Yossi Matias

Large language models encode clinical knowledge

2023 · Nature

Abstract Large language models (LLMs) have demonstrated impressive capabilities, but the bar for clinical applications is high. Attempts to assess the clinical knowledge of models typically rely on automated evaluations based on limited benchmarks. Here, …

TRUE: Re-evaluating Factual Consistency Evaluation

2022 · arXiv (Cornell University)

Grounded text generation systems often generate text that contains factual inconsistencies, hindering their real-world applicability. Automatic factual consistency evaluation may help alleviate this limitation by accelerating evaluation cycles, filtering inconsistent outputs and augmenting training data. …

Breaking the Language Barrier: Can Direct Inference Outperform Pre-Translation in Multilingual LLM Applications?

2024

Yotam Intrator, Matan Halfon, Roman Goldenberg, Reut Tsarfaty, Matan Eyal, Ehud Rivlin, Yossi Matias, Natalia Aizenberg. Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies …

Extended Diffie-Hellman Encryption for Secure and Efficient Real-Time Beacon Notifications

2025

Every computing paradigm involving communication requires new security protocols employing cryptography. For example, the Internet gave rise to TLS/SSL, and Mobile Computing gave rise to End-to-End Encryption protocols. In this paper, we address an emerging …