6 papers
Ensemble Diversity Optimization for Subjective Supervision
Xia Cui, Ziyi Huang, N. R. Abeynayake
Subjective NLP tasks often exhibit systematic annotator disagreement, requiring models that represent uncertainty rather than collapse it. We introduce Ensemble Diversity Optimizat…
SemCovNet: Towards Fair and Semantic Coverage-Aware Learning for Underrepresented Visual Concepts
Sakib Ahammed, Xia Cui, Xinqi Fan +2
Modern vision models increasingly rely on rich semantic representations that extend beyond class labels to include descriptive concepts and contextual attributes. However, existing…
Addressing Data Imbalance in Transformer-Based Multi-Label Emotion Detection with Weighted Loss
Xia Cui
This paper explores the application of a simple weighted loss function to Transformer-based models for multi-label emotion detection in SemEval-2025 Shared Task 11. Our approach ad…
PromotionGo at SemEval-2025 Task 11: A Feature-Centric Framework for Cross-Lingual Multi-Emotion Detection in Short Texts
Ziyi Huang, Xia Cui
This paper presents our system for SemEval 2025 Task 11: Bridging the Gap in Text-Based Emotion Detection (Track A), which focuses on multi-label emotion detection in short texts.…
Bias in, Bias out: Annotation Bias in Multilingual Large Language Models
Xia Cui, Ziyi Huang, Naeemeh Adel
Annotation bias in NLP datasets remains a major challenge for developing multilingual Large Language Models (LLMs), particularly in culturally diverse settings. Bias from task fram…
Deep Learning-Based Forecasting of Hotel KPIs: A Cross-City Analysis of Global Urban Markets
C. J. Atapattu, Xia Cui, N. R Abeynayake
This study employs Long Short-Term Memory (LSTM) networks to forecast key performance indicators (KPIs), Occupancy (OCC), Average Daily Rate (ADR), and Revenue per Available Room (…