
Conference on Empirical Methods in Natural Language Processing, 16583-16599, 2023
22023
In-Context Symbolic Regression: Leveraging Large Language Models for Function Discovery
M Merler, K Haitsiukevich, N Dainese, P Marttinen
Proceedings of the 62nd Annual Meeting of the Association for Computational …, 2024
12024
Using Program Repair as a Proxy for Language Models’ Feedback Ability in Programming Education
C Koutcheme, N Dainese, A Hellas
Proceedings of the 19th Workshop on Innovative Use of NLP for Building …, 2024
12024
Generating Code World Models with Large Language Models Guided by Monte Carlo Tree Search
N Dainese, M Merler, M Alakuijala, P Marttinen
arXiv preprint arXiv:2405.15383, 2024
12024
In-Context Symbolic Regression: Leveraging Language Models for Function Discovery
M Merler, N Dainese, K Haitsiukevich
arXiv preprint arXiv:2404.19094, 2024
12024
Can docstring reformulation with an LLM improve code generation?
N Dainese, A Ilin, P Marttinen
Proceedings of the 18th Conference of the European Chapter of the …, 2024
12024
Evaluating Language Models for Generating and Judging Programming Feedback
C Koutcheme, N Dainese, A Hellas, S Sarsa, J Leinonen, S Ashraf, ...
arXiv preprint arXiv:2407.04873, 2024
2024
Deep Reinforcement Learning methods for StarCraft II Learning Environment
N Dainese
2020
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