·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
Apple’s Siri revamp could include auto-deleting chats5h◆Why trust is a big question at the Elon Musk-OpenAI trial6h◆Revamped Siri will reportedly offer auto-deleting chats7h◆University of Arizona students boo Eric Schmidt’s AI cheerleading during commencement8h◆If you’re giving a commencement speech in 2026, maybe don’t mention AI9h◆TechCrunch Mobility: The AI skills arms race is coming for automotive10h◆Chatbots at the drive-thru are just the beginning14h◆The haves and have nots of the AI gold rush1d◆Research repository ArXiv will ban authors for a year if they let AI do all the work1d◆Sony tries to explain that its AI Camera Assistant doesn’t suck1d◆OpenAI co-founder Greg Brockman takes charge of product strategy1d◆Quotient-Space Diffusion Models1d◆Multi-Scale Dequant: Eliminating Dequantization Bottleneck via Activation Decomposition for Efficient LLM Inference1d◆Case-Based Calibration of Adaptive Reasoning and Execution for LLM Tool Use1d◆OpenDeepThink: Parallel Reasoning via Bradley--Terry Aggregation1d◆TiTok: Transfer Token-level Knowledge via Contrastive Excess to Transplant LoRA1d◆Bad Seeing or Bad Thinking? Rewarding Perception for Vision-Language Reasoning1d◆COREKG: Coreset-Guided Personalized Summarization of Knowledge Graphs1d◆From Sycophantic Consensus to Pluralistic Repair: Why AI Alignment Must Surface Disagreement1d◆GraphFlow: An Architecture for Formally Verifiable Visual Workflows Enabling Reliable Agentic AI Automation1d◆Apple’s Siri revamp could include auto-deleting chats5h◆Why trust is a big question at the Elon Musk-OpenAI trial6h◆Revamped Siri will reportedly offer auto-deleting chats7h◆University of Arizona students boo Eric Schmidt’s AI cheerleading during commencement8h◆If you’re giving a commencement speech in 2026, maybe don’t mention AI9h◆TechCrunch Mobility: The AI skills arms race is coming for automotive10h◆Chatbots at the drive-thru are just the beginning14h◆The haves and have nots of the AI gold rush1d◆Research repository ArXiv will ban authors for a year if they let AI do all the work1d◆Sony tries to explain that its AI Camera Assistant doesn’t suck1d◆OpenAI co-founder Greg Brockman takes charge of product strategy1d◆Quotient-Space Diffusion Models1d◆Multi-Scale Dequant: Eliminating Dequantization Bottleneck via Activation Decomposition for Efficient LLM Inference1d◆Case-Based Calibration of Adaptive Reasoning and Execution for LLM Tool Use1d◆OpenDeepThink: Parallel Reasoning via Bradley--Terry Aggregation1d◆TiTok: Transfer Token-level Knowledge via Contrastive Excess to Transplant LoRA1d◆Bad Seeing or Bad Thinking? Rewarding Perception for Vision-Language Reasoning1d◆COREKG: Coreset-Guided Personalized Summarization of Knowledge Graphs1d◆From Sycophantic Consensus to Pluralistic Repair: Why AI Alignment Must Surface Disagreement1d◆GraphFlow: An Architecture for Formally Verifiable Visual Workflows Enabling Reliable Agentic AI Automation1d◆
News/Path-Lock Expert: Separating Reasoning Mode in Hybrid Thinking via Architecture-Level Separation
arxiv
PublishedMay 7, 2026 at 4:00 AM
▲bullish

Path-Lock Expert: Separating Reasoning Mode in Hybrid Thinking via Architecture-Level Separation

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

arXiv:2604.27201v2 Announce Type: replace Abstract: Hybrid-thinking language models expose explicit think and no-think modes, but current designs do not separate them cleanly. Even in no-think mode, models often emit long and self-reflective responses, causing reasoning leakage. Existing work reduce

Stay posted· Newsletter

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

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

Discussion
Mentioned models
02
  • 01
    Path-Lock Expert (PLE)
  • 02
    Qwen3-4B
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
03
#language-models#architecture#hybrid-thinking

No replies yet. Be first.

Mentioned models
02
  • 01
    Path-Lock Expert (PLE)
  • 02
    Qwen3-4B
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
03
#language-models#architecture#hybrid-thinking

Related coverage

More from ARXIV
arxivQuotient-Space Diffusion Models1darxivMulti-Scale Dequant: Eliminating Dequantization Bottleneck via Activation Decomposition for Efficient LLM Inference1darxivCase-Based Calibration of Adaptive Reasoning and Execution for LLM Tool Use1darxivOpenDeepThink: Parallel Reasoning via Bradley--Terry Aggregation1d
The Bubble Brief
WEEKLY

Read language-models insights every Tuesday — top movers, new releases, story of the week.

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

Originally published on arxiv ↗
HomeModelsNews