Robust Retrieval Training with Weak Supervision

This ArXiv paper explores a crucial challenge in machine learning: training robust retrieval models in the presence of noisy labels. The research likely proposes novel techniques to mitigate the impact of label noise, potentially improving model performance in real-world scenarios.