·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
The token bill comes due: Inside the industry scramble to manage AI’s runaway costs57m◆The latest AI news we announced in May 20261h◆This AI startup says it can tell if a script will make a hit film1h◆AirTrunk commits $30B to build 5GW of AI data centers in India2h◆The Meta hack shows there’s more to AI security than Mythos6h◆Mira Murati steps back into the spotlight, carefully10h◆SFMambaNet: Spectral-Frequency Enhanced Selective State Space Model for Correspondence Pruning11h◆Optical-Guided Neural Collapse for SAR Few-Shot Class Incremental Learning11h◆Dynamic Infilling Anchors for Format-Constrained Generation in Diffusion Large Language Models11h◆Temporal Order Matters for Agentic Memory: Segment Trees for Long-Horizon Agents11h◆Why Muon Outperforms Adam: A Curvature Perspective11h◆Vision Hopfield Memory Networks11h◆Provably Auditable and Safe LLM Agents from Human-Authored Ontologies11h◆FlexRank: Nested Low-Rank Knowledge Decomposition for Adaptive Model Deployment11h◆Stable Deep Reinforcement Learning via Isotropic Gaussian Representations11h◆Toward Scalable and Valid Conditional Independence Testing with Spectral Representations11h◆Harpoon: Generalised Manifold Guidance for Conditional Tabular Diffusion11h◆HEIST: A Graph Foundation Model for Spatial Transcriptomics and Proteomics Data11h◆q0: Primitives for Hyper-Epoch Pretraining11h◆MLEvolve: A Self-Evolving Framework for Automated Machine Learning Algorithm Discovery11h◆The token bill comes due: Inside the industry scramble to manage AI’s runaway costs57m◆The latest AI news we announced in May 20261h◆This AI startup says it can tell if a script will make a hit film1h◆AirTrunk commits $30B to build 5GW of AI data centers in India2h◆The Meta hack shows there’s more to AI security than Mythos6h◆Mira Murati steps back into the spotlight, carefully10h◆SFMambaNet: Spectral-Frequency Enhanced Selective State Space Model for Correspondence Pruning11h◆Optical-Guided Neural Collapse for SAR Few-Shot Class Incremental Learning11h◆Dynamic Infilling Anchors for Format-Constrained Generation in Diffusion Large Language Models11h◆Temporal Order Matters for Agentic Memory: Segment Trees for Long-Horizon Agents11h◆Why Muon Outperforms Adam: A Curvature Perspective11h◆Vision Hopfield Memory Networks11h◆Provably Auditable and Safe LLM Agents from Human-Authored Ontologies11h◆FlexRank: Nested Low-Rank Knowledge Decomposition for Adaptive Model Deployment11h◆Stable Deep Reinforcement Learning via Isotropic Gaussian Representations11h◆Toward Scalable and Valid Conditional Independence Testing with Spectral Representations11h◆Harpoon: Generalised Manifold Guidance for Conditional Tabular Diffusion11h◆HEIST: A Graph Foundation Model for Spatial Transcriptomics and Proteomics Data11h◆q0: Primitives for Hyper-Epoch Pretraining11h◆MLEvolve: A Self-Evolving Framework for Automated Machine Learning Algorithm Discovery11h◆
News/Diversity Matters: Revisiting Test-Time Compute in Vision-Language Models
arxiv
PublishedJune 1, 2026 at 4:00 AM

Diversity Matters: Revisiting Test-Time Compute in Vision-Language Models

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

arXiv:2605.30713v1 Announce Type: new Abstract: Test-time compute (TTC) strategies have emerged as a lightweight approach to boost reasoning in large language models (LLMs). However, their application and benefits for vision-language models (VLMs) remain underexplored. We present a systematic study

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 Pruning11harxivOptical-Guided Neural Collapse for SAR Few-Shot Class Incremental Learning11harxivDynamic Infilling Anchors for Format-Constrained Generation in Diffusion Large Language Models11harxivTemporal Order Matters for Agentic Memory: Segment Trees for Long-Horizon Agents11h
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