SMART Filtering: Enhancing Benchmark Quality and Efficiency for NLP Model Evaluation
Evaluating NLP models has become increasingly complex due to issues like benchmark saturation, data contamination, and the variability in test quality. As interest in language generation grows, standard model benchmarking…