·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
AI researchers stranded Claude on a virtual desert island. It started to “play.”2h◆RCPN: towards robust pseudo-labels in unsupervised CLIP adaptation via consistent prototypes and neighborhoods7h◆Can Graph Learning Learn Circuits?7h◆Beyond Fixed Acquisition Functions: Temporal Difference Active Learning for Perturbation Discovery7h◆Trajectory-Guided Steering: Mitigating Spurious Feature Bias in Clinical Classification7h◆Sentence-Level Topic Modeling with Lexical and Contextual Evidence7h◆Referring Multi-Object Tracking with Diverse Dynamic Expressions7h◆R$^2$ Flow: Recursive Self-Improvement via Recursive Skill Evolution7h◆Logic-Guided Graph Denoising Diffusion Models7h◆Unit-level aggregation breaks coverage in causal foundation models7h◆Mask-Based Deep Symbolic Regression7h◆From Events to Reasoning: Hierarchical Rule Composition over Explicit States7h◆ECHOES: Seeing Beyond the Current Image via Recursive History Compression and Privileged On-Policy Distillation7h◆Sensitivity Analysis of Decision Rules in an Agent-Based Agro-Ecological Model7h◆PRIME: Towards Verifiable Evidence-Grounded Reasoning in LLM Agents7h◆From Natural Language Intent to Executable Control: Hierarchical Feedback-Guided LLM Planning for Multi-component Cyber-Physical Systems7h◆Functional Welfare for AI Safety7h◆FRACTAL: A Self-Similar Multi-Agent Orchestration Architecture with Formal Communication, Convergence, and Depth Bounds7h◆Repairing LLM-Generated Specifications with Deterministic Diagnosis7h◆At the Limits of Computability: Steps Towards Autonomous AI Discovery on the Busy Beaver Frontier7h◆AI researchers stranded Claude on a virtual desert island. It started to “play.”2h◆RCPN: towards robust pseudo-labels in unsupervised CLIP adaptation via consistent prototypes and neighborhoods7h◆Can Graph Learning Learn Circuits?7h◆Beyond Fixed Acquisition Functions: Temporal Difference Active Learning for Perturbation Discovery7h◆Trajectory-Guided Steering: Mitigating Spurious Feature Bias in Clinical Classification7h◆Sentence-Level Topic Modeling with Lexical and Contextual Evidence7h◆Referring Multi-Object Tracking with Diverse Dynamic Expressions7h◆R$^2$ Flow: Recursive Self-Improvement via Recursive Skill Evolution7h◆Logic-Guided Graph Denoising Diffusion Models7h◆Unit-level aggregation breaks coverage in causal foundation models7h◆Mask-Based Deep Symbolic Regression7h◆From Events to Reasoning: Hierarchical Rule Composition over Explicit States7h◆ECHOES: Seeing Beyond the Current Image via Recursive History Compression and Privileged On-Policy Distillation7h◆Sensitivity Analysis of Decision Rules in an Agent-Based Agro-Ecological Model7h◆PRIME: Towards Verifiable Evidence-Grounded Reasoning in LLM Agents7h◆From Natural Language Intent to Executable Control: Hierarchical Feedback-Guided LLM Planning for Multi-component Cyber-Physical Systems7h◆Functional Welfare for AI Safety7h◆FRACTAL: A Self-Similar Multi-Agent Orchestration Architecture with Formal Communication, Convergence, and Depth Bounds7h◆Repairing LLM-Generated Specifications with Deterministic Diagnosis7h◆At the Limits of Computability: Steps Towards Autonomous AI Discovery on the Busy Beaver Frontier7h◆
News/Fine-tuning DeepSeek-OCR-2 for Molecular Structure Recognition
arxiv
PublishedApril 22, 2026 at 4:00 AM
—neutral

Fine-tuning DeepSeek-OCR-2 for Molecular Structure Recognition

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

arXiv:2604.03476v2 Announce Type: replace-cross Abstract: Optical Chemical Structure Recognition (OCSR) is critical for converting 2D molecular diagrams from printed literature into machine-readable formats. While Vision-Language Models have shown promise in end-to-end OCR tasks, their direct applic

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
arxivRCPN: towards robust pseudo-labels in unsupervised CLIP adaptation via consistent prototypes and neighborhoods7harxivCan Graph Learning Learn Circuits?7harxivBeyond Fixed Acquisition Functions: Temporal Difference Active Learning for Perturbation Discovery7harxivTrajectory-Guided Steering: Mitigating Spurious Feature Bias in Clinical Classification7h
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