HalluciGuard-eye: knowledge graph-enhanced retrieval-augmented generation for hallucination detection and mitigation in ophthalmic multimodal large language models.
- DOI
- 10.3389/fendo.2026.1976190
- Published
- 2026
- Container
- Frontiers in endocrinology
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3389/fendo.2026.1976190,
title = {HalluciGuard-eye: knowledge graph-enhanced retrieval-augmented generation for hallucination detection and mitigation in ophthalmic multimodal large language models.},
author = {Wu G and Ai C and Wu W},
year = {2026},
journal = {Frontiers in endocrinology},
doi = {10.3389/fendo.2026.1976190},
url = {https://doi.org/10.3389/fendo.2026.1976190}
}RIS
TY - JOUR TI - HalluciGuard-eye: knowledge graph-enhanced retrieval-augmented generation for hallucination detection and mitigation in ophthalmic multimodal large language models. AU - Wu G AU - Ai C AU - Wu W PY - 2026 JO - Frontiers in endocrinology DO - 10.3389/fendo.2026.1976190 UR - https://doi.org/10.3389/fendo.2026.1976190 ER -
APA
G, W., C, A., & W, W. (2026). HalluciGuard-eye: knowledge graph-enhanced retrieval-augmented generation for hallucination detection and mitigation in ophthalmic multimodal large language models.. Frontiers in endocrinology. https://doi.org/10.3389/fendo.2026.1976190
Source records
- pubmed · retrieved 2026-11-10T12:36:19.742Z