arxiv
PublishedJuly 23, 2026 at 4:00 AM
▲bullish
Sentence Splitter: Uncovering Latent Factual Structure for Self-Supervised Learning
Publisher summary· verbatim
arXiv:2607.19845v1 Announce Type: cross Abstract: This paper introduces Sentence Splitter, a self-supervised framework built upon a T5-based encoder--decoder architecture for uncovering the latent factual structure of natural language sentences. The proposed method identifies the semantic boundary b
Models mentioned
01Stay posted· Newsletter
Three short emails a week: Monday, Wednesday and Friday. Top movers, new models and the most-referenced story.
Your email is used only to send The Bubble Brief. Privacy policy
Discussion
No replies yet. Be first.
Related coverage
More from ARXIV
arxivAn AI Security Agent for University ACMIS: Multi-Vector Threat Detection and Automated Response8harxivLearning Transferable Latent User Preferences for Human-Aligned Decision Making8harxivRepair the Core, Not the Symptom: Planning-Graph Repair for Long-Horizon Agents8harxivIndustryForge-27B: A Domain-Enhanced Multimodal Foundation Model for Industrial CAD8hThe Bubble Brief
MON · WED · FRIRead nlp insights every Monday, Wednesday and Friday — top movers, new models, story of the week.
Your email is used only to send The Bubble Brief. Privacy policy
Originally published on arxiv ↗