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Home/Authors/Jordi Mola

Jordi Mola

1 indexed paper

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1
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Publications per year

1
26

Top categories

ML×1Crypto×1

Frequent co-authors

Chenhao Fang1×
Mark Harman1×
Jason Nawrocki1×
Vaibhav Shrivastava1×
Yue Cheng1×
Jay Minesh Shah1×

Research Timeline

2026
Reducing Hallucination in Enterprise AI Workflows via Hybrid Utility Minimum Bayes Risk (HUMBR)

The paper introduces a Hybrid Utility Minimum Bayes Risk (HUMBR) framework to significantly reduce hallucinations in high-stakes enterprise AI workflows, outperforming standard consistency methods.

Highlighted terms show continued research focus across papers

Papers

cs.LGcs.CRRecentApr 13, 2026

Reducing Hallucination in Enterprise AI Workflows via Hybrid Utility Minimum Bayes Risk (HUMBR)

Chenhao Fang, Jordi Mola, Mark Harman, Jason Nawrocki +9 more

The paper introduces a Hybrid Utility Minimum Bayes Risk (HUMBR) framework to significantly reduce hallucinations in high-stakes enterprise AI workflows, outperforming standard consistency methods.

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