Robust Retrieval Training with Weak Supervision
Published:Dec 15, 2025 11:52
•1 min read
•ArXiv
Analysis
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.
Key Takeaways
Reference
“The paper focuses on robust training under label noise.”