Skip to content

Evaluation & Benchmarking

Harnesses, judges and benchmarks that use or measure decision models. This covers LLM-as-judge replacements, regression gates on model output, and head-to-head accuracy, latency and cost comparisons.

231 public projects · page 2 of 8

  • Single-script CLI and library for NLI classification and multiple-choice reranking with the AlexWortega/openjev Qwen3.5-4B cross-encoder.

    ProjectprototypePython
  • Localhost teaching aid that uses Jev to estimate where instructional text asks readers to hold too many ideas at once.

    ProjectprototypePython
  • Novelty demo that turns Jev answers to 22 Boolean gate questions into lookup tables for a simulated RISC-V CPU running compiled C.

    Projectprototype
  • Local PR reviewer: deterministic diff handling plus Jev or Laya judgments of severity, category and true-positive per hunk.

    ProjectprototypePython
  • Portuguese workshop: a LangGraph sales agent where each decision step can be made by Jev or a frontier LLM and measured side by side.

    ProjectprototypePython
  • Benchmark testing whether Jev or open Kev can replace an LLM judge in agent guardrail callbacks on 7,925 public examples.

    ProjectresearchPython
  • Study of Jev's choices in multi-armed bandits, testing whether Bayesian instructions and supplied statistics improve its exploration.

    Projectresearch
  • Experiments testing whether Jev can spot positive-expected-value dice bets from payout tables, and whether recent wins or losses sway it.

    Projectresearch
  • GoodWatch movie and TV recommendation monorepo, listed for an experiment comparing Jev question designs for attribute scoring.

    ProjectresearchTypeScript
  • Zero-shot run of Jev 1.13 on all seven LexGLUE legal tasks (23,607 examples) versus GPT-5.6 Luna, open models and fine-tuned BERT.

    ProjectresearchPython
  • Pre-specified study running Jev and GPT-4.1 as 300 synthetic survey respondents; question format mattered more than model.

    ProjectresearchPython
  • LlamaIndex notebook comparing Jev with open decoders, encoders and specialised tools on document-pipeline Choice tasks.

    ProjectresearchPython
  • Pre-registered paired audit of Jev on Spanish across 3,200 labelled items, plus a CLI to rerun it on your own data.

    CLIresearchPython
  • FGV Direito SP experiment comparing Jev with Gemini 3.8 Flash and GPT-5.6 Luna for annotating 12 variables in 120 TJSP court rulings.

    ProjectresearchPython
  • Pre-registered independent evaluation of Jev on intent classification and confidence-gated cascades, with a transparent erratum.

    LibraryresearchPython
  • Independent field guide to Jev 1.13.0 behaviour across 11,621 requests: framing sensitivity, Snake and 3D city driving experiments.

    ProjectresearchPython, TypeScript
  • Reliability-curve study of Jev on 240 hand-labelled agent tool calls, publishing labels, raw responses and scripts.

    ProjectresearchPython
  • Pre-registered study testing Jev's calibration claims on clinical diagnosis cases against Claude Opus 5 and Opus 5.5.

    ProjectresearchPython
  • Jev applied to SemEval-2026 DimABSA dimensional sentiment tasks using only typed primitives, no generation or fine-tuning.

    ProjectresearchPython
  • Benchmark harness comparing Jev with OpenRouter models and open Jev-shaped models on accuracy, calibration, latency and cost.

    ProjectresearchPython
  • Write-up testing whether Jev beats small fast LLM tiers on public and private classification, as a classifier or a filter.

    ProjectresearchPython
  • Third-party check of Jev versus GPT-4o-mini and Claude Sonnet 4.5 routing 60 multilingual photo-shoot booking inquiries.

    ProjectresearchTypeScript
  • Agent harness with 100 mocked tools measuring steps to finish tasks when the LLM picks tools versus when Jev picks them.

    ProjectresearchTypeScript
  • Experiments testing Jev ideas against baselines, starting with Jev as a top-10 tool router for MCP agents on three benchmarks.

    ProjectresearchPython
  • Audit of 300 web pages for AI citability with nine Jev decisions each, checked against an LLM judge for agreement, cost and latency.

    ProjectresearchPython
  • Nine-board gomoku workbench comparing how two Jev players respond to five different input representations of the board.

    ProjectresearchTypeScript
  • Same support agent and 25 rules guarded twice, by an LLM judge and by Jev, compared on accuracy, latency, cost and coverage.

    ProjectresearchTypeScript
  • Evaluation of Jev versus DeepSeek and Qwen on healthcare decision tasks: triage, diagnosis, medication, nursing and trial screening.

    ProjectresearchPython
  • Reproducible measurements of Jev's real cost, latency, response shapes and accuracy, plus 13 decision models on the same 633 items.

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

    ProjectresearchPython