nokia-applied-research/AnyJev

Turn any LLM into a Jev-style decision model: typed decisions, real probabilities, no training. (continue updating)

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[](https://pypi.org/project/anyjev/) [](https://pypi.org/project/anyjev/) [](https://github.com/nokia-applied-research/AnyJev/actions/workflows/ci.yml) [](LICENSE) English · 简体中文 · 🚀 Usage · 📊 Results · 🧭 Roadmap · 📖 Levels contract Jiamu Zhang1     Tianze Yang1     Yucheng Shi2     Liang Wu1 1 Nokia, Sunnyvale, CA      2 Tencent Hunyuan Qwen3-8B on a real BANKING77 item. Every number is a model output. Ask any open LLM a typed question and get back a decision with a probability you can threshold, read from one prefill of its next-token distribution. No generation, no parsing, no fine-tuning. Raw logits change their answer when you reorder the options, and their confidence cannot be trusted; AnyJev fixes the first with zero labels and the second with a few hundred. Qwen3-8B, BANKING77 20-way, 300 test items. Full table incl. every ablation: docs/resultsbench.md The last row is the point. Accuracy moves by 6 points, but the share of traffic you can safely automate goes from 7.7% to 52.0%, a 6.8×…

nokia-applied-research/AnyJev on GitHub A short preview, not the full document.

Read the full README ↗ · Preview checked 2026-09-23T12:47:25.492Z

Inside the original README — Document outline
  1. ✨ What it does
  2. 🚀 Usage
  3. 🧠 How it works
  4. 🔁 A head that maintains itself
  5. 📊 Results
  6. 🧭 Roadmap
  7. 🔍 Limitations
  8. 🤝 Contributing and citation

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Documentation belongs to its respective authors. Reported project/model license: Apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.

What this repository does

Turn any LLM into a Jev-style decision model: typed decisions, real probabilities, no training. (continue updating)

Repository facts

Owner
nokia-applied-research
Primary language
Python
Stars
285
Forks
41
Open issues + pull requests
2
License
Apache-2.0
Archived
No
Default branch
main
Created
2026-09-21T05:55:40.000Z
Last push
2026-09-23T08:51:07.000Z

Topics and intended use

Owner-supplied topics: calibration, decision-model, jev, jev-model, llm, system-one, transformers, vllm

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