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calibration data

11 papers

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large language model (6) model compression (5) model pruning (3) conformal prediction (3) neural network pruning (3) prediction set (2) neural network optimization (2) knowledge distillation (2) parameter-efficient deployment (1) partition learning (1)

Papers

Efficient Federated Conformal Prediction with Group-Conditional Guarantee UAI 2026 Beware of Calibration Data for Pruning Large Language Models ICLR 2025 Sample-aware Adaptive Structured Pruning for Large Language Models AAAI 2025 Self-calibration for Language Model Quantization and Pruning NAACL 2025 Conformal Prediction with Learned Features ICML 2024 Is C4 Dataset Optimal for Pruning? An Investigation of Calibration Data for LLM Pruning EMNLP 2024 Multilingual Brain Surgeon: Large Language Models Can Be Compressed Leaving No Language behind COLING 2024 On the Impact of Calibration Data in Post-training Quantization and Pruning ACL 2024 Rethinking Pruning Large Language Models: Benefits and Pitfalls of Reconstruction Error Minimization EMNLP 2024 Robust Yet Efficient Conformal Prediction Sets ICML 2024 Multitask Learning for Brain-Computer Interfaces AISTATS 2010