·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
How Endava is redesigning software delivery around AI agents-125m◆SFMambaNet: Spectral-Frequency Enhanced Selective State Space Model for Correspondence Pruning5h◆Optical-Guided Neural Collapse for SAR Few-Shot Class Incremental Learning5h◆Dynamic Infilling Anchors for Format-Constrained Generation in Diffusion Large Language Models5h◆Temporal Order Matters for Agentic Memory: Segment Trees for Long-Horizon Agents5h◆Why Muon Outperforms Adam: A Curvature Perspective5h◆Provably Auditable and Safe LLM Agents from Human-Authored Ontologies5h◆Efficient Reasoning on the Edge5h◆MIRAGE: Mobile Agents with Implicit Reasoning and Generative World Models5h◆Inference-Time Vulnerability Beyond Shallow Safety: Alignment Along Generation Trajectories5h◆Beyond Objective Equivalence: Constraint Injection for LLM-Based Optimization Modeling on Vehicle Routing Problems5h◆Formal Semantics for Agentic Tool Protocols: A Process Calculus Approach5h◆Belief-Aware VLM Model for Human-like Reasoning5h◆Binary Spiking Neural Networks as Causal Models5h◆SciIntegrity-Bench: A Benchmark for Evaluating Academic Integrity in AI Scientist Systems5h◆Bad Seeing or Bad Thinking? Rewarding Perception for Multimodal Reasoning5h◆Unlocking Proactivity in Task-Oriented Dialogue5h◆The Illusion of Opting in AI-Mediated Consequential Decisions5h◆SHARP: Sleep-based Hierarchical Accelerated Replay for Long Range Non-Stationary Temporal Pattern Recognition5h◆Subliminal Learning Is Steering Vector Distillation5h◆How Endava is redesigning software delivery around AI agents-125m◆SFMambaNet: Spectral-Frequency Enhanced Selective State Space Model for Correspondence Pruning5h◆Optical-Guided Neural Collapse for SAR Few-Shot Class Incremental Learning5h◆Dynamic Infilling Anchors for Format-Constrained Generation in Diffusion Large Language Models5h◆Temporal Order Matters for Agentic Memory: Segment Trees for Long-Horizon Agents5h◆Why Muon Outperforms Adam: A Curvature Perspective5h◆Provably Auditable and Safe LLM Agents from Human-Authored Ontologies5h◆Efficient Reasoning on the Edge5h◆MIRAGE: Mobile Agents with Implicit Reasoning and Generative World Models5h◆Inference-Time Vulnerability Beyond Shallow Safety: Alignment Along Generation Trajectories5h◆Beyond Objective Equivalence: Constraint Injection for LLM-Based Optimization Modeling on Vehicle Routing Problems5h◆Formal Semantics for Agentic Tool Protocols: A Process Calculus Approach5h◆Belief-Aware VLM Model for Human-like Reasoning5h◆Binary Spiking Neural Networks as Causal Models5h◆SciIntegrity-Bench: A Benchmark for Evaluating Academic Integrity in AI Scientist Systems5h◆Bad Seeing or Bad Thinking? Rewarding Perception for Multimodal Reasoning5h◆Unlocking Proactivity in Task-Oriented Dialogue5h◆The Illusion of Opting in AI-Mediated Consequential Decisions5h◆SHARP: Sleep-based Hierarchical Accelerated Replay for Long Range Non-Stationary Temporal Pattern Recognition5h◆Subliminal Learning Is Steering Vector Distillation5h◆
News/LoopMoE: Unifying Iterative Computation with Mixture-of-Experts for Language Modeling
arxiv
PublishedJune 4, 2026 at 4:00 AM

LoopMoE: Unifying Iterative Computation with Mixture-of-Experts for Language Modeling

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

arXiv:2606.04438v1 Announce Type: cross Abstract: Mixture-of-Experts (MoE) and looped architectures scale models along two orthogonal axes, namely parameter capacity and effective depth. However, mainstream looped architectures rely on dense backbones that couple parameter count with per-token FLOPs

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
arxivSFMambaNet: Spectral-Frequency Enhanced Selective State Space Model for Correspondence Pruning5harxivOptical-Guided Neural Collapse for SAR Few-Shot Class Incremental Learning5harxivDynamic Infilling Anchors for Format-Constrained Generation in Diffusion Large Language Models5harxivTemporal Order Matters for Agentic Memory: Segment Trees for Long-Horizon Agents5h
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