RESEARCHMonitorWATCHLIST
Do Proactive Agents Need an LLM to Decide When to Act?
arXiv cs.CL — Computation and Language
Factual evidence
What the source reports
Research proposes using small graph models instead of LLMs to decide when proactive agents intervene, lowering continuous inference costs.
Inspect the evidence
- Inclusion basis
- Enterprise AI
- Publisher and source type
- arXiv cs.CL — Computation and Language · RESEARCH
- Published by source
- 30 September 2026
- Collected by OneBench
- 1 Oct 2026, 03:01 UK
- Original headline
- Do Proactive Agents Need an LLM to Decide When to Act? ↗
Stored source excerpt
arXiv:2605.30152v2 Announce Type: replace Abstract: Proactive assistants continuously decide when to intervene and what context should support the intervention. Large language model (LLM) pipelines repeatedly…
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