Sign inGet started
Paper · arXiv

Which Model for Which Role? Cost-Efficient Pareto Recommendation for LLM Agentic Workflows

LLM agentic workflows increasingly employ different models for specialized roles. Users may prefer different trade-offs between task quality and deployment cost, sometimes also considering latency. Finding good assignments incurs a separate search cost from evaluating multiple candidates. We introduce Cost-Coupled Gittins (CC-Gittins), a multi-objective extension of single-objective cost-aware Gittins search for Pareto recommendation. It exploits the coupling between evaluation and deployment costs: assignments that cost more to deploy also cost more to evaluate. The search alternates between seeking higher quality and lower deployment cost, reusing each evaluation to inform both searches...

AuthorsQian Xie, Wenyue Hua, Yueli He et al.
Primary categorycs.LG
Published19 October 2026
Last updated at source19 October 2026
cs.LGcs.CLstat.ML
Embed this entry
<iframe src="https://silytics.si/embed/item/5c1b5d1d-bc37-4a31-8008-312a8b3bb1ba" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Popularity, last 2 days

0 now. Counts as reported by the source, snapshotted daily by Silytics.

Silytics shows public metadata from arXiv and links to the original. Information may be incomplete or out of date. Last refreshed 21 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.