Research output per year
Research output per year
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Dive into the research topics where Nicola Dainese is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Research output
- 5 Conference article in proceedings
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Can docstring reformulation with an LLM improve code generation?
Dainese, N., Ilin, A. & Marttinen, P., 2024, EACL 2024 - 18th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Student Research Workshop. Falk, N., Papi, S. & Zhang, M. (eds.). Association for Computational Linguistics, p. 296-312 17 p.Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review
Open Access -
In-Context Symbolic Regression : Leveraging Large Language Models for Function Discovery
Merler, M., Haitsiukevich, K., Dainese, N. & Marttinen, P., 2024, Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop). Fu, X. & Fleisig, E. (eds.). Association for Computational Linguistics, p. 589-606 18 p. (Proceedings of the Annual Meeting of the Association for Computational Linguistics; vol. 4).Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review
Open Access -
Open Source Language Models Can Provide Feedback : Evaluating LLMs' Ability to Help Students Using GPT-4-As-A-Judge
Koutcheme, C., Dainese, N., Sarsa, S., Hellas, A., Leinonen, J. & Denny, P., 3 Jul 2024, ITiCSE 2024 - Proceedings of the 2024 Conference Innovation and Technology in Computer Science Education. ACM, p. 52-58 7 p.Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review
Open AccessFile -
Using Program Repair as a Proxy for Language Models’ Feedback Ability in Programming Education
Koutcheme, C., Dainese, N. & Hellas, A., Jun 2024, Proceedings of the 19th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2024). Kochmar, E., Bexte, M., Burstein, J., Horbach, A., Laarmann-Quante, R., Tack, A., Yaneva, V. & Yuang, Z. (eds.). Association for Computational Linguistics, p. 165–181Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review
Open AccessFile22 Downloads (Pure) -
Reader: Model-based language-instructed reinforcement learning
Dainese, N., Marttinen, P. & Ilin, A., 2023, Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. Bouamor, H., Pino, J. & Bali, K. (eds.). Association for Computational Linguistics, p. 16583–16599Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review
Open AccessFile1 Citation (Scopus)72 Downloads (Pure)
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STN LITERACY jatko/Marttinen: Data Literacy for Responsible Decision-Making (DATALIT)
Marttinen, P. (Principal investigator), Gröhn, T. (Project Member), Pöllänen, A. (Project Member), Honkamaa, J. (Project Member) & Dainese, N. (Project Member)
01/10/2023 → 30/09/2026
Project: Academy of Finland: Strategic research funding
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-: Finnish Center for Artificial Intelligence
Ilin, A. (Principal investigator), Dainese, N. (Project Member), Kujanpää, K. (Project Member) & Smirnov, M. (Project Member)
01/01/2023 → 31/12/2026
Project: Academy of Finland: Other research funding
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FCAI: Finnish Center for Artificial Intelligence (FCAI)
Ilin, A. (Principal investigator), Smirnov, M. (Project Member), Kujanpää, K. (Project Member) & Dainese, N. (Project Member)
01/01/2020 → 31/12/2022
Project: Academy of Finland: Other research funding