Tag: causal machine learning
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Token Importance in On-Policy Distillation Explained
Discover how token importance boosts on-policy distillation efficiency by focusing on student entropy and teacher-student divergence signals.
MAny: Advanced Multimodal Continual Instruction Tuning
Discover MAny, a training-free framework enhancing Multimodal Large Language Models by merging task knowledge for robust continual instruction tuning.
ASTER: Unsupervised Time-Series Anomaly Detection Using Latent Pseudo-Anomalies
Discover ASTER, an innovative unsupervised framework generating latent pseudo-anomalies for enhanced time-series anomaly detection with LLM integration.
Human vs LLM Annotation in Active Learning for Hostility Detection
Explore how human and LLM annotations compare in active learning for hostility detection, balancing cost, accuracy, and error profiles in AI labeling.
Supervised Machine Learning Model Evaluation: Key Metrics & Tips
Learn essential principles, common pitfalls, and metric selection strategies for effective supervised machine learning model evaluation.