Author

Zihang Liu

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Preprint Aug 2026

PluginEval: A Diagnostic Benchmark for Fine-Grained Error Attribution in Function Calling

PluginEval is introduced, a benchmark constructed through a two-stage framework that systematically mitigates limitations of Large Language Models and evaluates five model families, including proprietary models and models with open weights, analyze their performance across difficulty levels and error categories, and validate the judge through agreement with human annotations.

Dong Xu, Julius, Hanchi Dong et al. · 0 citations

#machine learning Preprint Aug 2026

JIT-Agent: Scaling Harness Intelligence via Just-in-Time Harness Evolution

To the authors' knowledge, JIT-Agent is the first model purpose-built for just-in-time harness generation, establishing harness intelligence as a trainable, transferable, and compounding dimension of agent capability orthogonal to model scaling.

Guibin Zhang, Leo Lu, Fang-Zhou Xie et al. · 0 citations