·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
Welcome NVIDIA Cosmos 3: The First Open Omni-model for Physical AI Reasoning and Action4h◆Physically Viable World Models: A Case for Query-Conditioned Embodied AI5h◆Discovering a Zeta Map Algorithm on Dyck Paths via Mechanistic Interpretability5h◆Diagnosing Failure Modes of Shared-State Collaboration in Resource-Constrained Visual Agents5h◆Answer-Set-Programming-based Abstractions for Reinforcement Learning5h◆TRINE: A Token-Aware, Runtime-Adaptive FPGA Inference Engine for Multimodal AI5h◆Prior Availability in Industrial Visual Sim-to-Real: A Review of CAD-Guided and CAD-Unavailable Regimes5h◆BOKBO (Best of K Bad Options): Calibrated Abstention for VLA Policies5h◆Universal Decision Learners5h◆Algorithmic Recourse of In-Context Learning for Tabular Data5h◆Graph Machine Learning in the Era of Large Language Models (LLMs)5h◆NGDBench: Towards Neural Graph Data Management5h◆Autoregressive Visual Generation Needs a Prologue5h◆Learning Randomized Reductions5h◆Quantifying the Uncertainty of Foundation Models with Singular Value Ensembles5h◆dgMARK: Decoding-Guided Watermarking for Diffusion Language Models5h◆End-to-End Compression for Tabular Foundation Models5h◆The Fundamental Limits of Fraud Detection in Card Payment Networks5h◆Free energy Estimation on Any State Space5h◆View Space: Learning Representation across Arbitrary Graphs5h◆Welcome NVIDIA Cosmos 3: The First Open Omni-model for Physical AI Reasoning and Action4h◆Physically Viable World Models: A Case for Query-Conditioned Embodied AI5h◆Discovering a Zeta Map Algorithm on Dyck Paths via Mechanistic Interpretability5h◆Diagnosing Failure Modes of Shared-State Collaboration in Resource-Constrained Visual Agents5h◆Answer-Set-Programming-based Abstractions for Reinforcement Learning5h◆TRINE: A Token-Aware, Runtime-Adaptive FPGA Inference Engine for Multimodal AI5h◆Prior Availability in Industrial Visual Sim-to-Real: A Review of CAD-Guided and CAD-Unavailable Regimes5h◆BOKBO (Best of K Bad Options): Calibrated Abstention for VLA Policies5h◆Universal Decision Learners5h◆Algorithmic Recourse of In-Context Learning for Tabular Data5h◆Graph Machine Learning in the Era of Large Language Models (LLMs)5h◆NGDBench: Towards Neural Graph Data Management5h◆Autoregressive Visual Generation Needs a Prologue5h◆Learning Randomized Reductions5h◆Quantifying the Uncertainty of Foundation Models with Singular Value Ensembles5h◆dgMARK: Decoding-Guided Watermarking for Diffusion Language Models5h◆End-to-End Compression for Tabular Foundation Models5h◆The Fundamental Limits of Fraud Detection in Card Payment Networks5h◆Free energy Estimation on Any State Space5h◆View Space: Learning Representation across Arbitrary Graphs5h◆
News/Innovation: An Almost Characterization of Hallucination
arxiv
PublishedMay 27, 2026 at 4:00 AM

Innovation: An Almost Characterization of Hallucination

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

arXiv:2605.26808v1 Announce Type: cross Abstract: Hallucination is a central limitation of large language models (LLMs), and substantial effort has been devoted to understanding and mitigating it. Towards this, Kalai and Vempala (STOC 2024) introduced a probabilistic framework formalizing calibratio

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
arxivPhysically Viable World Models: A Case for Query-Conditioned Embodied AI5harxivDiscovering a Zeta Map Algorithm on Dyck Paths via Mechanistic Interpretability5harxivDiagnosing Failure Modes of Shared-State Collaboration in Resource-Constrained Visual Agents5harxivAnswer-Set-Programming-based Abstractions for Reinforcement Learning5h
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