2 papers
stat.ML2026
Data Balancing Strategies: A Systematic Survey of Resampling and Augmentation Methods
Behnam Yousefimehr, Mehdi Ghatee, Javad Fazli +10
Imbalanced datasets, where one class significantly outnumbers others, remain a persistent challenge in machine learning, often biasing predictions toward the majority class and deg…
cs.LG2025
An Ensemble Embedding Approach for Improving Semantic Caching Performance in LLM-based Systems
Shervin Ghaffari, Zohre Bahranifard, Mohammad Akbari
Semantic caching enhances the efficiency of large language model (LLM) systems by identifying semantically similar queries, storing responses once, and serving them for subsequent…