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MADE: A Living Benchmark for Multi-Label Text Classification with Uncertainty Quantification of Medical Device Adverse Events.

:::info Stub — Full Engineering Breakdown Coming This paper was published at ACL 2026. A full breakdown with production viability rating, implementation notes, and honest limitations is being written. Subscribe to AI Letters → :::

AuthorsRaunak Agarwal et al.
Year2026
VenueACL 2026
PaperView on ACL Anthology

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Abstract​

Abstract not yet available in this stub. Read the full paper →

Engineering Breakdown​

The Problem​

Abstract not yet available in this stub.

The Approach​

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Key Results​

See the abstract for the quantitative results and findings.

Research Areas​

This paper contributes to the following areas of AI/ML engineering:

  • Large language models
  • Transformers
  • Text generation
  • Natural language processing
  • Language understanding
  • Benchmark

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