arxiv
PublishedMay 28, 2026 at 4:00 AM
—neutral
Probing for Knowledge Attribution in Large Language Models
Publisher summary· verbatim
arXiv:2602.22787v2 Announce Type: replace-cross Abstract: Large language model (LLM) hallucinations, meaning fluent but factually incorrect generations, fall into two types: faithfulness violations, where the model misuses provided context, and factuality violations, where answers reflect errors in
Stay posted· Newsletter
A 5-min weekly brief — top movers, price watch, story of the week.
Discussion
No replies yet. Be first.
Related coverage
More from ARXIV
arxivSFMambaNet: Spectral-Frequency Enhanced Selective State Space Model for Correspondence Pruning8harxivOptical-Guided Neural Collapse for SAR Few-Shot Class Incremental Learning8harxivDynamic Infilling Anchors for Format-Constrained Generation in Diffusion Large Language Models8harxivTemporal Order Matters for Agentic Memory: Segment Trees for Long-Horizon Agents8hThe Bubble Brief
WEEKLYRead AI insights every Tuesday — top movers, new releases, story of the week.
Originally published on arxiv ↗