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docs: update readme
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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@@ -11,10 +11,11 @@ on the Banking77 benchmark (13,083 queries, 77 intents), inspired by
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JP Morgan's MAFA system (AAAI 2026).
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> **Why this exists:** Manual data annotation costs enterprises ~$0.15/item and
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> doesn't scale. JP Morgan Chase eliminated a 1M-utterance backlog saving 5,000+
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> hours/year using a multi-agent approach (MAFA, AAAI 2026). This project
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> independently reproduces and benchmarks a similar architecture on the public
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> Banking77 dataset, enabling direct comparison against their published results.
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> doesn't scale. JP Morgan Chase published a multi-agent annotation framework
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> (MAFA, AAAI 2026) that automated large-scale intent annotation, reporting 86%
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> agreement with human annotators. This project independently reproduces and
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> benchmarks a similar architecture on the public Banking77 dataset, enabling
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> direct comparison against their published results.
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