·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
New York lawmakers pass one-year ban on new data centers1h◆The token bill comes due: Inside the industry scramble to manage AI’s runaway costs1h◆The latest AI news we announced in May 20261h◆This AI startup says it can tell if a script will make a hit film2h◆AirTrunk commits $30B to build 5GW of AI data centers in India3h◆The Meta hack shows there’s more to AI security than Mythos7h◆Mira Murati steps back into the spotlight, carefully11h◆SFMambaNet: Spectral-Frequency Enhanced Selective State Space Model for Correspondence Pruning12h◆Optical-Guided Neural Collapse for SAR Few-Shot Class Incremental Learning12h◆Dynamic Infilling Anchors for Format-Constrained Generation in Diffusion Large Language Models12h◆Temporal Order Matters for Agentic Memory: Segment Trees for Long-Horizon Agents12h◆Why Muon Outperforms Adam: A Curvature Perspective12h◆Vision Hopfield Memory Networks12h◆Provably Auditable and Safe LLM Agents from Human-Authored Ontologies12h◆FlexRank: Nested Low-Rank Knowledge Decomposition for Adaptive Model Deployment12h◆Stable Deep Reinforcement Learning via Isotropic Gaussian Representations12h◆HEIST: A Graph Foundation Model for Spatial Transcriptomics and Proteomics Data12h◆q0: Primitives for Hyper-Epoch Pretraining12h◆MLEvolve: A Self-Evolving Framework for Automated Machine Learning Algorithm Discovery12h◆Test-Time Training for Visual Foresight Vision-Language-Action Models12h◆New York lawmakers pass one-year ban on new data centers1h◆The token bill comes due: Inside the industry scramble to manage AI’s runaway costs1h◆The latest AI news we announced in May 20261h◆This AI startup says it can tell if a script will make a hit film2h◆AirTrunk commits $30B to build 5GW of AI data centers in India3h◆The Meta hack shows there’s more to AI security than Mythos7h◆Mira Murati steps back into the spotlight, carefully11h◆SFMambaNet: Spectral-Frequency Enhanced Selective State Space Model for Correspondence Pruning12h◆Optical-Guided Neural Collapse for SAR Few-Shot Class Incremental Learning12h◆Dynamic Infilling Anchors for Format-Constrained Generation in Diffusion Large Language Models12h◆Temporal Order Matters for Agentic Memory: Segment Trees for Long-Horizon Agents12h◆Why Muon Outperforms Adam: A Curvature Perspective12h◆Vision Hopfield Memory Networks12h◆Provably Auditable and Safe LLM Agents from Human-Authored Ontologies12h◆FlexRank: Nested Low-Rank Knowledge Decomposition for Adaptive Model Deployment12h◆Stable Deep Reinforcement Learning via Isotropic Gaussian Representations12h◆HEIST: A Graph Foundation Model for Spatial Transcriptomics and Proteomics Data12h◆q0: Primitives for Hyper-Epoch Pretraining12h◆MLEvolve: A Self-Evolving Framework for Automated Machine Learning Algorithm Discovery12h◆Test-Time Training for Visual Foresight Vision-Language-Action Models12h◆
News/PortBench: A Correlation-Aware, Full-Pipeline Benchmark for LLM-Driven Portfolio Management
arxiv
PublishedMay 28, 2026 at 4:00 AM

PortBench: A Correlation-Aware, Full-Pipeline Benchmark for LLM-Driven Portfolio Management

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

arXiv:2605.27887v1 Announce Type: new Abstract: LLMs have shown strong performance across diverse financial tasks, yet portfolio management (PM), a critical financial decision-making task, remains poorly benchmarked. Existing benchmarks exhibit two main gaps: they ignore cross-asset correlation stru

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 Pruning12harxivOptical-Guided Neural Collapse for SAR Few-Shot Class Incremental Learning12harxivDynamic Infilling Anchors for Format-Constrained Generation in Diffusion Large Language Models12harxivTemporal Order Matters for Agentic Memory: Segment Trees for Long-Horizon Agents12h
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