EvalBuilder: Can LLMs Build Efficient Benchmarks?
Large language model (LLM) agents are increasingly used for long-horizon research and engineering, yet evaluating these capabilities remains expensive, time-consuming, and heavily dependent on human expertise. This motivates a natural question: can LLM agents themselves construct efficient benchmarks that preserve the...
Huai-Sheng Zhu, Hang-Fan Zhang, Teng Xiao et al.
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