·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
Latest
To buy this Bay Area home, you’ll need Anthropic equity7h◆Anthropic created a test marketplace for agent-on-agent commerce1d◆Maine’s governor vetoes data center moratorium1d◆OpenAI CEO apologizes to Tumbler Ridge community1d◆Why Cohere is merging with Aleph Alpha1d◆Why Tokyo is the most important tech destination of 20261d◆Apple under Ternus: what comes next for the tech giant’s hardware strategy1d◆Three reasons why DeepSeek’s new model matters2d◆Meta’s loss is Thinking Machines’ gain2d◆ComfyUI hits $500M valuation as creators seek more control over AI-generated media2d◆8 Gemini tips for organizing your space (and life)2d◆Google to invest up to $40B in Anthropic in cash and compute2d◆Apple’s new CEO, and why Elon Musk wants to buy Cursor for $60B2d◆How Project Maven taught the military to love AI2d◆Marked-up Mac minis flood eBay amid shortages driven by AI2d◆AirPods, Touch Bars, and the rest of Tim Cook’s legacy2d◆Uber CTO Praveen Neppalli Naga joins stacked StrictlyVC SF lineup for April 30 event2d◆Tim Cook is stepping down. What happens to Apple now?2d◆Nothing introduces an AI-powered dictation tool2d◆DeepSeek previews new AI model that ‘closes the gap’ with frontier models2d◆To buy this Bay Area home, you’ll need Anthropic equity7h◆Anthropic created a test marketplace for agent-on-agent commerce1d◆Maine’s governor vetoes data center moratorium1d◆OpenAI CEO apologizes to Tumbler Ridge community1d◆Why Cohere is merging with Aleph Alpha1d◆Why Tokyo is the most important tech destination of 20261d◆Apple under Ternus: what comes next for the tech giant’s hardware strategy1d◆Three reasons why DeepSeek’s new model matters2d◆Meta’s loss is Thinking Machines’ gain2d◆ComfyUI hits $500M valuation as creators seek more control over AI-generated media2d◆8 Gemini tips for organizing your space (and life)2d◆Google to invest up to $40B in Anthropic in cash and compute2d◆Apple’s new CEO, and why Elon Musk wants to buy Cursor for $60B2d◆How Project Maven taught the military to love AI2d◆Marked-up Mac minis flood eBay amid shortages driven by AI2d◆AirPods, Touch Bars, and the rest of Tim Cook’s legacy2d◆Uber CTO Praveen Neppalli Naga joins stacked StrictlyVC SF lineup for April 30 event2d◆Tim Cook is stepping down. What happens to Apple now?2d◆Nothing introduces an AI-powered dictation tool2d◆DeepSeek previews new AI model that ‘closes the gap’ with frontier models2d◆
News/Explainable Disentangled Representation Learning for Generalizable Authorship Attribution in the Era of Generative AI
arxiv
PublishedApril 24, 2026 at 4:00 AM
—neutral

Explainable Disentangled Representation Learning for Generalizable Authorship Attribution in the Era of Generative AI

Source
arxiv.orgfull article ↗
Read on arxiv→
Publisher summary· verbatim

arXiv:2604.21300v1 Announce Type: new Abstract: Learning robust representations of authorial style is crucial for authorship attribution and AI-generated text detection. However, existing methods often struggle with content-style entanglement, where models learn spurious correlations between authors

Discussion
Source
↗
arxiv
Read original ↗All from arxiv →

No replies yet. Be first.

Source
↗
arxiv
Read original ↗All from arxiv →
Originally published on arxiv ↗
HomeModelsNews