Making Bielik LLM Reason (Better): A Field Report
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arXiv
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| Auteurs principaux: | , , |
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| Format: | Preprint |
| Publié: |
2026
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| _version_ | 1866915853977518080 |
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| author | Trybus, Adam Bartnicki, Bartosz Kinas, Remigiusz |
| author_facet | Trybus, Adam Bartnicki, Bartosz Kinas, Remigiusz |
| contents | This paper presents a research program dedicated to evaluating and advancing the reasoning capabilities of Bielik, a Polish large language model. The study describes a number of stages of work: initial benchmarking and creation of evaluation methodology, analyzing of comparative results with other LLMs and outlining of future prospects that take into account the limitations of the analyses conducted so far and aims to keep Bielik in the race give the ever-changing -- and competitive -- AI landscape. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2603_10640 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Making Bielik LLM Reason (Better): A Field Report Trybus, Adam Bartnicki, Bartosz Kinas, Remigiusz Computation and Language This paper presents a research program dedicated to evaluating and advancing the reasoning capabilities of Bielik, a Polish large language model. The study describes a number of stages of work: initial benchmarking and creation of evaluation methodology, analyzing of comparative results with other LLMs and outlining of future prospects that take into account the limitations of the analyses conducted so far and aims to keep Bielik in the race give the ever-changing -- and competitive -- AI landscape. |
| title | Making Bielik LLM Reason (Better): A Field Report |
| topic | Computation and Language |
| url | https://arxiv.org/abs/2603.10640 |