6 papers
Detecting Information Channels in Congressional Trading via Temporal Graph Learning
Benjamin Pham Roodman, Eugene Sy, J. Xavier Atero Vázquez +3
Congressional stock trading has raised concerns about potential information asymmetries and conflicts of interest in financial markets. We introduce a temporal graph network (TGN)…
Beyond Uniform Token Training: A Multi-Target Framework for Learning Token-Weighted Objectives in Generative Recommenders
Wei-Ning Chiu, Chuan-Ju Wang, Song-Duo Ma +2
Recent generative recommendation models recast next-item prediction as the generation of a semantic identifier sequence. While this formulation enables autoregressive models to pro…
Financial Risk Relation Identification through Dual-view Adaptation
Wei-Ning Chiu, Yu-Hsiang Wang, Andy Hsiao +2
A multitude of interconnected risk events -- ranging from regulatory changes to geopolitical tensions -- can trigger ripple effects across firms. Identifying inter-firm risk relati…
FinNuE: Exposing the Risks of Using BERTScore for Numerical Semantic Evaluation in Finance
Yu-Shiang Huang, Yun-Yu Lee, Tzu-Hsin Chou +2
BERTScore has become a widely adopted metric for evaluating semantic similarity between natural language sentences. However, we identify a critical limitation: BERTScore exhibits l…
An LLM Agent-Based Complex Semantic Table Annotation Approach
Yilin Geng, Shujing Wang, Chuan Wang +5
The Semantic Table Annotation (STA) task, which includes Column Type Annotation (CTA) and Cell Entity Annotation (CEA), maps table contents to ontology entities and plays important…
Decision-Oriented Text Evaluation
Yu-Shiang Huang, Chuan-Ju Wang, Chung-Chi Chen
Natural language generation (NLG) is increasingly deployed in high-stakes domains, yet common intrinsic evaluation methods, such as n-gram overlap or sentence plausibility, weakly…