Nicola Dainese

According to our database, Nicola Dainese authored at least 9 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Evaluating Language Models for Generating and Judging Programming Feedback.

Charles Koutcheme, Nicola Dainese, Arto Hellas, Sami Sarsa, Juho Leinonen, Syed Ashraf, Paul Denny

CoRR, 2024

Generating Code World Models with Large Language Models Guided by Monte Carlo Tree Search.

Nicola Dainese, Matteo Merler, Minttu Alakuijala, Pekka Marttinen

CoRR, 2024

Benchmarking Educational Program Repair.

Charles Koutcheme, Nicola Dainese, Sami Sarsa, Juho Leinonen, Arto Hellas, Paul Denny

CoRR, 2024

In-Context Symbolic Regression: Leveraging Language Models for Function Discovery.

Matteo Merler, Nicola Dainese, Katsiaryna Haitsiukevich

CoRR, 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

Proceedings of the 2024 on Innovation and Technology in Computer Science Education V. 1, 2024

Can docstring reformulation with an LLM improve code generation?

Nicola Dainese, Alexander Ilin, Pekka Marttinen

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

Using Program Repair as a Proxy for Language Models' Feedback Ability in Programming Education.

Charles Koutcheme, Nicola Dainese, Arto Hellas

Proceedings of the 19th Workshop on Innovative Use of NLP for Building Educational Applications, 2024

In-Context Symbolic Regression: Leveraging Large Language Models for Function Discovery.

Matteo Merler, Katsiaryna Haitsiukevich, Nicola Dainese, Pekka Marttinen

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics, 2024

2023

Reader: Model-based language-instructed reinforcement learning.

Nicola Dainese, Pekka Marttinen, Alexander Ilin

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023