·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
Bringing Value Models Back: Generative Critics for Value Modeling in LLM Reinforcement Learning10h◆Subagents vs Agent Skills: Executing Reusable Knowledge for Long-Horizon Agentic Tasks10h◆Distribution-Consistent Inference for Dynamic Sparse Mixture-of-Experts10h◆In RAG We Trust? Measuring Robustness of Retrieval-Augmented Generation Under Document Poisoning10h◆FrontierChallenge: Evaluating Scientific Workflow Completion10h◆IBIB: A Protocol for Measuring Enterprise AI Systems by Serving Route, Not Model Identifier10h◆AgenticGen: Reward-Guided Agentic Video Generation for Advertising10h◆Strangers to Themselves: What Language Models Say About Themselves Is Generic10h◆Omni Interaction Agent Technical Report10h◆CoGReV: A Confidence-Gated Post-Hoc Non-Monotonic Belief Revision Framework for Phishing Website Classification10h◆Bit-Flip Attacks on Vision-Language-Action Models: Action-Decoding Architecture Shapes the Vulnerability10h◆Can Foundation Models Moderate Online Content? Evaluating Instruction- vs. Example-Driven Policy Operationalization10h◆RiLM: Parameter-Efficient Language Modeling via Geodesic Decoding10h◆Tracing Computation Density in LLMs10h◆Cultural Binding Heads in Language Models10h◆Direct Diversity Optimization for Diverse Successful Trajectories in Preference Post-Training10h◆Left-Branching Transformers Excel at Right-Branching Languages: Data Shapes Word Order Preferences in Language Models10h◆Palmyra x6 Technical Report: An Agentic, Tool-Use Model Post-Trained via Anchored Supervised Fine-Tuning10h◆'Ghaib in Translation' aka Unseen Harm: Measuring Cross-Script Safety Inconsistency with 'Missed-in-Urdu' Scores in LLM Hate Speech Detection10h◆DexterSQL: Deep Schema Exploration and Rule-based Correction for Text-to-SQL Generation10h◆Bringing Value Models Back: Generative Critics for Value Modeling in LLM Reinforcement Learning10h◆Subagents vs Agent Skills: Executing Reusable Knowledge for Long-Horizon Agentic Tasks10h◆Distribution-Consistent Inference for Dynamic Sparse Mixture-of-Experts10h◆In RAG We Trust? Measuring Robustness of Retrieval-Augmented Generation Under Document Poisoning10h◆FrontierChallenge: Evaluating Scientific Workflow Completion10h◆IBIB: A Protocol for Measuring Enterprise AI Systems by Serving Route, Not Model Identifier10h◆AgenticGen: Reward-Guided Agentic Video Generation for Advertising10h◆Strangers to Themselves: What Language Models Say About Themselves Is Generic10h◆Omni Interaction Agent Technical Report10h◆CoGReV: A Confidence-Gated Post-Hoc Non-Monotonic Belief Revision Framework for Phishing Website Classification10h◆Bit-Flip Attacks on Vision-Language-Action Models: Action-Decoding Architecture Shapes the Vulnerability10h◆Can Foundation Models Moderate Online Content? Evaluating Instruction- vs. Example-Driven Policy Operationalization10h◆RiLM: Parameter-Efficient Language Modeling via Geodesic Decoding10h◆Tracing Computation Density in LLMs10h◆Cultural Binding Heads in Language Models10h◆Direct Diversity Optimization for Diverse Successful Trajectories in Preference Post-Training10h◆Left-Branching Transformers Excel at Right-Branching Languages: Data Shapes Word Order Preferences in Language Models10h◆Palmyra x6 Technical Report: An Agentic, Tool-Use Model Post-Trained via Anchored Supervised Fine-Tuning10h◆'Ghaib in Translation' aka Unseen Harm: Measuring Cross-Script Safety Inconsistency with 'Missed-in-Urdu' Scores in LLM Hate Speech Detection10h◆DexterSQL: Deep Schema Exploration and Rule-based Correction for Text-to-SQL Generation10h◆
News/Accelerating Eigenvalue Dataset Generation via Chebyshev Subspace Filter
arxiv
PublishedApril 29, 2026 at 4:00 AM
▲bullish

Accelerating Eigenvalue Dataset Generation via Chebyshev Subspace Filter

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

arXiv:2510.23215v2 Announce Type: replace-cross Abstract: Eigenvalue problems are among the most important topics in many scientific disciplines. With the recent surge and development of machine learning, neural eigenvalue methods have attracted significant attention as a forward pass of inference r

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 →
Tags
04
#machine-learning#eigenvalue-problems#numerical-analysis#optimization

No replies yet. Be first.

Source
↗
arxiv
Read original ↗All from arxiv →
Tags
04
#machine-learning#eigenvalue-problems#numerical-analysis#optimization

Related coverage

More from ARXIV
arxivBringing Value Models Back: Generative Critics for Value Modeling in LLM Reinforcement Learning10harxivSubagents vs Agent Skills: Executing Reusable Knowledge for Long-Horizon Agentic Tasks10harxivDistribution-Consistent Inference for Dynamic Sparse Mixture-of-Experts10harxivIn RAG We Trust? Measuring Robustness of Retrieval-Augmented Generation Under Document Poisoning10h
The Bubble Brief
WEEKLY

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

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

Originally published on arxiv ↗
HomeModelsNews