1 citations · 1 across the 4 of their papers we have counts for
4 papers
Streamlining Conformal Information Retrieval via Score Refinement
Yotam Intrator, Ori Kelner, Regev Cohen +3
Information retrieval (IR) methods, like retrieval augmented generation, are fundamental to modern applications but often lack statistical guarantees. Conformal prediction addresse…
Predicting Generalization of AI Colonoscopy Models to Unseen Data
Joel Shor, Carson McNeil, Yotam Intrator +15
: Generalizability of AI colonoscopy algorithms is important for wider adoption in clinical practice. However, current techniques for evaluating performance on…
Breaking the Language Barrier: Can Direct Inference Outperform Pre-Translation in Multilingual LLM Applications?
Yotam Intrator, Matan Halfon, Roman Goldenberg +5
Large language models hold significant promise in multilingual applications. However, inherent biases stemming from predominantly English-centric pre-training have led to the wides…
The unreasonable effectiveness of AI CADe polyp detectors to generalize to new countries
Joel Shor, Hiro-o Yamano, Daisuke Tsurumaru +13
: Artificial Intelligence (AI) Computer-Aided Detection (CADe) is commonly used for polyp detection, but data seen in clinical settings can differ fro…