AI & Research · arXiv AI · publications

Should SLMs be in the Driver's Seat? A Study of Local Models as Interpreters in Cloud-Written Agent Programs

Source excerpt

This page presents AI and research content to help researchers, students and AI tools read, cite and verify the information.

arXiv:2610.14209v1 Announce Type: new Abstract: The most accurate agents executing user-provided tasks are driven by large, cloud-hosted models, which solve them by reading the private data of the user. Agents powered by models small enough to run on edge devices keep that data local, but yield far worse results. A third option is to have cloud models write a program that devices execute: the data stays local, but as the program is written before any data is seen, it fails whenever a step depends on interpreting content that appears only at run time. We explore an intermediate architecture, in which the cloud-written program defers bounded questions over user data to a small local model through an ordinary function call. On AppWorld this improves the success rate of a code-only agent in all six combinations of backbone model and test partition we evaluate, by up to 14.9pp, recovering a substantial part of the gap to a cloud-hosted ReAct loop while keeping user data on the device.

Your DzCademia workshop

Check a publication method or promise

A video or journal-finding tool can shortlist titles, not guarantee acceptance. Check identity, scope, author instructions and possible fees at official sources. Do not choose solely on speed promises or one indicator.

A practical exercise

Compare two journals against your research question: fit, article types, instructions and verified terms. Keep unknowns as questions rather than assumptions.

Record reference points

Topic: Should SLMs be in the Driver's Seat? A Study of Local Models as Interpreters in Cloud-Written Agent Programs
Source website: arxiv.org
Publication date at source: 2026-10-15
Collection date on DzCademia: 2026-10-15

My preparation plan

An indicative personal list, separate from official documents or requirements. Checkmarks stay on this device; no account needed.

Identify the journal and official site.Read the scope and sample papers.Check instructions and possible charges.Reject unsupported publication guarantees.Prepare an original, compliant manuscript.

0 / 5 steps checked

Read the source

DzCademia advice and exercises are separate from the source summary and requirements. This structured aid uses automated assistance and is neither scientific validation nor a selection promise. Source consulted on 2026-10-28.

intelligence artificielle

View the original source

Official or original source: arXiv AI. Always check the details against the primary source.

Back to AI & Research

Should SLMs be in the Driver's Seat? A Study of Local Models as Interpreters in Cloud-Written Agent Programs

Check a publication method or promise

A practical exercise

Comment with Google

Your browsing, your choices