Author

Mohammadali Khodabandehlou

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Preprint Sep 2026

AKTS: Sub-Microsecond Kernel Policy Switching for Language-Model Agents

AKTS, which verifies a policy library once, at load time, and reduces the agent's runtime action to writing an integer index into an in-kernel array of preverified policies, and an in-kernel tail call resolves that index.

Mohammadali Khodabandehlou, Mahdi Alizadeh · 0 citations

#machine learning Preprint Aug 2026

Compression-Aware Abstention: Teaching LLMs to Refuse When KV-Compression Masks Remove Answer Evidence

This is the first work to formulate compression-aware abstention as a learning problem, in which a model learns to answer when supporting evidence survives compression and abstain when it does not, and controlled-deletion experiments show that the learned behavior is driven by evidence content rather than input length...

Mohammadali Khodabandehlou, Bhaskar Krishnamachari · 0 citations