Making Bielik LLM Reason (Better): A Field Report
arXiv: 2603.10640v1
发布: 2026-03-11
更新: 2026-03-11
AI 摘要
该论文评估并提升波兰语LLM Bielik的推理能力,提出了评估方法并分析了其与其它LLM的对比。
主要贡献
- 创建Bielik LLM推理能力评估方法
- 对比Bielik与其它LLM的推理能力
- 分析Bielik的局限性并提出改进方向
方法论
论文采用基准测试,对比分析等方法评估Bielik LLM的推理能力,并根据结果进行改进。
原文摘要
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.