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

7 citations

10 papers

cs.DC2026

QCOEM: Quantum Cloud Orchestration with Evolutionary Multi-Objective Optimization

Tam N. Pham, Hoa T. Nguyen, Quan Le-Trung

Quantum cloud platforms need to dynamically orchestrate workloads across heterogeneous quantum computation backends whose noise profiles, qubit topologies, and queues vary over tim…

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…

stat.ML2024★ 6 cited

Investigating the Impact of Balancing, Filtering, and Complexity on Predictive Multiplicity: A Data-Centric Perspective

Mustafa Cavus, Przemyslaw Biecek

The Rashomon effect presents a significant challenge in model selection. It occurs when multiple models achieve similar performance on a dataset but produce different predictions,…

math.DS2023

On the complexity of polygonal billiards

Tyll Krueger, Arnaldo Nogueira, Serge Troubetzkoy

We show that the complexity of the billiard in a typical polygon grows cubically and the number of saddle connections grows quadratically along certain subsequences. It is known th…

cs.AI2023

A Text-based Approach For Link Prediction on Wikipedia Articles

Anh Hoang Tran, Tam Minh Nguyen, Son T. Luu

This paper present our work in the DSAA 2023 Challenge about Link Prediction for Wikipedia Articles. We use traditional machine learning models with POS tags (part-of-speech tags)…

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…

cs.CY2018

Bringing Together Project Simulation and Psychometric Tests: A Business Game Proposal

Michał Okulewicz, Weronika Aniper, Bartłomiej Dach +3

This article identifies a gap between the existence of a various psychometric tests approaches and other team performance assessment tools (e.g. business and management games). As…

math.NA2015

On recursive algorithms for inverting tridiagonal matrices

Paweł Keller, Iwona Wróbel

If is a tridiagonal matrix, then the equations and defining the inverse of are in fact the second order recurrence relations for the elements in each row…