5 citations · 5 across the 10 of their papers we have counts for
10 papers
An Open Pipeline and Dashboard for Systemic-Risk Evidence under the EU AI Act's Code of Practice
Jacob T. Emmerson, Phuong-Anh Nguyen-Le, Ronan Romano +3
Claims about AI safety reach audiences well beyond the AI community, yet many rely on opaque evidence or static assessments, when supporting evidence is accessible at all. We prese…
From UNDRR Reports to Event Records: Schema-Constrained LLM Extraction of Georeferenced Disasters
Camilla Andreozzi, Phuong-Anh Nguyen-Le, Zhijing Jin +1
Disaster-risk-reduction archives describe hazard events in prose that databases such as EM-DAT (Delforge et al., 2025) cannot ingest directly. We present an LLM pipeline that gener…
TurEngMix: A Text Corpus and Benchmark for Turkish-English Code-Mixed Language Identification and Named Entity Recognition
Ilayda Dogan, Phuong-Anh Nguyen-Le, Julia Mendelsohn
Natural language processing systems underperform on code-mixed text, particularly for low-resource language pairs. Turkish-English poses a further challenge: it lets English stems…
Bias in the Tails: How Name-conditioned Evaluative Framing in Resume Summaries Destabilizes LLM-based Hiring
Huy Nghiem, Phuong-Anh Nguyen-Le, Sy-Tuyen Ho +1
Research has documented LLMs' name-based bias in hiring and salary recommendations. In this paper, we instead consider a setting where LLMs generate candidate summaries for downstr…
'Rich Dad, Poor Lad': How do Large Language Models Contextualize Socioeconomic Factors in College Admission ?
Huy Nghiem, Phuong-Anh Nguyen-Le, John Prindle +2
Large Language Models (LLMs) are increasingly involved in high-stakes domains, yet how they reason about socially sensitive decisions remains underexplored. We present a large-scal…
How May U.S. Courts Scrutinize Their Recidivism Risk Assessment Tools? Contextualizing AI Fairness Criteria on a Judicial Scrutiny-based Framework
Tin Nguyen, Jiannan Xu, Phuong-Anh Nguyen-Le +4
The AI/HCI and legal communities have developed largely independent conceptualizations of fairness. This conceptual difference hinders the potential incorporation of technical fair…