prior knowledge

Expanding the Boundaries of Vision Prior Knowledge in Multi-modal Large Language Models EACL 2026 Controllable Context Sensitivity and the Knob Behind It ICLR 2025 D2FP: Learning Implicit Prior for Human Parsing WACV 2025 FAB-PPI: Frequentist, Assisted by Bayes, Prediction-Powered Inference ICML 2025 How Persuasive Is Your Context? EMNLP 2025 NCAP: Scene Text Image Super-Resolution with Non-CAtegorical Prior WACV 2025 On Evaluating LLMs’ Capabilities as Functional Approximators: A Bayesian Evaluation Framework COLING 2025 Prior-guided Hierarchical Harmonization Network for Efficient Image Dehazing AAAI 2025 Prior Knowledge Guided Neural Architecture Generation ICML 2025 Robust ML Auditing using Prior Knowledge ICML 2025 Towards Objective Fine-tuning: How LLMs’ Prior Knowledge Causes Potential Poor Calibration? ACL 2025 Using Powerful Prior Knowledge of Diffusion Model in Deep Unfolding Networks for Image Compressive Sensing CVPR 2025 A General Framework for User-Guided Bayesian Optimization ICLR 2024 Bayesian Diffusion Models for 3D Shape Reconstruction CVPR 2024 BrainBits: How Much of the Brain are Generative Reconstruction Methods Using? NeurIPS 2024 Context versus Prior Knowledge in Language Models ACL 2024 Data-efficient, explainable and safe box manipulation: Illustrating the advantages of physical priors in model-predictive control L4DC 2024 Jump Starting Bandits with LLM-Generated Prior Knowledge EMNLP 2024 Prior Knowledge-Guided Adversarial Training ACL 2024 Training a Better Chinese Spelling Correction Model via Prior-knowledge Guided Teacher ACL 2024 Trusting Your Evidence: Hallucinate Less with Context-aware Decoding NAACL 2024 Zero-Reference Low-Light Enhancement via Physical Quadruple Priors CVPR 2024 A Probabilistic Framework for Discovering New Intents ACL 2023 Better Teacher Better Student: Dynamic Prior Knowledge for Knowledge Distillation ICLR 2023 Controllable Neural Symbolic Regression ICML 2023