JIT-Agent: Improving LLMs via Just-in-Time Harness Evolution
NationalUniversityofSingapore · hf · 2026-08-27
JIT-Agent is a trainable model that synthesizes adaptive agent harnesses for off-the-shelf LLMs. By utilizing just-in-time harness evolution, it improves performance across diverse models and tasks, enhancing the utilization of existing models.
Related event: JIT-Agent Synthesizes Adaptive Agent Harnesses on Demand(3 posts)→
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