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Wojciech Kusa

5 accepted papers

2025

Aurora-M: Open Source Continual Pre-training for Multilingual Language and Code

Taishi Nakamura, Mayank Mishra, Simone Tedeschi, Yekun Chai, Jason T. Stillerman, Felix Friedrich +35
COLING 2025industry

Pretrained language models are integral part of AI applications, but their high computational cost for training limits accessibility. Initiatives such as Bloom and StarCoder aim to democratize access to pretrained models for collaborative community development. Despite these efforts, such models enc…

Cited by 2Source ↗PDF ↗Scholar ↗
2025

ConECT Dataset: Overcoming Data Scarcity in Context-Aware E-Commerce MT

Mikołaj Pokrywka, Wojciech Kusa, Mieszko Rutkowski, Mikołaj Koszowski
ACL 2025short

Neural Machine Translation (NMT) has improved translation by using Transformer-based models, but it still struggles with word ambiguity and context. This problem is especially important in domain-specific applications, which often have problems with unclear sentences or poor data quality. Our resear…

Cited by 0Source ↗PDF ↗Scholar ↗
2024

AustroTox: A Dataset for Target-Based Austrian German Offensive Language Detection

Pia Pachinger, Janis Goldzycher, Anna Planitzer, Wojciech Kusa, Allan Hanbury, Julia Neidhardt
ACL 2024findings

Model interpretability in toxicity detection greatly profits from token-level annotations. However, currently, such annotations are only available in English. We introduce a dataset annotated for offensive language detection sourced from a news forum, notable for its incorporation of the Austrian Ge…

Cited by 3Source ↗PDF ↗code ↗Scholar ↗
2023

CSMeD: Bridging the Dataset Gap in Automated Citation Screening for Systematic Literature Reviews

Wojciech Kusa, Oscar E. Mendoza, Matthias Samwald, Petr Knoth, Allan Hanbury
NeurIPS 2023poster

Systematic literature reviews (SLRs) play an essential role in summarising, synthesising and validating scientific evidence. In recent years, there has been a growing interest in using machine learning techniques to automate the identification of relevant studies for SLRs. However, the lack of stand…

Cited by 14Source ↗PDF ↗code ↗Scholar ↗
2022

BigBio: A Framework for Data-Centric Biomedical Natural Language Processing

Jason Alan Fries, Leon Weber, Natasha Seelam, Gabriel Altay, Debajyoti Datta, Samuele Garda +37
NeurIPS 2022accept

Training and evaluating language models increasingly requires the construction of meta-datasets -- diverse collections of curated data with clear provenance. Natural language prompting has recently lead to improved zero-shot generalization by transforming existing, supervised datasets into a variety…

Cited by 58Source ↗PDF ↗code ↗Scholar ↗