·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
People are using AI to make their smart TVs dumb again1h◆Nvidia launches new open models to run agents in the enterprise and on PCs2h◆JB Pritzker thinks AI could help us live to 100 — or threaten us like nukes3h◆A hacker broke into John Deere and SharkNinja with an army of AI agents4h◆Democrats think cracking down on AI could give them an edge6h◆AI researchers stranded Claude on a virtual desert island. It started to “play.”9h◆A Theoretical Analysis of Test-Driven Code Generation14h◆Scalable Adaptation of 3D Geometric Foundation Models via Weak Supervision from Internet Video14h◆Can Graph Learning Learn Circuits?14h◆Beyond Fixed Acquisition Functions: Temporal Difference Active Learning for Perturbation Discovery14h◆Trajectory-Guided Steering: Mitigating Spurious Feature Bias in Clinical Classification14h◆Sentence-Level Topic Modeling with Lexical and Contextual Evidence14h◆Referring Multi-Object Tracking with Diverse Dynamic Expressions14h◆Rarity of Singletons Matters & Supplementary Materials14h◆TANGO: RNA Topology and Geometry Co-Design14h◆Handwritten Text Recognition Lives in the High-Pixel Variance Subspace14h◆RealtimeWAM: One-Step Asynchronous World Action Models14h◆How Well Do Prior-Data Fitted Networks Amortize Bayesian Inference?14h◆R$^2$ Flow: Recursive Self-Improvement via Recursive Skill Evolution14h◆Logic-Guided Graph Denoising Diffusion Models14h◆People are using AI to make their smart TVs dumb again1h◆Nvidia launches new open models to run agents in the enterprise and on PCs2h◆JB Pritzker thinks AI could help us live to 100 — or threaten us like nukes3h◆A hacker broke into John Deere and SharkNinja with an army of AI agents4h◆Democrats think cracking down on AI could give them an edge6h◆AI researchers stranded Claude on a virtual desert island. It started to “play.”9h◆A Theoretical Analysis of Test-Driven Code Generation14h◆Scalable Adaptation of 3D Geometric Foundation Models via Weak Supervision from Internet Video14h◆Can Graph Learning Learn Circuits?14h◆Beyond Fixed Acquisition Functions: Temporal Difference Active Learning for Perturbation Discovery14h◆Trajectory-Guided Steering: Mitigating Spurious Feature Bias in Clinical Classification14h◆Sentence-Level Topic Modeling with Lexical and Contextual Evidence14h◆Referring Multi-Object Tracking with Diverse Dynamic Expressions14h◆Rarity of Singletons Matters & Supplementary Materials14h◆TANGO: RNA Topology and Geometry Co-Design14h◆Handwritten Text Recognition Lives in the High-Pixel Variance Subspace14h◆RealtimeWAM: One-Step Asynchronous World Action Models14h◆How Well Do Prior-Data Fitted Networks Amortize Bayesian Inference?14h◆R$^2$ Flow: Recursive Self-Improvement via Recursive Skill Evolution14h◆Logic-Guided Graph Denoising Diffusion Models14h◆
News/Deja Vu at Scale: Paraphrase-Robust Detection of Duplicate Gherkin Steps in Behaviour-Driven Software Testing with Sentence-Transformer Embeddings and a 1.1M-Step Open Benchmark
arxiv
PublishedJune 15, 2026 at 4:00 AM

Deja Vu at Scale: Paraphrase-Robust Detection of Duplicate Gherkin Steps in Behaviour-Driven Software Testing with Sentence-Transformer Embeddings and a 1.1M-Step Open Benchmark

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

arXiv:2604.20462v3 Announce Type: replace-cross Abstract: Context. Behaviour-Driven Development (BDD) suites in Gherkin accumulate step-text duplication with documented maintenance cost. Prior detectors either require runnable tests or are single-organisation, leaving a gap: a static, paraphrase-rob

Stay posted· Newsletter

Three short emails a week: Monday, Wednesday and Friday. Top movers, new models and the most-referenced story.

// no spam · unsubscribe one-click · free forever

Your email is used only to send The Bubble Brief. Privacy policy

Discussion
Source
↗
arxiv
Read original ↗All from arxiv →

No replies yet. Be first.

Source
↗
arxiv
Read original ↗All from arxiv →

Related coverage

More from ARXIV
arxivA Theoretical Analysis of Test-Driven Code Generation14harxivScalable Adaptation of 3D Geometric Foundation Models via Weak Supervision from Internet Video14harxivCan Graph Learning Learn Circuits?14harxivBeyond Fixed Acquisition Functions: Temporal Difference Active Learning for Perturbation Discovery14h
The Bubble Brief
MON · WED · FRI

Read AI insights every Monday, Wednesday and Friday — top movers, new models, story of the week.

// no spam · unsubscribe one-click · free forever

Your email is used only to send The Bubble Brief. Privacy policy

Originally published on arxiv ↗
PrivacyTermsRefundsLegal notice|AboutMethodologyContact

© 2026 Databubble

Built by Marouane Gazouzi · Readyo, AI interview coach

HomeModelsNews