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stat.ML2026
Retrieval-Based In-Context Learning: A Domain Adaptation Framework
Yilun Zhu, Naihao Deng, Yingcong Li +2
In-context retrieval (ICR) is a retrieval-based form of in-context learning (ICL) in which demonstrations are retrieved from a source database based on similarity to the query, rat…
stat.ML2026
Estimation of the Label-Noise Transition Matrix with Performance Guarantees via Selective Classification
Xabier de Juan, Santiago Mazuelas, Yilun Zhu +1
Modern machine learning depends heavily on massive datasets, but obtaining high-quality annotations at scale is often expensive. As a result, learning from noisily-labeled data has…