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Zekun Wu

Saarland University, Germany

Bias Amplification: Language Models as Increasingly Biased Media

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Oct 19, 2024
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Assessing Bias in Metric Models for LLM Open-Ended Generation Bias Benchmarks

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Oct 14, 2024
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SAGED: A Holistic Bias-Benchmarking Pipeline for Language Models with Customisable Fairness Calibration

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Sep 17, 2024
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THaMES: An End-to-End Tool for Hallucination Mitigation and Evaluation in Large Language Models

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Sep 17, 2024
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HEARTS: A Holistic Framework for Explainable, Sustainable and Robust Text Stereotype Detection

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Sep 17, 2024
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From Text to Emoji: How PEFT-Driven Personality Manipulation Unleashes the Emoji Potential in LLMs

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Sep 16, 2024
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JobFair: A Framework for Benchmarking Gender Hiring Bias in Large Language Models

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Jun 17, 2024
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Enhancing Saliency Prediction in Monitoring Tasks: The Role of Visual Highlights

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May 15, 2024
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Shifting Focus with HCEye: Exploring the Dynamics of Visual Highlighting and Cognitive Load on User Attention and Saliency Prediction

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May 02, 2024
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Auditing Large Language Models for Enhanced Text-Based Stereotype Detection and Probing-Based Bias Evaluation

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Apr 02, 2024
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