confirmation bia

Confirmation Bias: A Challenge for Scalable Oversight AAAI 2026 Debiased Sample Selection for Learning with Noisy Labels CVPR 2026 Mitigating Endogenous Confirmation Bias in Noisy Label Learning for Vision-Language Models AAAI 2026 Addressing Multi-Label Learning with Partial Labels: From Sample Selection to Label Selection AAAI 2025 Mitigating Shortcut Learning via Smart Data Augmentation based on Large Language Model COLING 2025 MotivGraph-SoIQ: Integrating Motivational Knowledge Graphs and Socratic Dialogue for Enhanced LLM Ideation EMNLP 2025 ReCoT: Reflective Self-Correction Training for Mitigating Confirmation Bias in Large Vision-Language Models ICCV 2025 RegMixMatch: Optimizing Mixup Utilization in Semi-Supervised Learning AAAI 2025 Synthetic Paths to Integral Truth: Mitigating Hallucinations Caused by Confirmation Bias with Synthetic Data COLING 2025 Unveiling Confirmation Bias in Chain-of-Thought Reasoning ACL 2025 Adaptive Chameleon or Stubborn Sloth: Revealing the Behavior of Large Language Models in Knowledge Conflicts ICLR 2024 Design Choices for Enhancing Noisy Student Self-Training WACV 2024 DuPL: Dual Student with Trustworthy Progressive Learning for Robust Weakly Supervised Semantic Segmentation CVPR 2024 (FL)$^2$: Overcoming Few Labels in Federated Semi-Supervised Learning NeurIPS 2024 HPL-ESS: Hybrid Pseudo-Labeling for Unsupervised Event-based Semantic Segmentation CVPR 2024 Position: Is machine learning good or bad for the natural sciences? ICML 2024 SemiReward: A General Reward Model for Semi-supervised Learning ICLR 2024 SequenceMatch: Revisiting the Design of Weak-Strong Augmentations for Semi-Supervised Learning WACV 2024 Simulating Opinion Dynamics with Networks of LLM-based Agents NAACL 2024 Tug-of-War between Knowledge: Exploring and Resolving Knowledge Conflicts in Retrieval-Augmented Language Models COLING 2024 Approximately Bayes-optimal pseudo-label selection UAI 2023 Diverse Cotraining Makes Strong Semi-Supervised Segmentor ICCV 2023 Divide to Adapt: Mitigating Confirmation Bias for Domain Adaptation of Black-Box Predictors ICLR 2023 Gradient-based Sampling for Class Imbalanced Semi-supervised Object Detection ICCV 2023 Is Your Noise Correction Noisy? PLS: Robustness To Label Noise With Two Stage Detection WACV 2023