Adaptive agent teams improve consistency in long-form subtitle translation

SMART builds series-level memory and adjusts its agent prompts and routing before translating the rest of a series.

Big Tech
Haibo Jin · Xinjie Li · Najmeh Sadoughi · Yang Liu · Yibo Wang · Zhu Liu · +1 more

University of Illinois Urbana-Champaign · Amazon

Research Digest··3 min read
Jin et al.

SMART first processes a subset of a series in a test-time training stage.

Why this paper

From Amazon and University of Illinois Urbana-Champaign · Part of Multi-Agent Coordination, now 33 papers

In one line

SMART self-evolving multi-agent system improves long-form subtitle translation across 15 locales, reducing penalty by 6.9%.

What we could check

  • ·No code link found
  • ·No weights link found
  • ·No dataset link found
  • ·No compute details found
  • ·No stated limitations found
  • ✓Reports numbers on named benchmarks (3 benchmarks)

Observed from the paper text and links we have. Absence here means we did not find it, not that it does not exist.

§
newspaper

Research Digest

Articles published under the Zotpaper byline are synthesized from multiple source publications by our AI editor and reviewed by our editorial process. Each story combines reporting from credible outlets to give readers a balanced, comprehensive view.