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Ethan Fetaya

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#artificial intelligence Preprint Oct 2026

Size Generalization for Diffusion Routing Solvers

Routing problems, like the Traveling Salesman Problem (TSP) and the Capacitated Vehicle Routing Problem (CVRP), are NP-hard and slow to solve for large instances. Diffusion-based solvers can be trained in a supervised way using sets of optimal solutions, and then quickly solve new test instances. However, for large ins...

Barak Itzchak Davidovitch, E. Meirom, Ethan Fetaya et al. · 0 citations
Preprint Aug 2026

UniProbe: A Learnable Token-Level Hallucination Detector for Large VLMs using Multi-Structural Internal Representations

UniProbe is introduced, a lightweight, unified, learnable detector that models a frozen LVLM's heterogeneous computational trace from a single forward pass and achieves state-of-the-art token-level and object-hallucination detection.

Dvir Samuel, Guy Bar-Shalom, Fabrizio Frasca et al. · 0 citations

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