Author

Tanveer Hussain

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#machine learning Preprint Sep 2026

Your Benchmark Is Not Saturated: Reviving Multiple-Choice Evaluation with Answer Pooling

Multiple-choice benchmarks are cheap to grade and are running out of room, and the standard remedy, writing harder items, is slow and repeated for every benchmark. A saturated benchmark still holds a harder task. Each question's wrong options are written for that question alone, so a model can score by eliminating a fe...

M. Eltahir, Abobaker Ahmed, Nawaf Barebood et al. · 0 citations

#machine learning Preprint Sep 2026

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

Answer-Convergence Stopping (ACS) is introduced, a training-free stopping rule that measures rather than asks, and reveals that by properly utilizing the output signals of frozen models, it can achieve favorable behaviors like adaptive stopping without the need for additional training.

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

Preprint Sep 2026

Generative Late-Interaction Embeddings For Visual Document Retrieval

Generative Late-Interaction Embeddings (GLIE): k<<N vectors per page learned from the normalized centroids to serve as both a lightweight index and a basis for regenerating the page's full embedding set, with the decoder as its main design surface.

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