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Jev directory

Jev Benchmarks & Evaluations

291 curated Jev entries. Benchmarks, calibration studies, independent evaluations, and observability write-ups that measure how Jev actually behaves.

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All 291 Jev Benchmarks & Evaluations

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SlopCop blog post by Jonathan Ellis, published November 12, 2026, reporting a bakeoff of Jev against Gemini Decisions and OpenAI for classifying GitHub event relevance, the switch to GLiDE from Fastino Labs, and lessons on eval design.
Jev Benchmarks & EvaluationsArticle#evaluation#benchmark#research
Community
A five-notebook Jupyter hands-on that runs Jev and Kev, an Apache-2.0 decision model served locally with llama.cpp, over the SMS Spam Collection, comparing accuracy and threshold effects across Kev-4B, 9B, and 27B.
Jev Benchmarks & Evaluations#evaluation#python#local
CodeCut article by Khuyen Tran comparing TypeSafe Jev, RapidFuzz, and Sentence Transformers on the Abt-Buy product matching benchmark, with per-tool merge counts and a walkthrough of asking Jev which product is the same.
Jev Benchmarks & EvaluationsArticle#evaluation#benchmark#classification
Community
arXiv paper examining numerical nondeterminism in vLLM Split-K LoRA kernels and introducing a deterministic Triton Split-K implementation, measured on GSM8K, MBPP, and Jev-style structured toxicity decisions over Civil Comments.
Jev Benchmarks & EvaluationsArticle#arxiv#evaluation#calibration
Community
arXiv paper presenting AbductionBench, a unified framework and taxonomy for abductive reasoning tasks, instantiated on 27 datasets across ten domains and used to evaluate eight LLMs from four model families on single-choice explanation selection.
Jev Benchmarks & EvaluationsArticle#arxiv#benchmark#evaluation
Community
Hugging Face dataset holding the scored public predictions, latency timings, and environment for the Aster-JEV-27B vision run: 9,867 of 12,210 requests correct, public index 76.7057, mean 507.2 ms per request on one A800 80GB.
Jev Benchmarks & Evaluations#evaluation#benchmark#open-models
Community
Open, deterministic audit benchmark for System 1 decision models, covering calibration under label-preserving perturbations, cross-question interference, and post-hoc attribution faithfulness across five open-weight models and generative baselines.
Jev Benchmarks & EvaluationsArticle#arxiv#evaluation#calibration
Community
arXiv paper evaluating 67 systems, including 47 decision models and 20 LLMs, on 43 Arabic tasks across 9 task families under a shared zero-shot protocol. Jev 1.14.0 scores 69.24 against 68.77 for Jev 1.13.0 and 71.81 for Gemma-4-31B.
Jev Benchmarks & EvaluationsArticle#arxiv#evaluation#benchmark
Community
Hugging Face dataset of medical clinical-decision multiple-choice items in Jev request shape, with a clinical_question state and a decision question carrying type, instructions, and criteria. Between 100K and 1M rows across Chinese, English, Japanese, and four more languages.
Jev Benchmarks & Evaluations#evaluation#benchmark#classification
Community
Multilingual benchmark of nine suites in 122 languages that evaluates typed decision models such as Jev, Clef, and pplx-decider, and tests whether confidence thresholds fitted on English transfer to other languages.
Jev Benchmarks & EvaluationsArticle#arxiv#evaluation#benchmark
Community
arXiv paper evaluating Jev as a safety guardrail for a Qwen2.5-1.5B-based pipeline across 970 benchmark prompts, comparing an unfiltered LLM, Jev input filtering, and tiered input filtering with selective output review.
Jev Benchmarks & EvaluationsArticle#arxiv#evaluation#guardrails
Community
Hugging Face dataset of Jev decision-index results from the mjev-vl-4b vision-language checkpoint, pairing decision and probability outputs with execution metadata, image budgets, latency, and SHA-256 hashes for weights and inference code.
Jev Benchmarks & Evaluations#evaluation#calibration#benchmark
Community
arXiv study adapting an online shopping experiment to three decision models, including Jev, to test whether digital nudges steer non-generative System One models. Reports 600 runs per model and compares default and social-influence choices against a control.
Jev Benchmarks & EvaluationsArticle#arxiv#evaluation#research
Community
Hugging Face dataset of teacher judgments for ROR affiliation point matching, named for Jev distillation. Each row pairs an affiliation text with ROR identifiers and calibrated probabilities, across 200k rows in train and validation splits.
Jev Benchmarks & Evaluations#calibration#evaluation#classification
Community
arXiv paper auditing three remedy-decision systems on US consumer financial complaints: GPT-4o-mini, GPT-5-mini, and Jev, a probabilistic System One model returning a distribution over remedies. It separates group-scale disparities from individual decision instability.
Jev Benchmarks & EvaluationsArticle#arxiv#evaluation#benchmark
Community
arXiv study of two-tier web attack triage that holds seven attack families out of training, recalibration and thresholds, then compares zero-shot decision models including Jev with supervised detectors, a local language model, the OWASP Core Rule Set and an anomaly baseline.
Jev Benchmarks & EvaluationsArticle#arxiv#security#evaluation
Community
arXiv paper auditing AI-text humanizers for fact retention and detector evasion, using a rule-based checker and a zero-shot Jev question to separate human originals from humanized rewrites.
Jev Benchmarks & EvaluationsArticle#arxiv#evaluation#benchmark
Community
A synthetic question-answer corpus about the Jev family of decision models, published as a diagnostic for fine-tuning pipelines. Version 1.0 ships 10,389 training pairs and 265 held-out evaluation questions drawn from 58 source units, so a training run can be scored before and after.
Jev Benchmarks & Evaluations#evaluation#benchmark#python
Community
0GitHub stars
Portuguese-language technical study of Jev, TypeSafe AI's System One decision model, benchmarked against a structured-output LLM baseline. Ships a Python 3.11 harness, a 45-task synthetic eval set, and a runner that records decisions, confidence, latency, tokens, and estimated cost.
Jev Benchmarks & Evaluations#github#evaluation#calibration
arXiv paper comparing two releases of Ru-Jev, a 307M-parameter multilingual cross-encoder trained on thirteen Russian-language tasks, to test whether an augmentation that presents labels in several surface forms helps when callers supply their own option wording.
Jev Benchmarks & EvaluationsArticle#arxiv#evaluation#calibration
Community
Hightouch blog write-up testing whether fast decision models Jev and GPT-6 Luna can grade identity resolution as well as frontier LLMs. Reports out-of-the-box accuracy, calibration differences, and a hybrid Jev plus Opus harness that reaches frontier accuracy at over 4x lower cost.
Jev Benchmarks & EvaluationsArticle#evaluation#calibration#benchmark
Community
arXiv paper presenting RouteAlign, a method that uses task requirements to structure model performance measurement and LLM service selection. Reports quality gains over open Jev-style decision backends at lower generation cost.
Jev Benchmarks & EvaluationsArticle#arxiv#routing#evaluation
Community
Independent audit of a frozen System One model on 142,658 human-labeled comments, benchmarked against 14 frontier reasoning models. It reports AUROC 0.83, ~USD 0.000025 per call, ~100 ms, and separates human disagreement from decision risk.
Jev Benchmarks & EvaluationsArticle#arxiv#evaluation#calibration
Community
arXiv paper testing representation invariance and abstention on measured optical spectra of silicon metasurfaces and gold nanoparticles, evaluating d3-nano, Jev 1.13, three GPT-6 Luna configurations, and Qwen3.5-2B.
Jev Benchmarks & EvaluationsArticle#arxiv#evaluation#calibration
Community
Controlled audit of presentation sensitivity in typed decision models, comparing Jev, Clef Flash, and Perplexity Decider across native choice and score interfaces on 9,000 multiply annotated humor, helpfulness, and summarization items.
Jev Benchmarks & EvaluationsArticle#arxiv#evaluation#calibration
Community
arXiv paper introducing S1CogBench, a benchmark that runs 24 cognitive experiments against System One decision models, including Jev and five open models, to test whether typed decisions respond to evidence, feedback, memory load, and future opportunities.
Jev Benchmarks & EvaluationsArticle#arxiv#evaluation#benchmark
Community
arXiv paper presenting a bias audit protocol for System One decision models, covering BBQ, CrowS-Pairs, and SilverSpoon adapted to the typed interface, twelve models plus a no-thinking ablation, and 1,638,000 decisions with swapped options.
Jev Benchmarks & EvaluationsArticle#arxiv#evaluation#benchmark
Community
arXiv study that evaluates ride-hailing rebalancing policies under the EU Platform Work Directive's disclosure requirement, using self-interested LLM driver agents built on Claude Haiku 5.5 and Jev in a three-zone model and in Manhattan.
Jev Benchmarks & EvaluationsArticle#arxiv#research#agents
Community
arXiv paper testing whether Jev can rank candidate demonstrations for in-context learning by judging their utility for a given query, and distilling that judgment into a lightweight MLP to cut the cost of large-scale retrieval.
Jev Benchmarks & EvaluationsArticle#arxiv#research#evaluation
Community
arXiv paper presenting the first systematic bias and fairness audit of Jev, a typed-decision model for recruitment. It measures how demographic attributes and candidate cues shift screening scores, rankings, and shortlisting, against a noise floor, plus validity, latency, and cost.
Jev Benchmarks & EvaluationsArticle#arxiv#evaluation#research
Community
arXiv paper presenting Slot Attack, a black-box attack that appends text to evidence to steer decision models toward an attacker-chosen wrong option. Evaluates seven decision models on 16 Decision Bench tasks across seven domains.
Jev Benchmarks & EvaluationsArticle#arxiv#security#evaluation
Community
Pytest-based framework that judges mocked LLM outputs with Cloudflare clef-flash, a 9B decision model served locally by Ollama. Metrics turn typed probabilities into values between 0 and 1 and PASS/FAIL against a threshold.
Jev Benchmarks & Evaluations#evaluation#local#python
arXiv paper testing whether compact structured memory improves a probabilistic decision model's answers on 30 fully synthetic clinical cases across twelve domains, evaluated with 120 typed questions and reporting accuracy, log loss, Brier score, token and latency costs.
Jev Benchmarks & EvaluationsArticle#arxiv#evaluation#calibration
Community
Hugging Face dataset of 150 crypto-domain user queries, each labeled with a router intent and a guardrail decision. Rows carry id, text, router, guardrail, and source fields, covering 14 router labels and allow, advice, and off_topic guardrails.
Jev Benchmarks & Evaluations#routing#classification#guardrails
Community
arXiv paper proposing OLIVIA, a protocol for look-ahead-free tests of AI decision models, applied to probability-returning models reading S&P 500 news with masked company identities, validation-only selection, and a hash-frozen analysis plan.
Jev Benchmarks & EvaluationsArticle#arxiv#evaluation#benchmark
Community
arXiv evaluation of 14 System-1 decision models, including Jev, against four generative judges on eleven judge benchmarks, covering accuracy, calibration, cost, and robustness to instructions injected into judged responses.
Jev Benchmarks & EvaluationsArticle#arxiv#evaluation#benchmark
Community
arXiv paper evaluating 22 hosted decision models and two prompted general models as runtime classifiers for a multi-rule coding-agent policy engine. It reports recall, false-positive, latency, and cost results on a 2,643-call synthetic dataset with a sealed holdout.
Jev Benchmarks & EvaluationsArticle#arxiv#evaluation#benchmark
Community
A TypeSafe AI Hugging Face dataset of agent trace observability records for evaluation workflows, with cases (111 rows), questions (1.12k rows), and run_results (999 rows) in parquet, including per-provider and consensus decision blocks.
Jev Benchmarks & Evaluations#evaluation#agents#benchmark
Community
Hugging Face dataset from TypeSafe AI of customer-service dialogs with per-policy decisions from OpenAI and Anthropic models and a mean-probability consensus field. Parquet, English, 1K–10K rows.
Jev Benchmarks & Evaluations#evaluation#benchmark#routing
Community
Hugging Face dataset from TypeSafe AI holding invoice documents as tabular and text data for evaluation workflows. Parquet files pair raw invoice text with structured fields such as line items, quantity, unit price, and amount.
Jev Benchmarks & Evaluations#evaluation#benchmark#python
Community
Hugging Face dataset from TypeSafe AI pairing security incident telemetry with model decision outputs. Tabular and text parquet rows, English, 1K–10K records, loadable with Datasets, pandas, or Polars.
Jev Benchmarks & Evaluations#evaluation#benchmark#security
Community
arXiv study applying Jev and Clef-Flash to manufacturing defect detection with as few as two reference images per class, including agentic refinement of text descriptions and probability calibration. Ships replication code, an R decisions package, and a no-code web app.
Jev Benchmarks & EvaluationsArticle#arxiv#calibration#classification
Community
Independent audit repository testing whether Jev's probabilities are calibrated on EIA weekly petroleum reports, comparing Jev via LangChain TypeSafeClassifier against an LLM-as-classifier, rules, and climatology baselines.
Jev Benchmarks & Evaluations#evaluation#calibration#benchmark
Hugging Face dataset holding the run artifacts of the rsi-jev-27b-vision evaluation: per-shard results, vision scores, latency summaries, environment and provenance files, and worker logs, each recorded with byte size and SHA-256 hash.
Jev Benchmarks & Evaluations#evaluation#benchmark#open-models
Community
Case study evaluating Jev 1.13.0 on time-series decision tasks, including classification, event type prediction, oil temperature direction, and stock movement, converting continuous forecasts into discrete decisions and scoring accuracy and AUC.
Jev Benchmarks & EvaluationsArticle#arxiv#evaluation#benchmark
Community
arXiv paper introducing PrimaCons, a four-axis benchmark measuring whether Jev gives consistent decisions when the same semantic state is expressed as different typed query primitives, plus the Cross-Primitive Residual Calibrator (CPRC) proposed to reduce that inconsistency.
Jev Benchmarks & EvaluationsArticle#arxiv#evaluation#calibration
Community
Hugging Face dataset from TypeSafe AI for evaluating decision models on workplace documents. Three subsets cover 150 cases, 7.5k questions and 67.5k run results, distributed as parquet in English under an Apache-2.0 license.
Jev Benchmarks & Evaluations#evaluation#benchmark#python
Community
arXiv paper presenting FlipJev, a fast black-box query-based red-teaming attack that finds short universal adversarial suffixes for Jev. It reports experiments on 12 datasets, 10,240 paired prompt-injection tests, and cross-task suffix transfer of 90-100%.
Jev Benchmarks & EvaluationsArticle#arxiv#security#evaluation
Community

Index of all 291 entries

Start here with the Jev AI model

Featured entries in benchmarks & evaluations.

24.2kGitHub stars
An open Claude Cowork-style workspace whose eval testkit can call Jev as a typed verification judge on agent-produced artifacts.
Jev Benchmarks & Evaluations#community#typescript#agents

Jev AI model articles

Original guides that go deeper on Jev benchmarks & evaluations.

A benchmark is an argument, not a verdict. How contamination, selection, and vendor framing shape the numbers behind decision models.
Jev Benchmarks & Evaluations#evals#benchmarks#integrity
Read article
A model score is not a workflow score. How harnesses, traces, and end-to-end labels change what an agent evaluation can tell you.
Jev Benchmarks & Evaluations#evals#agents#traces
Read article
Using a fast decision model to judge traces or outputs is not the same as using a frontier LLM judge. What the evidence says about agreement and cost.
Jev Benchmarks & Evaluations#evals#judges#agents
Read article

From the Jev community

Watch walkthroughs, read the threads, and see what builders are posting.

YouTube: Sam Witteveen on System 1 thinking, then Choice, Score, and Noul demos, and chained actions.

YouTube: Nate Herk compares speed and cost against ordinary models, then builds an X feed classifier and a paper-trading prototype.

YouTube: Ray Amjad puts Jev inside an agentic coding loop and looks at what it costs to run.

Hacker News: OpenAI's Luna Decisions API framed as a fast follow to TypeSafe's Jev wave.

matt_d6 pointsOpenAI Answers TypeSafe's Jev with a Decision API Built on LunaRead the thread on Hacker News

Hacker News: Nikola Balić on what made the Jev launch easy to try and easy to share.

nkko2 pointsWhat TypeSafe Got Right with the Jev LaunchRead the thread on Hacker News

Hacker News: Pointer to a DiffusionGemma plus vLLM tutorial for a Jev-shaped classifier.

1 pointHow to build a Jev-style classifier with DiffusionGemma and vLLMRead the thread on Hacker News

Hacker News: SafeDep Gryph plus Jev checks for compromised coding-agent behavior.

2 pointsDetecting Compromised AI Coding Agents with Jev and GryphRead the thread on Hacker News