JevAgentHarness: Benchmarking, Deploying and Training Decision Models That Share Control with LLMs
Large language model (LLM) agents now fix software, operate computers and serve customers, but their harnesses, the programs that run them, call a large LLM at every step, which makes long tasks slow and costly. Most of these calls end in a multiple-choice decision, such as which tool to call next. Decision models such...
Kun-Lun Zhu, Tao Feng, Xue-Ning Han et al.
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