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Diversity boosts AI-generated text detection

2 Pith papers cite this work. Polarity classification is still indexing.

2 Pith papers citing it

citation-role summary

background 1 baseline 1

citation-polarity summary

fields

cs.CL 1 cs.CY 1

years

2026 2

verdicts

UNVERDICTED 2

representative citing papers

The Impact of AI-Generated Text on the Internet

cs.CY · 2026-04-14 · unverdicted · novelty 7.0

By mid-2025 roughly 35% of new websites are AI-generated or AI-assisted, correlating with lower semantic diversity and higher positive sentiment but showing no significant drop in factual accuracy or stylistic diversity.

MELD: Multi-Task Equilibrated Learning Detector for AI-Generated Text

cs.CL · 2026-05-07 · unverdicted · novelty 6.0

MELD is a multi-task AI-text detector using auxiliary heads, uncertainty-weighted losses, EMA distillation, and pairwise ranking that reaches 99.9% TPR at 1% FPR on a new held-out benchmark while remaining competitive on the RAID leaderboard.

citing papers explorer

Showing 2 of 2 citing papers.

  • The Impact of AI-Generated Text on the Internet cs.CY · 2026-04-14 · unverdicted · none · ref 4

    By mid-2025 roughly 35% of new websites are AI-generated or AI-assisted, correlating with lower semantic diversity and higher positive sentiment but showing no significant drop in factual accuracy or stylistic diversity.

  • MELD: Multi-Task Equilibrated Learning Detector for AI-Generated Text cs.CL · 2026-05-07 · unverdicted · none · ref 5

    MELD is a multi-task AI-text detector using auxiliary heads, uncertainty-weighted losses, EMA distillation, and pairwise ranking that reaches 99.9% TPR at 1% FPR on a new held-out benchmark while remaining competitive on the RAID leaderboard.