·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
SPINE: Bridging the Cyber-Physical Gap with Agentic AI18m◆AI-Native Insurance for Agentic AI: Pricing, Underwriting, and End-to-End Automation18m◆Cost-Optimal Foundation Model Deployment Portfolio for Transportation Management18m◆Harness Handbook: Making Evolving Agent Harnesses Readable,Navigable, and Editable18m◆Theory-Level Autoformalization: From Isolated Statements to Unified Formal Knowledge Bases18m◆EZSMT Version 3, Matured18m◆Set-shifting Behavioral Test for Harnessed Agents18m◆LAPO: Leave-One-Turn Attribution for Self-Generated Process Rewards in Multi-Turn Search Reasoning18m◆How Far Can Root Cause Analysis Go on Real-World Telemetry Data?18m◆Multi-Agent Collaborative Reasoning with Tool-Augmented Evidence for Urban Region Profiling18m◆AI advice suppresses people's willingness to say "I don't know", even when the advice is wrong and accuracy is incentivized18m◆SAFETY SENTRY: Context-Aware Human Intervention via EXECUTE-ASK-REFUSE Routing18m◆Automatic Ordinary Differential Equations Discovery For Biological Systems Using Large Language Model Powered Agentic System18m◆STOCKTAKE: Measuring the Gap Between Perception and Action in LLM Agents with a Fair Oracle18m◆UESF-Bench: Benchmarking and Probing for Unified Embodied Seeking and Following18m◆Explaining Reinforcement Learning Agents via Inductive Logic Programming18m◆When Bots Join the Team: Bot Adoption and the Institutional Fabric of Open-Source Software Projects18m◆AgentCompass: A Unified Evaluation Infrastructure for Agent Capabilities18m◆CAVA: Canonical Action Verification and Attestation for Runtime Governance of Agentic AI Systems18m◆Experience Memory Graph: One-Shot Error Correction for Agents18m◆SPINE: Bridging the Cyber-Physical Gap with Agentic AI18m◆AI-Native Insurance for Agentic AI: Pricing, Underwriting, and End-to-End Automation18m◆Cost-Optimal Foundation Model Deployment Portfolio for Transportation Management18m◆Harness Handbook: Making Evolving Agent Harnesses Readable,Navigable, and Editable18m◆Theory-Level Autoformalization: From Isolated Statements to Unified Formal Knowledge Bases18m◆EZSMT Version 3, Matured18m◆Set-shifting Behavioral Test for Harnessed Agents18m◆LAPO: Leave-One-Turn Attribution for Self-Generated Process Rewards in Multi-Turn Search Reasoning18m◆How Far Can Root Cause Analysis Go on Real-World Telemetry Data?18m◆Multi-Agent Collaborative Reasoning with Tool-Augmented Evidence for Urban Region Profiling18m◆AI advice suppresses people's willingness to say "I don't know", even when the advice is wrong and accuracy is incentivized18m◆SAFETY SENTRY: Context-Aware Human Intervention via EXECUTE-ASK-REFUSE Routing18m◆Automatic Ordinary Differential Equations Discovery For Biological Systems Using Large Language Model Powered Agentic System18m◆STOCKTAKE: Measuring the Gap Between Perception and Action in LLM Agents with a Fair Oracle18m◆UESF-Bench: Benchmarking and Probing for Unified Embodied Seeking and Following18m◆Explaining Reinforcement Learning Agents via Inductive Logic Programming18m◆When Bots Join the Team: Bot Adoption and the Institutional Fabric of Open-Source Software Projects18m◆AgentCompass: A Unified Evaluation Infrastructure for Agent Capabilities18m◆CAVA: Canonical Action Verification and Attestation for Runtime Governance of Agentic AI Systems18m◆Experience Memory Graph: One-Shot Error Correction for Agents18m◆
News/Natural Ungrokking: Asymmetric Control of Which Rules Survive Pretraining
arxiv
PublishedJune 25, 2026 at 4:00 AM
—neutral

Natural Ungrokking: Asymmetric Control of Which Rules Survive Pretraining

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

arXiv:2606.26050v1 Announce Type: cross Abstract: Midway through an ordinary pretraining run, a small language model learns the pronoun-gender rule: cued with a girl's name ("Sue cried because"), it resolves the next pronoun to she, generalizing to held-out probes (0.94 by step 925). By step 3,500 t

Stay posted· Newsletter

A 5-min weekly brief — top movers, price watch, story of the week.

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

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
arxivSPINE: Bridging the Cyber-Physical Gap with Agentic AI18marxivAI-Native Insurance for Agentic AI: Pricing, Underwriting, and End-to-End Automation18marxivCost-Optimal Foundation Model Deployment Portfolio for Transportation Management18marxivHarness Handbook: Making Evolving Agent Harnesses Readable,Navigable, and Editable18m
The Bubble Brief
WEEKLY

Read AI insights every Tuesday — top movers, new releases, story of the week.

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

Originally published on arxiv ↗
HomeModelsNews