Author

Mohammadali Khodabandehlou

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Preprint Sep 2026

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

GPU-backed LLM servers often multiplex interactive requests with background batch work on the same CPUs. During a request burst, the scheduler should protect time-to-first-token; between bursts, it should let background work make progress. A fixed kernel policy leaves one of these objectives on the table, so agentic OS...

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