shortcut learning

Short-circuiting Shortcuts: Mechanistic Investigation of Shortcuts in Text Classification CoNLL 2025 Shortcut Learning in Generalist Robot Policies: The Role of Dataset Diversity and Fragmentation CoRL 2025 Shortcut Learning in Safety: The Impact of Keyword Bias in Safeguards ACL 2025 Spurious Correlations and Beyond: Understanding and Mitigating Shortcut Learning in SDOH Extraction with Large Language Models ACL 2025 Supervised and Unsupervised Probing of Shortcut Learning: Case Study on the Emergence and Evolution of Syntactic Heuristics in BERT ACL 2025 ALVIN: Active Learning Via INterpolation EMNLP 2024 Do LLMs Overcome Shortcut Learning? An Evaluation of Shortcut Challenges in Large Language Models EMNLP 2024 Efficient Overshadowed Entity Disambiguation by Mitigating Shortcut Learning EMNLP 2024 Exploring and Mitigating Shortcut Learning for Generative Large Language Models COLING 2024 FairFlow: Mitigating Dataset Biases through Undecided Learning for Natural Language Understanding EMNLP 2024 Fast Diffusion-Based Counterfactuals for Shortcut Removal and Generation ECCV 2024 Learning Personalized Causally Invariant Representations for Heterogeneous Federated Clients ICLR 2024 Learning to Detour: Shortcut Mitigating Augmentation for Weakly Supervised Semantic Segmentation WACV 2024 Navigate Beyond Shortcuts: Debiased Learning Through the Lens of Neural Collapse CVPR 2024 Navigating the Shortcut Maze: A Comprehensive Analysis of Shortcut Learning in Text Classification by Language Models EMNLP 2024 On the Foundations of Shortcut Learning ICLR 2024 On the Use of Anchoring for Training Vision Models NeurIPS 2024 Pointing Out the Shortcomings of Relation Extraction Models with Semantically Motivated Adversarials COLING 2024 Semformer: Transformer Language Models with Semantic Planning EMNLP 2024 Shortcuts Arising from Contrast: Towards Effective and Lightweight Clean-Label Attacks in Prompt-Based Learning EMNLP 2024 TACIT: A Target-Agnostic Feature Disentanglement Framework for Cross-Domain Text Classification AAAI 2024 There Are No Shortcuts to Anywhere Worth Going: Identifying Shortcuts in Deep Learning Models for Medical Image Analysis MIDL 2024 Towards Combating Frequency Simplicity-biased Learning for Domain Generalization NeurIPS 2024 Understanding Visual Feature Reliance through the Lens of Complexity NeurIPS 2024 Unveiling Project-Specific Bias in Neural Code Models COLING 2024