·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
Lorde says Ray-Ban Meta AI glasses are ‘not sexy’2h◆Apple’s failed self-driving car program left a legacy of powerful AI chips6h◆The fight against AI data centers is just beginning11h◆OpenAI bets on families as ChatGPT goes deeper into households1d◆Svarna: An Open Corpus Workbench for Modern Greek1d◆PLURAL: A Global Dataset for Value Alignment1d◆Validating LLMs in social science: Epistemic threats and emerging norms1d◆How Do I Know What to Say Next? Barenholtz's Autogenerative Theory as an Enrichment of Harrisean Integrationism1d◆WebSwarm: Recursive Multi-Agent Orchestration for Deep-and-Wide Web Search1d◆Temporal Preference Concepts and their Functions in a Large Language Model1d◆UniClawBench: A Universal Benchmark for Proactive Agents on Real-World Tasks1d◆When Synthetic Speech Is All You Have: Better Call GRPO1d◆ParamMute: Suppressing Knowledge-Critical FFNs for Faithful Retrieval-Augmented Generation1d◆Towards Isolated Interventions via Almost Orthogonal Features in Language Models1d◆MASTE: A Multi-Agent Pipeline for Zero-Shot Aspect Sentiment Triplet Extraction1d◆Peer-Predictive Self-Training for Language Model Reasoning1d◆DeepTutor: Towards Agentic Personalized Tutoring1d◆COBART: Controlled, Optimized, Bidirectional and Auto-Regressive Transformer for Ad Headline Generation1d◆Hallucination Self-Play: Bootstrapping Reinforced Detector via Evolved Generator1d◆CausalDS: Benchmarking Causal Reasoning in Data-Science Agents1d◆Lorde says Ray-Ban Meta AI glasses are ‘not sexy’2h◆Apple’s failed self-driving car program left a legacy of powerful AI chips6h◆The fight against AI data centers is just beginning11h◆OpenAI bets on families as ChatGPT goes deeper into households1d◆Svarna: An Open Corpus Workbench for Modern Greek1d◆PLURAL: A Global Dataset for Value Alignment1d◆Validating LLMs in social science: Epistemic threats and emerging norms1d◆How Do I Know What to Say Next? Barenholtz's Autogenerative Theory as an Enrichment of Harrisean Integrationism1d◆WebSwarm: Recursive Multi-Agent Orchestration for Deep-and-Wide Web Search1d◆Temporal Preference Concepts and their Functions in a Large Language Model1d◆UniClawBench: A Universal Benchmark for Proactive Agents on Real-World Tasks1d◆When Synthetic Speech Is All You Have: Better Call GRPO1d◆ParamMute: Suppressing Knowledge-Critical FFNs for Faithful Retrieval-Augmented Generation1d◆Towards Isolated Interventions via Almost Orthogonal Features in Language Models1d◆MASTE: A Multi-Agent Pipeline for Zero-Shot Aspect Sentiment Triplet Extraction1d◆Peer-Predictive Self-Training for Language Model Reasoning1d◆DeepTutor: Towards Agentic Personalized Tutoring1d◆COBART: Controlled, Optimized, Bidirectional and Auto-Regressive Transformer for Ad Headline Generation1d◆Hallucination Self-Play: Bootstrapping Reinforced Detector via Evolved Generator1d◆CausalDS: Benchmarking Causal Reasoning in Data-Science Agents1d◆
News/Flux Attention: Context-Aware Hybrid Attention for Efficient LLMs Inference
arxiv
PublishedApril 11, 2026 at 4:00 AM
—neutral

Flux Attention: Context-Aware Hybrid Attention for Efficient LLMs Inference

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

arXiv:2604.07394v1 Announce Type: cross Abstract: The quadratic computational complexity of standard attention mechanisms presents a severe scalability bottleneck for LLMs in long-context scenarios. While hybrid attention mechanisms combining Full Attention (FA) and Sparse Attention (SA) offer a pot

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
arxivSvarna: An Open Corpus Workbench for Modern Greek1darxivPLURAL: A Global Dataset for Value Alignment1darxivValidating LLMs in social science: Epistemic threats and emerging norms1darxivHow Do I Know What to Say Next? Barenholtz's Autogenerative Theory as an Enrichment of Harrisean Integrationism1d
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