output
20152026
most citedUIT-ISE-NLP at SemEval-2021 Task 5: Toxic Spans Detection with BiLSTM-CRF and ToxicBERT Comment Classification

7 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing cs.CLShow all

4 papers · 1 filter

cs.CL2026★ 1 cited

LLM Essay Scoring Under Holistic and Analytic Rubrics: Prompt Effects and Bias

Filip J. Kucia, Anirban Chakraborty, Anna Wróblewska

Despite growing interest in using Large Language Models (LLMs) for educational assessment, it remains unclear how closely they align with human scoring. We present a systematic eva…

cs.CL2025

EuroGEST: Investigating gender stereotypes in multilingual language models

Jacqueline Rowe, Mateusz Klimaszewski, Liane Guillou +2

Large language models increasingly support multiple languages, yet most benchmarks for gender bias remain English-centric. We introduce EuroGEST, a dataset designed to measure gend…

cs.CL2021★ 1 cited

Applying SoftTriple Loss for Supervised Language Model Fine Tuning

Witold Sosnowski, Anna Wroblewska, Piotr Gawrysiak

We introduce a new loss function TripleEntropy, to improve classification performance for fine-tuning general knowledge pre-trained language models based on cross-entropy and SoftT…

cs.CL2021★ 7 cited

UIT-ISE-NLP at SemEval-2021 Task 5: Toxic Spans Detection with BiLSTM-CRF and ToxicBERT Comment Classification

Son T. Luu, Ngan Luu-Thuy Nguyen

We present our works on SemEval-2021 Task 5 about Toxic Spans Detection. This task aims to build a model for identifying toxic words in whole posts. We use the BiLSTM-CRF model com…