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Poster
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Tue 15:15
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Rethinking Semi-Supervised Imbalanced Node Classification from Bias-Variance Decomposition
Divin Yan · Gengchen Wei · Chen Yang · Shengzhong Zhang · zengfeng Huang
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Workshop
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Implicit biases in multitask and continual learningfrom a backward error analysis perspective
Benoit Dherin
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Workshop
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Reinforcement Learning Fine-tuning of Language Models is Biased Towards More Extractable Features
Diogo Cruz · Edoardo Pona · Alex Holness-Tofts · Elias Schmied · Víctor Abia Alonso · Charlie J Griffin · Bogdan-Ionut Cirstea
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Workshop
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Networked Inequality: Preferential Attachment Bias in Graph Neural Network Link Prediction
Arjun Subramonian · Levent Sagun · Yizhou Sun
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Workshop
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Probing Intersectional Biases in Vision-Language Models with Counterfactual Examples
Phillip Howard · Avinash Madasu · Tiep Le · Gustavo Lujan-Moreno · VASUDEV LAL
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Workshop
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Mitigating stereotypical biases in text to image generative systems
Piero Esposito · Parmida Atighehchian · Anastasis Germanidis · Deepti Ghadiyaram
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Workshop
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Fri 12:50
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#45: Assessing LLMs for Moral Value Pluralism - (Spoiler Alert: They’re not There Yet)
Sonja Schmer-Galunder · Noam Benkler · Drisana Mosaphir · Andrew Smart · Scott Friedman
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Workshop
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Scalar Invariant Networks with Zero Bias
Chuqin Geng · Xiaojie Xu · Haolin Ye · Xujie Si
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Affinity Workshop
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Building Domain-Specific LLMs Faithful To The Islamic Worldview: Mirage or Technical Possibility?
Shabaz Patel · Mohamed Kane
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Workshop
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On Mitigating Shortcut Learning for Fair Chest X-ray Classification under Distribution Shift
Yuzhe Yang · Haoran Zhang · Dina Katabi · Marzyeh Ghassemi
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Workshop
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On the notion of Hallucinations from the lens of Bias and Validity in Synthetic CXR Images
Gauri Bhardwaj · Yuvaraj Govindarajulu · Sundaraparipurnan Narayanan · Manojkumar Parmar
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Workshop
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Balancing the Picture: Debiasing Vision-Language Datasets with Synthetic Contrast Sets
Brandon Smith · Miguel Farinha · Siobhan Mackenzie Hall · Hannah Rose Kirk · Aleksandar Shtedritski · Max Bain
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