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Detecting Hallucination in LLMs: Tracing the Topological Signatures of Impaired Context Sharing
arXiv cs.CL — Computation and Language
Factual evidence
What the source reports
Researchers propose using Forman-Ricci curvature on attention graphs to detect LLM hallucinations via internal information-flow analysis.
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- Inclusion basis
- Enterprise AI
- Publisher and source type
- arXiv cs.CL — Computation and Language · RESEARCH
- Published by source
- 21 September 2026
- Collected by OneBench
- 22 Sept 2026, 03:01 UK
Stored source excerpt
arXiv:2609.21096v1 Announce Type: cross Abstract: In this work, we examine the topology of information flow patterns within attention graphs to effectively distinguish hallucinated from non-hallucinated…
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