App · Benchmarks & research
call-eval
Post-call customer-experience evaluation for contact-centre transcripts: Jev (or an offline rule extractor) pulls typed facts with evidence spans,…
Open henryzhangpku.github.io ↗How builders describe it
Post-call customer-experience evaluation for contact-centre transcripts: Jev (or an offline rule extractor) pulls typed facts with evidence spans, deterministic code turns them into satisfaction and sentiment scores, and a calibration layer anchors scores to surveys — all on synthetic data with a…
The decision Jev makes
Benchmark questions with known answers, to check accuracy and confidence.
Where it fits
Head-to-head tests, calibration studies and independent research into how well Jev decides, how fast, and at what cost. All 682 benchmarks & research projects →
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