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TabAgent: Distilling LLM Agent Components into Cheap Classifiers
arXiv cs.CL — Computation and Language
Factual evidence
What the source reports
Researchers introduced TabAgent, a framework to replace expensive LLM routing and gating calls with distilled tabular classifiers.
Inspect the evidence
- Inclusion basis
- Enterprise AI
- Publisher and source type
- arXiv cs.CL — Computation and Language · RESEARCH
- Published by source
- 22 October 2026
- Collected by OneBench
- 23 Oct 2026, 03:01 UK
- Original headline
- TabAgent: Distilling LLM Agent Components into Cheap Classifiers ↗
Stored source excerpt
arXiv:2602.16429v2 Announce Type: replace Abstract: Agentic systems, AI architectures that autonomously execute multi-step workflows to achieve complex goals, are often built using repeated large language…
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