arxiv
PublishedJune 30, 2026 at 4:00 AM
DeepTrans Studio: Turning Expert Interventions into Shared Team Knowledge in Agentic Translation Workflows
Publisher summary· verbatim
arXiv:2606.29727v1 Announce Type: new Abstract: Professional translation is often a team-based process: translators, reviewers, and project managers must coordinate terminology, legal force, and accountability across documents. Yet many LLM-based translation tools treat human corrections as isolated
Stay posted· Newsletter
A 5-min weekly brief — top movers, price watch, story of the week.
Discussion
No replies yet. Be first.
Related coverage
More from ARXIV
arxivBringing Value Models Back: Generative Critics for Value Modeling in LLM Reinforcement Learning8harxivSubagents vs Agent Skills: Executing Reusable Knowledge for Long-Horizon Agentic Tasks8harxivDistribution-Consistent Inference for Dynamic Sparse Mixture-of-Experts8harxivIn RAG We Trust? Measuring Robustness of Retrieval-Augmented Generation Under Document Poisoning8hThe Bubble Brief
WEEKLYRead AI insights every Tuesday — top movers, new releases, story of the week.
Originally published on arxiv ↗