label bia

Beyond Generation: Leveraging LLM Creativity to Overcome Label Bias in Classification ACL 2025 Debiasing the Fine-Grained Classification Task in LLMs with Bias-Aware PEFT ACL 2025 Label Bias in Symbolic Representation of Meaning ACL 2025 Mitigating Label Length Bias in Large Language Models IJCNLP 2025 Navigating Towards Fairness with Data Selection AAAI 2025 Beyond Performance: Quantifying and Mitigating Label Bias in LLMs NAACL 2024 Mitigating Label Bias in Machine Learning: Fairness through Confident Learning AAAI 2024 Non-Autoregressive Machine Translation as Constrained HMM ACL 2024 Position: Is machine learning good or bad for the natural sciences? ICML 2024 TD²-Net: Toward Denoising and Debiasing for Video Scene Graph Generation AAAI 2024 Debiasing Made State-of-the-art: Revisiting the Simple Seed-based Weak Supervision for Text Classification EMNLP 2023 Fair Representation Learning with Unreliable Labels AISTATS 2023 Generalized Logit Adjustment: Calibrating Fine-tuned Models by Removing Label Bias in Foundation Models NeurIPS 2023 Mitigating Label Biases for In-context Learning ACL 2023 Reducing the Label Bias for Timestamp Supervised Temporal Action Segmentation CVPR 2023 That Label's got Style: Handling Label Style Bias for Uncertain Image Segmentation ICLR 2023 Disparate Censorship & Undertesting: A Source of Label Bias in Clinical Machine Learning MLHC 2022 Global Normalization for Streaming Speech Recognition in a Modular Framework NeurIPS 2022 Non-Autoregressive Sequence Generation ACL 2022 On Non-Random Missing Labels in Semi-Supervised Learning ICLR 2022 A Globally Normalized Neural Model for Semantic Parsing ACL 2021 Bias-tolerant Fair Classification ACML 2021 Can Less be More? When Increasing-to-Balancing Label Noise Rates Considered Beneficial NeurIPS 2021 Counterfactual Inference for Text Classification Debiasing ACL 2021 Identifying and Correcting Label Bias in Machine Learning AISTATS 2020