List of main publications

• Nicola Dainese, Pekka Marttinen, Alexander Ilin, “Reader: Model-based language-instructed reinforcement learning”, EMNLP 2023.
• Nicola Dainese, Alexander Ilin, Pekka Marttinen, “Can docstring reformulation with an LLM improve code generation?”, EACL Student Research Workshop 2024.
• Matteo Merler*, Katsiaryna Haitsiukevich*, Nicola Dainese*, Pekka Marttinen, “In-context symbolic regression: Leveraging large language models for function discovery”, ACL Student Research Workshop 2024.
• Nicola Dainese*, Matteo Merler*, Minttu Alakuijala, Pekka Marttinen, “Generating Code World Models with Large Language Models Guided by Monte Carlo Tree Search”, NeurIPS 2024.
• Matteo Merler*, Nicola Dainese*, Minttu Alakuijala, Giovanni Bonetta, Pietro Ferrazzi, Yu Tian, Bernardo Magnini, Pekka Marttinen, “ViPlan: A Benchmark for Visual Planning with Symbolic Predicates and Vision-Language Models”, ArXiv, 2025.

* Denotes equal contribution.

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