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20232026
most citedMetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use

5 citations · 8 across the 11 of their papers we have counts for

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2 papers · 1 filter

cs.CL2026

When is Your LLM Steerable?

Chenrui Fan, Yize Cheng, Ming Li +2

Activation steering offers a lightweight approach to control language models' behavior at inference time, but whether it succeeds or fails heavily depends on the prompt, concept, m…

cs.AI2026

Model-Adaptive Tool Necessity Reveals the Knowing-Doing Gap in LLM Tool Use

Yize Cheng, Chenrui Fan, Mahdi JafariRaviz +2

Large language models (LLMs) increasingly act as autonomous agents that must decide when to answer directly vs. when to invoke external tools. Prior work studying adaptive tool use…