22 citations · 32 across the 4 of their papers we have counts for
5 papers
On the Effectiveness of LLM-Specific Fine-Tuning for Detecting AI-Generated Text
Michał Gromadzki, Anna Wróblewska, Agnieszka Kaliska
The rapid progress of large language models has enabled the generation of text that closely resembles human writing, creating challenges for authenticity verification in education,…
TASTEset -- Recipe Dataset and Food Entities Recognition Benchmark
Ania Wróblewska, Agnieszka Kaliska, Maciej Pawłowski +3
Food Computing is currently a fast-growing field of research. Natural language processing (NLP) is also increasingly essential in this field, especially for recognising food entiti…
Kleister: Key Information Extraction Datasets Involving Long Documents with Complex Layouts
Tomasz Stanisławek, Filip Graliński, Anna Wróblewska +5
The relevance of the Key Information Extraction (KIE) task is increasingly important in natural language processing problems. But there are still only a few well-defined problems t…
Kleister: A novel task for Information Extraction involving Long Documents with Complex Layout
Filip Graliński, Tomasz Stanisławek, Anna Wróblewska +5
State-of-the-art solutions for Natural Language Processing (NLP) are able to capture a broad range of contexts, like the sentence-level context or document-level context for short…
Contract Discovery: Dataset and a Few-Shot Semantic Retrieval Challenge with Competitive Baselines
Łukasz Borchmann, Dawid Wiśniewski, Andrzej Gretkowski +7
We propose a new shared task of semantic retrieval from legal texts, in which a so-called contract discovery is to be performed, where legal clauses are extracted from documents, g…