Issue 2026-09-27 · Industry · 研究 · 开源
Turning GLM-5.3-Flash into a Jev-like decision model
A study crafts input prompts so the first output token answers the question, enabling standard LLMs such as GLM-5.3-Flash to make decisions in a single forward pass and reproduce Jev-like properties on vLLM. Benchmarks show accuracy and speed on par with Jev and substantially better than Laya, though cost per decision is several times higher than Jev; the setup also supports vision inputs.
Read original ↗- jevals: replacing LLM judges with typed Jev decisions for agent evals
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