Master Thesis: Calibrating LLM-as-a-Judge for Swedish Fluency vs. Adequacy

As Sweden's national center for applied AI, we're on a mission to accelerate the use of AI to benefit our society, our competitiveness, and everyone living in Sweden. We drive impactful initiatives in areas such as healthcare, energy, and public services while pushing the boundaries of AI research in fields such as natural language processing, machine learning and AI security. Join us in harnessing the untapped value of AI to drive innovation and create sustainable value for Sweden.

We are now looking for a master thesis student to join our team.

Project Background and Problem Statement

In WP5, OpenEuroLLM is relying on the JudgeArena framework. For Swedish, we face the challenge that English-centric judge models misjudge local knowledge or nuanced fluency. This thesis explores whether providing an LLM judge with few-shot, human-calibrated Swedish examples can effectively decouple fluency from adequacy, aligning the automated Elo scores with human expert ratings.

Who we’re looking for

We are seeking curious, self-driven MSc students eager to work at the frontier of open-weight European AI research (LLMs). You thrive on empirical discovery, design rigorous experiments, and let data challenge your assumptions.

• Ongoing Master’s studies in Computer Science, Data Science, Machine Learning, Engineering Physics, or a related quantitative field.

• Proficiency in Python and hands-on experience with modern deep learning frameworks (PyTorch, Hugging Face ecosystem).

• Familiarity with LLM post-training alignment (e.g., SFT, DPO, RLHF/RLVR) or context-extension, alongside comfort running distributed GPU training in Linux/HPC environments.

At AI Sweden, we are committed to building diverse and inclusive teams. Some positions may be subject to export control regulations, which means that specific requirements may apply.

If you have any questions or thoughts, don’t hesitate to contact

Anna Lokrantz, AI Engineer

Danila Petrelli, Senior Data Lead/Research Scientist

AI Sweden does not accept unsolicited support and kindly ask not to be contacted by any advertisement agents, recruitment agencies or manning companies.

References

[1] Zheng, L., et al., "Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena," NeurIPS 2023.

[2] OpenEuroLLM WP5, "JudgeArena Framework," 2026.