Towards Auditing Large Language Models: Improving Text-based Stereotype Detection. - Zekun Wu 003; Sahan Bulathwela; Adriano Soares Koshiyama (CoRR, 2023)

Advancing Pain Recognition Through Statistical Correlation-Driven Multimodal Fusion. - Xingrui Gu; Zhixuan Wang; Irisa Jin; Zekun Wu 003 (ACII (Workshops and Demos), 2024)

JobFair: A Framework for Benchmarking Gender Hiring Bias in Large Language Models. - Ze Wang; Zekun Wu 003; Xin Guan; Michael Thaler; Adriano S. Koshiyama; Skylar Lu; Sachin Beepath; Ediz Ertekin Jr.; María Pérez-Ortiz 001 (EMNLP (Findings), 2024)

Eliciting Personality Traits in Large Language Models. - Airlie Hilliard; Cristian E. Muñoz; Zekun Wu 003; Adriano Soares Koshiyama (CoRR, 2024)

Advancing Multimodal Data Fusion in Pain Recognition: A Strategy Leveraging Statistical Correlation and Human-Centered Perspectives. - Xingrui Gu; Zhixuan Wang; Irisa Jin; Zekun Wu 003 (CoRR, 2024)

Auditing Large Language Models for Enhanced Text-Based Stereotype Detection and Probing-Based Bias Evaluation. - Zekun Wu 003; Sahan Bulathwela; María Pérez-Ortiz 001; Adriano Soares Koshiyama (CoRR, 2024)

From Text to Emoji: How PEFT-Driven Personality Manipulation Unleashes the Emoji Potential in LLMs. - Navya Jain; Zekun Wu 003; Cristian E. Muñoz; Airlie Hilliard; Adriano S. Koshiyama; Emre Kazim; Philip C. Treleaven (CoRR, 2024)

THaMES: An End-to-End Tool for Hallucination Mitigation and Evaluation in Large Language Models. - Mengfei Liang; Archish Arun; Zekun Wu 003; Cristian E. Muñoz; Jonathan Lutch; Emre Kazim; Adriano S. Koshiyama; Philip C. Treleaven (CoRR, 2024)

HEARTS: A Holistic Framework for Explainable, Sustainable and Robust Text Stereotype Detection. - Theo King; Zekun Wu 003; Adriano S. Koshiyama; Emre Kazim; Philip C. Treleaven (CoRR, 2024)

CauSkelNet: Causal Representation Learning for Human Behaviour Analysis. - Xingrui Gu; Chuyi Jiang; Erte Wang; Zekun Wu 003; Qiang Cui; Leimin Tian; Lianlong Wu; Siyang Song; Chuang Yu (CoRR, 2024)

Assessing Bias in Metric Models for LLM Open-Ended Generation Bias Benchmarks. - Nathaniel Demchak; Xin Guan; Zekun Wu 003; Ziyi Xu; Adriano S. Koshiyama; Emre Kazim (CoRR, 2024)

Bias Amplification: Language Models as Increasingly Biased Media. - Ze Wang; Zekun Wu 003; Jeremy Zhang; Navya Jain; Xin Guan; Adriano S. Koshiyama (CoRR, 2024)

SAGED: A Holistic Bias-Benchmarking Pipeline for Language Models with Customisable Fairness Calibration. - Xin Guan; Nathaniel Demchak; Saloni Gupta; Ze Wang; Ediz Ertekin Jr.; Adriano S. Koshiyama; Emre Kazim; Zekun Wu 003 (COLING, 2025)

From Text to Emoji: How PEFT-Driven Personality Manipulation Unleashes the Emoji Potential in LLMs. - Navya Jain; Zekun Wu 003; Cristian E. Muñoz Villalobos; Airlie Hilliard; Xin Guan; Adriano S. Koshiyama; Emre Kazim; Philip C. Treleaven (NAACL (Findings), 2025)

HyPA-RAG: A Hybrid Parameter Adaptive Retrieval-Augmented Generation System for AI Legal and Policy Applications. - Rishi Kalra; Zekun Wu 003; Ayesha Gulley; Airlie Hilliard; Xin Guan; Adriano S. Koshiyama; Philip C. Treleaven (NAACL (Industry Track), 2025)

LibVulnWatch: A Deep Assessment Agent System and Leaderboard for Uncovering Hidden Vulnerabilities in Open-Source AI Libraries. - Zekun Wu 003; Seonglae Cho; Umar Mohammed; Cristian E. Muñoz; Kleyton da Costa; Xin Guan; Theo King; Ze Wang; Emre Kazim; Adriano S. Koshiyama (CoRR, 2025)

MPF: Aligning and Debiasing Language Models post Deployment via Multi Perspective Fusion. - Xin Guan; PeiHsin Lin; Zekun Wu 003; Ze Wang; Ruibo Zhang; Emre Kazim; Adriano S. Koshiyama (CoRR, 2025)