·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
Apple CEO says the company doesn’t ‘want to ship AI for AI’s sake’8h◆4 days left: How TechCrunch Founder Summit helps you make more useful connections to scale8h◆Judge allows NAACP lawsuit over xAI data center pollution to move forward9h◆OpenAI reportedly lowers funding target for new round14h◆I built an AI Tamagotchi before Meta could14h◆From Local Recovery to Unified Generation: Discovering Triple Set in Knowledge Graphs via Observation-Anchored Latent Diffusion1d◆NeuroBridge: Bio-Inspired Self-Supervised EEG-to-Image Decoding via Cognitive Priors and Bidirectional Semantic Alignment1d◆Long-Term Agent Memory through Complementary Curation and Consolidation1d◆EvoTeam: Multi-Agent Collaboration via Evolving Teams1d◆When More Planning Hurts: Learned Planners for World Models1d◆A Tutorial on Generative Models for Music Audio1d◆Hammering with Vampire in Lean1d◆An Alignment Benchmark for Enterprise Agents on Era by Eon1d◆Sparse Fine-Tuning for Parameter-Efficient Adversarial Training1d◆Wiring Beats Blending: Structure-Aware Compensation for Transformer Downscaling1d◆Human--AI Interactions as First-Class Data: A Formal Interaction Model and Runtime for Explainable AI Collaboration1d◆REALM: Identifying Minimal Task Assets for LLM Agents1d◆ThinkJev: One Thought, Every Budget for Calibrated Typed Decisions1d◆Estimating Implicit Expected Log Density Ratios1d◆PAPERBENCHX: Can AI Reproduce Science Across Disciplines?1d◆Apple CEO says the company doesn’t ‘want to ship AI for AI’s sake’8h◆4 days left: How TechCrunch Founder Summit helps you make more useful connections to scale8h◆Judge allows NAACP lawsuit over xAI data center pollution to move forward9h◆OpenAI reportedly lowers funding target for new round14h◆I built an AI Tamagotchi before Meta could14h◆From Local Recovery to Unified Generation: Discovering Triple Set in Knowledge Graphs via Observation-Anchored Latent Diffusion1d◆NeuroBridge: Bio-Inspired Self-Supervised EEG-to-Image Decoding via Cognitive Priors and Bidirectional Semantic Alignment1d◆Long-Term Agent Memory through Complementary Curation and Consolidation1d◆EvoTeam: Multi-Agent Collaboration via Evolving Teams1d◆When More Planning Hurts: Learned Planners for World Models1d◆A Tutorial on Generative Models for Music Audio1d◆Hammering with Vampire in Lean1d◆An Alignment Benchmark for Enterprise Agents on Era by Eon1d◆Sparse Fine-Tuning for Parameter-Efficient Adversarial Training1d◆Wiring Beats Blending: Structure-Aware Compensation for Transformer Downscaling1d◆Human--AI Interactions as First-Class Data: A Formal Interaction Model and Runtime for Explainable AI Collaboration1d◆REALM: Identifying Minimal Task Assets for LLM Agents1d◆ThinkJev: One Thought, Every Budget for Calibrated Typed Decisions1d◆Estimating Implicit Expected Log Density Ratios1d◆PAPERBENCHX: Can AI Reproduce Science Across Disciplines?1d◆
News/PIKA: Expert-Level Synthetic Datasets for Post-Training Alignment from Scratch
arxiv
PublishedApril 11, 2026 at 4:00 AM
—neutral

PIKA: Expert-Level Synthetic Datasets for Post-Training Alignment from Scratch

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

arXiv:2510.06670v2 Announce Type: replace Abstract: High-quality instruction data is critical for LLM alignment, yet existing open-source datasets often lack efficiency, requiring hundreds of thousands of examples to approach proprietary performance. In this work, we find that beyond the widely reco

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
arxivFrom Local Recovery to Unified Generation: Discovering Triple Set in Knowledge Graphs via Observation-Anchored Latent Diffusion1darxivNeuroBridge: Bio-Inspired Self-Supervised EEG-to-Image Decoding via Cognitive Priors and Bidirectional Semantic Alignment1darxivLong-Term Agent Memory through Complementary Curation and Consolidation1darxivEvoTeam: Multi-Agent Collaboration via Evolving Teams1d
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