In the news
The Router Within: Eliciting Native Skill Routing from a Frozen LLM
arXiv cs.AI · Published · 1 min read
In 30 seconds
- What happened
- Researchers developed Gavel, a method to route LLM agent requests to the correct skill using only two trained linear maps, without adding external parameters.
- Why it matters
- Matters for engineers building LLM agent systems who need efficient skill selection that scales to large skill libraries without bloating context.
- Watch out
- Method tested on Qwen3-32B and public benchmarks; unclear how well it generalizes to other model architectures or real-world deployment constraints.
- agent
- llm
- retrieval
- attention
- edge
The patterns behind this
Each one covers how the technique works, when it earns its cost, and where it breaks.
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