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accuracy drop

9 papers

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model robustness (4) large language model (2) data augmentation (2) benchmark evaluation (2) dataset replication (1) statistical bia (1) robustness benchmark (1) low bit-width (1) neural network (1) option length (1)

Papers

Large Language Models Badly Generalize across Option Length, Problem Types, and Irrelevant Noun Replacements EMNLP 2025 NumPert: Numerical Perturbations to Probe Language Models for Veracity Prediction IJCNLP 2025 ImageNet-D: Benchmarking Neural Network Robustness on Diffusion Synthetic Object CVPR 2024 Premise Order Matters in Reasoning with Large Language Models ICML 2024 Progress and Limitations of Deep Networks to Recognize Objects in Unusual Poses AAAI 2023 Natural Adversarial Examples CVPR 2021 Identifying Statistical Bias in Dataset Replication ICML 2020 Towards Accurate Low Bit-Width Quantization with Multiple Phase Adaptations AAAI 2020 Beyond Error Propagation in Neural Machine Translation: Characteristics of Language Also Matter EMNLP 2018