conftrace_

dataset bia

149 papers

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Co-occurring keywords

spurious correlation (279) text classification (6793) domain generalization (1522) bias mitigation (500) natural language understanding (846) question answering (2963) benchmark evaluation (1556) out-of-distribution generalization (408) visual question answering (1017) model robustness (480)

Papers

Fake News Detection Strategies under Dataset Bias: Using Large-scale Coarse-grained Labels EACL 2026
What Are They Filtering Out? An Experimental Benchmark of Filtering Strategies for Harm Reduction in Pretraining Datasets AAAI 2026
Games of Representation: Developing Card-Based Activities to Teach About Representation and Bias in AI Datasets AAAI 2026
DefVerify: Do Hate Speech Models Reflect Their Dataset’s Definition? COLING 2025
Curriculum Debiasing: Toward Robust Parameter-Efficient Fine-Tuning Against Dataset Biases ACL 2025
Modeling Saliency Dataset Bias ICCV 2025
Assessing Modality Bias in Video Question Answering Benchmarks with Multimodal Large Language Models AAAI 2025
Attention IoU: Examining Biases in CelebA using Attention Maps CVPR 2025
Navigating Dialectal Bias and Ethical Complexities in Levantine Arabic Hate Speech Detection COLING 2025
Beyond Dataset Creation: Critical View of Annotation Variation and Bias Probing of a Dataset for Online Radical Content Detection COLING 2025
Social Bias in Popular Question-Answering Benchmarks AACL 2025
Text Takes Over: A Study of Modality Bias in Multimodal Intent Detection EMNLP 2025
Circumventing Shortcuts in Audio-visual Deepfake Detection Datasets with Unsupervised Learning CVPR 2025
RAZOR: Sharpening Knowledge by Cutting Bias with Unsupervised Text Rewriting AAAI 2025
Common Sense Bias Modeling for Classification Tasks AAAI 2025
Low-Biased General Annotated Dataset Generation CVPR 2025
Data Caricatures: On the Representation of African American Language in Pretraining Corpora ACL 2025
TFCD: Towards Multi-modal Sarcasm Detection via Training-Free Counterfactual Debiasing IJCAI 2024
Learning from Others: Similarity-based Regularization for Mitigating Dataset Bias. ACL 2024
Self-Supervised Position Debiasing for Large Language Models ACL 2024
Beyond the Numbers: Transparency in Relation Extraction Benchmark Creation and Leaderboards EMNLP 2024
FairFlow: Mitigating Dataset Biases through Undecided Learning for Natural Language Understanding EMNLP 2024
Studying and Mitigating Biases in Sign Language Understanding Models EMNLP 2024
Understanding Bias in Large-Scale Visual Datasets NIPS 2024
Do LLMs Overcome Shortcut Learning? An Evaluation of Shortcut Challenges in Large Language Models EMNLP 2024