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Workshop
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Sat 14:40
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Contributed talk: Different Horses for Different Courses: Comparing Bias Mitigation Algorithms in ML
Prakhar Ganesh
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Workshop
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Bias Analysis for Unconditional Image Generative Models
Xiaofeng Zhang · Simon Lacoste-Julien · Aaron Courville · Yash Goyal
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Workshop
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Developing an occupational prestige scale using Large Language Models
Robert de Vries · Mark Hill · Laura Ruis
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Workshop
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Large Language Models Still Exhibit Bias in Long Text
Wonje Jeung · Dongjae Jeon · Ashkan Yousefpour · Jonghyun Choi
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Workshop
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Quantifying Positional Biases in Text Embedding Models
Samarth Goel · Reagan Lee · Kannan Ramchandran
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Workshop
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CoS: Enhancing Personalization and Mitigating Bias with Context Steering
Sashrika Pandey · Jerry He · Mariah Schrum · Anca Dragan
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Workshop
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Safe and Sound: Evaluating Language Models for Bias Mitigation and Understanding
Shaina Raza · Deval Pandya · Shardul ghuge · Nifemi
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Workshop
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Self-Preference Bias in LLM-as-a-Judge
Koki Wataoka · Tsubasa Takahashi · Ryokan Ri
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Workshop
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Decoding Diffusion: A Scalable Framework for Unsupervised Analysis of Latent Space Biases and Representations Using Natural Language Prompts
Emily Zhixuan Zeng · Yuhao Chen · Alexander Wong
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Workshop
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Benchmark to Audit LLM Generated Clinical Notes for Disparities Arising from Biases and Stereotypes
Hongyu Cai · Swetasudha Panda · Naveen Jafer Nizar · Qinlan Shen · Daeja Oxendine · Sumana Srivatsa · Krishnaram Kenthapadi
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Affinity Event
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Embracing Queer and Crip Complexity in Machine Learning: Dirty Resilience and Sweaty AI
Gopinaath Kannabiran · Sacha Knox
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Workshop
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LLMs Infer Protected Attributes Beyond Proxy Features
Dimitri Staufer
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