# Competence-aware orchestration adjusts communication in agent teams

> The framework changes agent roles and communication patterns according to task-specific capabilities.

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- Publisher: Newsverum
- Section: Technology
- Country: Hong Kong SAR China
- Published: 2026-10-13T00:51:40+00:00
- Updated: 2026-10-13T00:51:40+00:00
- Event / data period: 2026-10-09
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Researchers at The Hong Kong Polytechnic University presented a framework for competence-aware agent coordination. It compares task context with each model’s capability profile and adjusts role assignments and the communication graph, aiming to avoid a fixed multi-agent arrangement for every task.

Across the benchmarks, the authors report a 36.26% reduction in token use while maintaining average scores in selected strong-model configurations. The result is tied to GPT-4o-based evaluations and specified benchmark tasks; the paper does not show that capability profiles can be inferred with the same accuracy for other models or real workflows.

## Data

### Research result

Six benchmarks; GPT-4o-based experiments; average token use in selected configurations

Methodology: The value is limited to the benchmark experiment reported in the paper; it is not a field result or general performance guarantee.

| Measure | Percent | Scope |
|---|---|---|
| Token-use reduction in selected strong-model configurations | 36.26 | Six benchmarks; GPT-4o-based experiments; average token use in selected configurations |

Sources: <https://arxiv.org/html/2610.13144v1> · Download data: [JSON](https://newsverum.com/api/v1/articles/competence-aware-orchestration-adjusts-llm-agent-teams/data/reported-result-1?lang=en&format=json) · [CSV](https://newsverum.com/api/v1/articles/competence-aware-orchestration-adjusts-llm-agent-teams/data/reported-result-1?lang=en&format=csv)

## Sources

- [arXiv preprint by Hong Kong Polytechnic University researchers](<https://arxiv.org/html/2610.13144v1>) (Source checked: 2026-10-13; Published: 2026-10-09)

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