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2020 – today
- 2024
[c5]Matteo Merler, Katsiaryna Haitsiukevich, Nicola Dainese, Pekka Marttinen:
In-Context Symbolic Regression: Leveraging Large Language Models for Function Discovery. ACL (Student Research Workshop) 2024: 589-606- [c4]Charles Koutcheme, Nicola Dainese, Arto Hellas:
Using Program Repair as a Proxy for Language Models' Feedback Ability in Programming Education. BEA 2024: 165-181 - [c3]Nicola Dainese, Alexander Ilin, Pekka Marttinen:
Can docstring reformulation with an LLM improve code generation? EACL (Student Research Workshop) 2024: 296-312 - [c2]Charles Koutcheme
, Nicola Dainese, Sami Sarsa, Arto Hellas, Juho Leinonen, Paul Denny:
Open Source Language Models Can Provide Feedback: Evaluating LLMs' Ability to Help Students Using GPT-4-As-A-Judge. ITiCSE (1) 2024 - [i5]Matteo Merler, Nicola Dainese, Katsiaryna Haitsiukevich:
In-Context Symbolic Regression: Leveraging Language Models for Function Discovery. CoRR abs/2404.19094 (2024) - [i4]Charles Koutcheme, Nicola Dainese, Sami Sarsa, Arto Hellas, Juho Leinonen, Paul Denny:
Open Source Language Models Can Provide Feedback: Evaluating LLMs' Ability to Help Students Using GPT-4-As-A-Judge. CoRR abs/2405.05253 (2024) - [i3]Charles Koutcheme, Nicola Dainese, Sami Sarsa, Juho Leinonen, Arto Hellas, Paul Denny:
Benchmarking Educational Program Repair. CoRR abs/2405.05347 (2024) - [i2]Nicola Dainese, Matteo Merler, Minttu Alakuijala, Pekka Marttinen:
Generating Code World Models with Large Language Models Guided by Monte Carlo Tree Search. CoRR abs/2405.15383 (2024) - [i1]Charles Koutcheme, Nicola Dainese, Arto Hellas, Sami Sarsa, Juho Leinonen, Syed Ashraf, Paul Denny:
Evaluating Language Models for Generating and Judging Programming Feedback. CoRR abs/2407.04873 (2024) - 2023
- [c1]Nicola Dainese, Pekka Marttinen, Alexander Ilin:
Reader: Model-based language-instructed reinforcement learning. EMNLP 2023: 16583-16599
Coauthor Index
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