@gneubig: Agentic evaluations are sloooow, and expeeeensive. Can we instead get a good idea of how well an LLM will do on agentic…
Summary
PACE introduces a proxy method to estimate LLM agentic capabilities using cheaper single-turn tasks, reducing the cost and time of full agentic evaluations.
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Cached at: 07/06/26, 10:22 PM
Agentic evaluations are sloooow, and expeeeensive.
Can we instead get a good idea of how well an LLM will do on agentic tasks by running it solely on single-turn tasks?
Our method PACE comes up with an effective strategy for doing so!
Yueqi Song (@yueqi_song): 🚀Excited to release PACE: A Proxy for Agentic Capability Evaluation!
Evaluating LLM agents on benchmarks like SWE-Bench and GAIA is expensive, slow, and infrastructure-heavy, often costing $$$ and taking hours or days per model.
❓But do we always need to run full agentic
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