5 papers
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…
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.…
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…
SR-LLM: Rethinking the Structured Representation in Large Language Model
Jiahuan Zhang, Tianheng Wang, Hanqing Wu +7
Structured representations, exemplified by Abstract Meaning Representation (AMR), have long been pivotal in computational linguistics. However, their role remains ambiguous in the…