7 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…
MixRea: Benchmarking Explicit-Implicit Reasoning in Large Language Models
Yuanqing Cai, Ziyi Huang, Minhao Liu +3
Large language models (LLMs) are increasingly integrated into high-stakes decision-making. Inspired by the theory of \emph{inattentional blindness} in human cognition, we investiga…
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…
Interpretable Credit Default Prediction with Ensemble Learning and SHAP
Shiqi Yang, Ziyi Huang, Wengran Xiao +1
This study focuses on the problem of credit default prediction, builds a modeling framework based on machine learning, and conducts comparative experiments on a variety of mainstre…
Post-interactive Multimodal Trajectory Prediction for Autonomous Driving
Ziyi Huang, Yang Li, Dushuai Li +3
Modeling the interactions among agents for trajectory prediction of autonomous driving has been challenging due to the inherent uncertainty in agents' behavior. The interactions in…