Efficient and Effective Internal Memory Retrieval for LLM-Based Healthcare Prediction
- DOI
- 10.18653/v1/2026.findings-acl.1788
- Published
- 2026
- Container
- Findings of the Association for Computational Linguistics: ACL 2026
- Publisher
- Association for Computational Linguistics
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.18653/v1/2026.findings-acl.1788,
title = {Efficient and Effective Internal Memory Retrieval for LLM-Based Healthcare Prediction},
author = {Mingchen Li and Jiatan Huang and Zonghai Yao and Hong yu},
year = {2026},
journal = {Findings of the Association for Computational Linguistics: ACL 2026},
doi = {10.18653/v1/2026.findings-acl.1788},
url = {https://doi.org/10.18653/v1/2026.findings-acl.1788}
}RIS
TY - JOUR TI - Efficient and Effective Internal Memory Retrieval for LLM-Based Healthcare Prediction AU - Mingchen Li AU - Jiatan Huang AU - Zonghai Yao AU - Hong yu PY - 2026 JO - Findings of the Association for Computational Linguistics: ACL 2026 DO - 10.18653/v1/2026.findings-acl.1788 UR - https://doi.org/10.18653/v1/2026.findings-acl.1788 ER -
APA
Li, M., Huang, J., Yao, Z., & yu, H. (2026). Efficient and Effective Internal Memory Retrieval for LLM-Based Healthcare Prediction. Findings of the Association for Computational Linguistics: ACL 2026. https://doi.org/10.18653/v1/2026.findings-acl.1788
Source records
- crossref · retrieved 2026-09-26T06:17:38.129Z