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Decision language models as affordable and rapid alternatives to LLM judges of clinical generative AI

arXiv:2610.28826v1 Announce Type: new Abstract: Automated judges of clinical artificial intelligence (AI) outputs are necessary, but large language model (LLM) judges are costly and slow at scale. We compared Jev, a decision language model that returns structured judgments, with frontier and open-w…

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  1. 2026-10-22 04:00 · arXiv cs.AI
    Decision language models as affordable and rapid alternatives to LLM judges of clinical generative AI

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  1. Our Own Jev: Typed Decisions in One Forward Pass, from an In-House Judge to Open LoRA Models — arXiv cs.CL
  2. Using Jev to determine if an event occurred or not — r/PromptEngineering
  3. Mica v0.5: The smartest 4B decision model is also the fastest one. 20 ms per answer, 25x faster than Jev — r/LocalLLM
  4. A former ChatGPT researcher says better chatbots won’t get us to AGI. His alternative doesn’t generate text at all. — r/agi
  5. The Sequence Learning Loop - Issue #955: From Persistent Agents to Decision Models — TheSequence
  6. The costs of “decisions” has dropped 10x in just a few months — r/LocalLLaMA
  7. The Problem with Jev: Can You Trust AI Decisions? — IBM Technology (YouTube)
  8. Play around with Jev as a chatbot — r/PromptEngineering

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