Author

Daniel Soudry

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#machine learning Preprint Oct 2026

UNREAL: Unifying Retrieval and Long-Context with a Single Model

This work introduces UNifying REtrieval And Long-Context with a Single Model (UNREAL), a model-native evidence selection framework to span corpus retrieval and long-context inference and establishes model-internal evidence selection as a common foundation for corpus retrieval and evidence-sparse long-context inference.

Edan Kinderman, Elad Hoffer, Y. Blau et al. · 0 citations

#artificial intelligence Preprint Oct 2026

More Value per Key: Asymmetric Sparse Attention for Faster LLM Decoding

Autoregressive generation in Large Language Models (LLMs) is constrained by the memory and computational demands of attention mechanisms. Sparse attention methods mitigate this cost by selecting only high-probability entries of the attention matrix. We observe that in many such methods, this renders the probability-val...

Noam Elata, Itay Lamprecht, Mikey Shechter et al. · 0 citations