---
title: Youssef Ressaissi
published: true
taxonomy:
    category: [iaeste]
    tag: [summarization,nlp]
    author: Daniel Hladek
---


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.