IAESTE Intern Summer 2025, 1.7. - 31.8.2025

Goal: Evaluate and improve language models for summarization in Slovak medical or legal domain.

Tasks:

1. Get familiar with basic tools
   • and prepare working environment: HF transformers, datasets, lm-evaluation-harness, HF trl
   • Read several recent papers about summarization using LLM and write a report.
   • Get familiar how to perform and evaluate document summarization using language models in Slovak.
2. Make a comparison experiment
   • Pick summarization datasets and models. Evaluate several models for evaluation using ROUGE and BLEU metrics.
   • https://github.com/slovak-nlp/resources
   • Describe the experiments. Summarize results in a table. Describe the results.
3. Improve performance of a languge model.
   • Use more data. Prepare a domain-oriented dataset and finetune a model. Maybe generate artificial data to imporve summarization.
   • Run new expriments and write down the results.
4. Report and disseminate
   • Prepare a final report with analysis, experiments and conclusions.
   • Publish the fine-tuned models in HF HUB. Publish the paper from the project.