# Making Bielik LLM Reason (Better): A Field Report

arXiv: https://arxiv.org/abs/2603.10640 · HTML: https://mlsanity.com/paper/2603.10640/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Placed in Reasoning benchmarks and evaluation, one of 17 directions in LLM reasoning.
- Builds on 4 of its 5 references that are in the map.
- First posted on arXiv 11 Mar 2026.

## Placed in

- LLM reasoning / [Reasoning benchmarks and evaluation](https://mlsanity.com/lr/reasoning-benchmarks-and-evaluation/)

## Builds on (most cited first, 4 of 4)

- [Bielik 7B v0.1: A Polish Language Model -- Development, Insights, and Evaluation](https://mlsanity.com/paper/2410.18565/) (2024)
- [Bielik v3 Small: Technical Report](https://mlsanity.com/paper/2505.02550/) (2025)
- [Bielik 11B v2 Technical Report](https://mlsanity.com/paper/2505.02410/) (2025)
- [Bielik Guard: Efficient Polish Language Safety Classifiers for LLM Content Moderation](https://mlsanity.com/paper/2602.07954/) (2026)

## Abstract (arXiv)

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.