Papers by Tomasz Walkowiak

2 papers
Evaluating Cost-Efficiency of LLMs in a RAG Setup on Polish Wikipedia: Quality vs. Energy Consumption (2026.eacl-srw)

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Challenge: Retrieval-augmented generation systems are a dominant paradigm for knowledge-intensive applications.
Approach: They evaluate language models from 4B to 70B parameters within a Polish Wikipedia-based RAG pipeline.
Outcome: The proposed model selection process reduces energy consumption by 83% and improves quality.
Comprehensive Punctuation Restoration for English and Polish (2021.findings-emnlp)

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Challenge: Punctuation restoration is a fundamental requirement for the readability of text derived from Automatic Speech Recognition systems.
Approach: They evaluate several methods in the comprehensive punctuation reconstruction task by comparing two languages with a model to determine the quality of the punctuated word.
Outcome: The proposed model improves on two languages with relatively simple and complex morphologies.

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