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Benchmarks and comparisons with decision models

Head-to-head studies and leaderboards that measure accuracy, calibration, latency and cost of decision models against LLMs or each other.

354 public projects · page 4 of 12

  • Craftax survival agent where Jev picks one Choice per step from code-listed actions, with optional LLM goals, plus ablations.

    ProjectresearchPython
  • Independent 52-page Chinese report on Jev that checks vendor claims and reproduces 50 Chinese tests, with traceable data.

    ProjectresearchPython
  • Compares Jev's zero-shot reranking with specialist rerankers on MS MARCO passage and document benchmarks and a TREC WSJ transfer test.

    ProjectresearchPython
  • Reproducible evaluation harness and field note for the Jev Ultrafast research browser, with QC-graded baseline and stress suites.

    ProjectresearchPython
  • Short report comparing Jev and many other fast decision classifiers with an LLM on grading section relevance in technical documents.

    Projectresearch
  • Small Jev measurement bench with an append-only call log, labelled claims and a stated negative result.

    ProjectresearchPython
  • Tetris where each reachable placement is an English sentence that Jev ranks, with controls showing a regex baseline does better.

    ProjectresearchJavaScript
  • Harness that runs Jev on all 19,646 TMMLU+ Traditional Chinese questions as four-way Choices, reporting accuracy and calibration.

    ProjectresearchPython
  • Benchmark release evaluating Theory of Mind in five typed decision models versus seven generative baselines on nine ToM datasets.

    ProjectresearchPython
  • Benchmark of BM25, embeddings, rerankers and Jev for picking the right MCP tool among 525, plus an experimental Jev search engine.

    MCP serverresearchTypeScript
  • Research code evaluating Jev as an independent per-tool relevance judge for building task-level tool spaces on TGB, BFCL and GTA.

    ServiceresearchPython
  • Point-in-time O'Neil momentum backtest where Jev picks entries and judges exits, with a jackknife showing no resolvable edge over rules.

    ProjectresearchPython
  • Decision Lab: sixty finance demos asking Jev, OpenAI Decisions and twelve other decision models the same questions, graded.

    ProjectresearchJavaScript
  • RPG experiment pitting Jev against OpenAI's Decisions API as NPCs, comparing wins, per-move accuracy, calibration and cost.

    ServiceresearchPython
  • Learning project benchmarking zero-shot Jev and GPT models against scikit-learn classifiers and ModernBERT on five datasets.

    ProjectresearchPython
  • Benchmark harness pitting Jev against Claude Sonnet 5 and Haiku 4.5 on Banking77 intent sorting with a confidence gate.

    ProjectresearchPython
  • Evaluates Jev as a fixed policy in Gymnasium and Atari games, picking a legal action each step via one Choice question.

    ProjectresearchPython
  • C/C++ compiler driver where Jev decides whether to inline each discretionary call site, compared against Clang -Oz.

    ProjectresearchPython
  • Research code showing that short, natural-looking context additions can flip decision models like Jev to a chosen wrong answer.

    ProjectresearchPython
  • Benchmark of Jev against low-cost LLMs on 130,000 classification decisions across five datasets for accuracy, cost and latency.

    ProjectresearchPython
  • Experiment testing whether a local Qwen read via label log-probabilities can replace Jev on synthetic AIOps alert decisions.

    ProjectresearchPython
  • Open Jev-class decision models on Qwen3.5 with candidate-logit readout; the 4B model reports 80.1% on JevBench's 231 items.

    ProjectresearchPython
  • Local Jev-style decision model on Qwen3.5-4B with four stress tests that show where one-pass decisions break.

    ProjectresearchPython
  • LogitTrail (formerly Mini Jev): local workbench that reads typed Choice, Noul and Score decisions from a frozen LLM's logits.

    Projectresearch
  • Model Kombat: a 12,000-neuron fly connectome fights Jev in mk.js, with Jev picking one of seven moves about five times a second.

    ProjectresearchPython
  • Reproduction and stress test of a paper asking whether Jev-style probabilities stay calibrated after routing on selected examples.

    ProjectresearchPython
  • Open System-1 (OpenJev): Apache-2.0 research models giving calibrated per-option probabilities, best is a 4.9B exp9a.

    ProjectresearchPython
  • Independent reproduction of Jev-style decision-model post-training on MiniCPM5-2B with LoRA, a sealed holdout and stated limits.

    ProjectresearchPython
  • Preliminary SHADE-Arena study of Jev as a monitor and per-action gate for covert agent sabotage, compared with Gemini 2.5.

    ProjectresearchPython
  • Open Jev replica on Gemma 4 E2B and Gemma 3 270M served on Modal, with eight demos and a TypeSafe eval head-to-head.

    ProjectresearchPython