Was passiert ist: Sketching Language Models for Context Attribution

Researchers developed a sketching algorithm that estimates how individual prompt tokens affect language model outputs using far fewer model evaluations than naive approaches.

Warum es zählt: Sketching Language Models for Context Attribution

Engineers building interpretability tools or debugging language model behavior need efficient methods to understand which parts of inputs drive specific outputs.

Achtung: Sketching Language Models for Context Attribution

The algorithm assumes model stability, a condition verified empirically on small tasks but not proven to hold broadly across all language models and domains.

In den Nachrichten

Sketching Language Models for Context Attribution

arXiv cs.AI · Veröffentlicht am 12. November 2026 · 3 Min. Lesezeit

In 30 Sekunden

Was passiert ist: Researchers developed a sketching algorithm that estimates how individual prompt tokens affect language model outputs using far fewer model evaluations than naive approaches.
Warum es zählt: Engineers building interpretability tools or debugging language model behavior need efficient methods to understand which parts of inputs drive specific outputs.
Achtung: The algorithm assumes model stability, a condition verified empirically on small tasks but not proven to hold broadly across all language models and domains.

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language model
prompt
token
eval

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