Wojciech Kusa

As Large Language Models (LLMs) are deployed globally, ensuring their safety and alignment across multiple languages becomes paramount. However, safety behaviors often vary unpredictably between languages, posing significant challenges for consistent and ethical AI. In this work, we systematicall...

The success of clinical trials depends on the recruitment of patients who match strict inclusion criteria. The development of effective patient to clinical trial matching systems depends on benchmarking datasets that support systematic evaluation. Apart from resources that are created in English...

Benchmark collections have long enabled controlled comparison and cumulative progress in Information Retrieval (IR). However, prior meta-analyses show that reported effectiveness gains often fail to accumulate, in part due to weak or outdated baselines. Large language models (LLMs) are increasing...