2025
Are LLMs Better than Reported? Detecting Label Errors and Mitigating Their Effect on Model Performance
EMNLP 2025
NLP benchmarks rely on standardized datasets for training and evaluating models and are crucial for advancing the field. Traditionally, expert annotations ensure high-quality labels; however, the cost of expert annotation does not scale well with the growing demand for larger datasets required by mo