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M. Eltahir

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#machine learning Preprint Sep 2026

The Model Knows When to Stop: Training-Free Early Stopping for Long-Context Reading

Language models often process long inputs sequentially in chunks, but continuing to read after sufficient evidence has been acquired wastes computation. Existing stopping mechanisms either learn sufficiency from internal activations or train an exit gate, while a simpler alternative asks the model whether it has read e...

Muath Alyobi, M. Eltahir, Almoayyad Abuljdail et al. · 0 citations
Preprint Sep 2026

Generative Late-Interaction Embeddings For Visual Document Retrieval

Late-interaction retrieval is the state-of-the-art for visual document search, but it pays for its accuracy in storage. Existing compression methods retain a subset or local average of the N~1,000 vectors per page. Under aggressive storage budgets, however, these methods degrade sharply, and alternatives require retrai...

M. Eltahir, Talal Aloushan, Rose Khairoalsendi et al. · 0 citations
Jul 2026

When Does Small Data Work? Accuracy and Efficiency Trade-offs Between Tabular Foundation Models and Conventional Methods for Crowd-State Classification at Hajj and Umrah

A practical map of which approach to prefer under a given label budget and computational budget is summarized as a practical map of which approach to prefer under a given label budget and computational budget.

AlJawharh AlOtaibi, M. Eltahir, Jude AlSubaie · 0 citations

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