Debiasing

Momentum

1 paper in the last four weeks, down 67% on the four weeks before. 0.0% of all new papers.

Jul 6Week of Sep 21

Latest papers 24

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  1. Debias Anything: Fairness with Diversity without Supervision in Diffusion Models

    Oct 1, 2026Théau d'Audiffret, Mariia Vladimirova, Jean-Yves FranceschiDiffusion ModelsAlgorithmic Fairness

  2. Acmite: Mitigating Gender Bias in LLMs through Concept-Guided Mutual Information

    Oct 1, 2026Tian Lan, Xiaoqing Cheng, Han Zhang +1Gender BiasStereotype Mitigation

  3. Learning-Enabled Estimation: Tight Characterizations under Sample Selection Biases

    Sep 29, 2026Vikram Kher, Jane H. Lee, Anay Mehrotra +1Selection BiasFinite-Sample

  4. OFBD: Object-Focused Background Debiasing for Long-Tailed Learning

    Sep 29, 2026Shenghan Chen, Yiming Liu, Zhipeng Deng +6Out-Of-Distribution DetectionDebiasing

  5. Authority Bias in Conversational Search Engines for Academic Paper Recommendation

    Aug 31, 2026Uthman Jinadu, Parsa Ghazvinian, Anjila Budathoki +3Large Language Model BiasLarge Language Model Decisions

  6. Localizing to Debias: A Patch-Level Benchmark and Baseline for Weakly Supervised Spatial Anomaly Detection

    Aug 12, 2026Sara Abdulaziz, Abdulrahman Al-Abri, Giacomo D'Amicantonio +1Training-Free Video Anomaly DetectionSpatial Supervision

  7. Debias in Text, Believe Your Eyes: Text-Anchored Cross-Modal Transfer for Visual Counter-Commonsense Reasoning

    Aug 7, 2026Chen Ling, Hanqian Li, Dongnan Liu +9Multimodal Large Language ModelsVisual Evidence

  8. A Heuristic Perspective on Debiasing Language Models

    Aug 1, 2026Tian Lan, Yemin Wang, Chuancheng Shi +6Large Language Model BiasDebiasing

  9. PinEqualizer: Full Funnel Content Exploration and Debiasing System at Pinterest

    Jul 24, 2026Olafur Gudmundsson, Bo Zhao, Huayi Liao +15Debiasing

  10. Dual-Branch Cross-Projection Debiasing through Diffusion-based Disentanglement

    Jun 23, 2026Xiangqian Zhao, Xinyang Jiang, Zhipeng Xu +5DebiasingUnsupervised

  11. Uncertainty-based Debiasing and Unlearning for Decontamination

    Jun 22, 2026Guangzhi Sun, Xiao Zhan, Mark GalesLarge Language Model UnlearningDebiasing

  12. Debiasing Without Protected Attributes: Latent Concept Erasure from Textual Profiles

    Jun 10, 2026Shun Shao, Zheng Zhao, Anna Korhonen +2DebiasingLarge Language Model Bias

  13. What Does Debiasing Really Remove? A Geometric Study of PCA-Based Gender Debiasing in Word Embeddings

    Jun 6, 2026Alexey Kresin, Tchifou M. Dieffi, Tomer CaspiDebiasingContextual Embeddings

  14. Resource-Constrained Adaptive Inference for Sequential Pricing

    Jun 2, 2026Ruicheng Ao, Jiashuo Jiang, David Simchi-LeviDynamic PricingExploration

  15. Industrializing Prediction-Powered Inference: The GLIDE Library for Reliable GenAI and Agentic Systems Evaluation

    May 29, 2026Grégoire Martinon, Ibrahim Merad, Mohammed RakiAgentic InferenceAgentic Evaluations

  16. Personalized Generative Models for Contextual Debiasing

    May 25, 2026Xinran Liang, Esin Tureci, Prachi Sinha +3Data AugmentationGenerative Models

  17. Can AI Debias the News? LLM Interventions Improve Cross-Partisan Receptivity but LLMs Overestimate Their Own Effectiveness

    May 1, 2026Faisal Feroz, Jonas R. KunstLarge Language Model BiasIdeology

  18. Toward Robust LLM-Based Judges: Taxonomic Bias Evaluation and Debiasing Optimization

    Mar 9, 2026Hongli Zhou, Hui Huang, Rui Zhang +5JudgesDebiasing

  19. Knowing Bias, Doing Better: Mitigating Social Bias in LLMs via Know-Bias Neuron Enhancement

    Jan 29, 2026Jinhao Pan, Chahat Raj, Anjishnu Mukherjee +4Large Language Model BiasDebiasing

  20. General Phrase Debiaser: Debiasing Masked Language Models at a Multi-Token Level

    Nov 23, 2023Bingkang Shi, Xiaodan Zhang, Dehan Kong +4DebiasingLarge Language Model Bias