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Zekun Wu 0003
Person information
- affiliation: University College London, UK
Other persons with the same name
- Zekun Wu 0001
— Saarland University, Germany (and 2 more)
- Zekun Wu 0002
- Zekun Wu 0004 — Peking University, Wangxuan Institute of Computer Technology, Beijing, China
- Zekun Wu 0005 — Dalian University of Technology, Dalian, China
- Zekun Wu 0006 — Zhejiang University of Science and Technology, School of Information and Electronic Engineering, Hangzhou, China
- Zekun Wu 0007
- Zekun Wu 0008 — Xiamen Huaxia University, Xiamen, Fujian, China
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2020 – today
- 2025
- [c5]Xin Guan, Nathaniel Demchak, Saloni Gupta, Ze Wang, Ediz Ertekin Jr., Adriano S. Koshiyama, Emre Kazim, Zekun Wu:
SAGED: A Holistic Bias-Benchmarking Pipeline for Language Models with Customisable Fairness Calibration. COLING 2025: 3002-3026 - [c4]Rishi Kalra, Zekun Wu, Ayesha Gulley, Airlie Hilliard, Xin Guan, Adriano S. Koshiyama, Philip C. Treleaven:
HyPA-RAG: A Hybrid Parameter Adaptive Retrieval-Augmented Generation System for AI Legal and Policy Applications. NAACL (Volume 3: Industry Track) 2025: 1036-1054 - [c3]Navya Jain, Zekun Wu, Cristian E. Muñoz Villalobos, Airlie Hilliard, Xin Guan, Adriano S. Koshiyama, Emre Kazim, Philip C. Treleaven:
From Text to Emoji: How PEFT-Driven Personality Manipulation Unleashes the Emoji Potential in LLMs. NAACL (Findings) 2025: 4687-4723 - 2024
- [c2]Xingrui Gu, Zhixuan Wang, Irisa Jin, Zekun Wu:
Advancing Pain Recognition Through Statistical Correlation-Driven Multimodal Fusion. ACII (Workshops and Demos) 2024: 281-289 - [c1]Ze Wang, Zekun Wu, Xin Guan, Michael Thaler, Adriano S. Koshiyama, Skylar Lu, Sachin Beepath, Ediz Ertekin Jr., María Pérez-Ortiz:
JobFair: A Framework for Benchmarking Gender Hiring Bias in Large Language Models. EMNLP (Findings) 2024: 3227-3246 - [i13]Airlie Hilliard, Cristian Muñoz, Zekun Wu, Adriano Soares Koshiyama:
Eliciting Personality Traits in Large Language Models. CoRR abs/2402.08341 (2024) - [i12]Xingrui Gu, Zhixuan Wang, Irisa Jin, Zekun Wu:
Advancing Multimodal Data Fusion in Pain Recognition: A Strategy Leveraging Statistical Correlation and Human-Centered Perspectives. CoRR abs/2404.00320 (2024) - [i11]Zekun Wu, Sahan Bulathwela, María Pérez-Ortiz, Adriano Soares Koshiyama:
Auditing Large Language Models for Enhanced Text-Based Stereotype Detection and Probing-Based Bias Evaluation. CoRR abs/2404.01768 (2024) - [i10]Ze Wang, Zekun Wu, Xin Guan, Michael Thaler, Adriano S. Koshiyama, Skylar Lu, Sachin Beepath, Ediz Ertekin Jr., María Pérez-Ortiz:
JobFair: A Framework for Benchmarking Gender Hiring Bias in Large Language Models. CoRR abs/2406.15484 (2024) - [i9]Rishi Kalra, Zekun Wu, Ayesha Gulley, Airlie Hilliard, Xin Guan, Adriano S. Koshiyama, Philip C. Treleaven:
HyPA-RAG: A Hybrid Parameter Adaptive Retrieval-Augmented Generation System for AI Legal and Policy Applications. CoRR abs/2409.09046 (2024) - [i8]Navya Jain, Zekun Wu, Cristian Muñoz, Airlie Hilliard, Adriano S. Koshiyama, Emre Kazim, Philip C. Treleaven:
From Text to Emoji: How PEFT-Driven Personality Manipulation Unleashes the Emoji Potential in LLMs. CoRR abs/2409.10245 (2024) - [i7]Xin Guan, Nathaniel Demchak, Saloni Gupta, Ze Wang, Ediz Ertekin Jr., Adriano S. Koshiyama, Emre Kazim, Zekun Wu:
SAGED: A Holistic Bias-Benchmarking Pipeline for Language Models with Customisable Fairness Calibration. CoRR abs/2409.11149 (2024) - [i6]Mengfei Liang, Archish Arun, Zekun Wu, Cristian Muñoz, Jonathan Lutch, Emre Kazim, Adriano S. Koshiyama, Philip C. Treleaven:
THaMES: An End-to-End Tool for Hallucination Mitigation and Evaluation in Large Language Models. CoRR abs/2409.11353 (2024) - [i5]Theo King, Zekun Wu, Adriano S. Koshiyama, Emre Kazim, Philip C. Treleaven:
HEARTS: A Holistic Framework for Explainable, Sustainable and Robust Text Stereotype Detection. CoRR abs/2409.11579 (2024) - [i4]Xingrui Gu, Chuyi Jiang, Erte Wang, Zekun Wu, Qiang Cui, Leimin Tian, Lianlong Wu, Siyang Song, Chuang Yu:
CauSkelNet: Causal Representation Learning for Human Behaviour Analysis. CoRR abs/2409.15564 (2024) - [i3]Nathaniel Demchak, Xin Guan
Assessing Bias in Metric Models for LLM Open-Ended Generation Bias Benchmarks. CoRR abs/2410.11059 (2024) - [i2]Ze Wang, Zekun Wu, Jeremy Zhang, Navya Jain, Xin Guan, Adriano S. Koshiyama:
Bias Amplification: Language Models as Increasingly Biased Media. CoRR abs/2410.15234 (2024) - 2023
- [i1]Zekun Wu, Sahan Bulathwela, Adriano Soares Koshiyama:
Towards Auditing Large Language Models: Improving Text-based Stereotype Detection. CoRR abs/2311.14126 (2023)
Coauthor Index
aka: Adriano Soares Koshiyama
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