3 papers
cs.CL2026
Decoding-Level Taboo: A Diagnostic Stress Test for LLM Robustness
Tadanobu Chuyo Kamijo, Ori Rottenstreich, Javier Conde +2
Large language model evaluations typically focus on performance under nominal conditions, creating an illusion of capability where models comfortably walk a narrow, highly optimize…
cs.AI2026
Learning Filters with Certainty
Yuval Banoun, Daniel Sadoc Menasche, Ori Rottenstreich
Hash-based data structures such as Bloom filters are widely used in network systems for tasks including caching, anomaly detection, and machine learning pipelines. They typically p…
cs.NI2025
CertainSync: Rateless Set Reconciliation with Certainty
Tomer Keniagin, Eitan Yaakobi, Ori Rottenstreich
Set reconciliation is a fundamental task in distributed systems, particularly in blockchain networks, where it enables synchronization of transaction pools among peers and facilita…