DRE: An effective dual-refined method for integrating small and large language models in open-domain dialogue evaluation.
- DOI
- 10.1016/j.neunet.2026.109574
- Published
- 2026 Aug 31
- Container
- Neural networks : the official journal of the International Neural Network Society
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.neunet.2026.109574,
title = {DRE: An effective dual-refined method for integrating small and large language models in open-domain dialogue evaluation.},
author = {Zhao K and Yang B and Tang C and Dai S and Tang H and Lin C and Zhan L},
year = {2026},
journal = {Neural networks : the official journal of the International Neural Network Society},
doi = {10.1016/j.neunet.2026.109574},
url = {https://doi.org/10.1016/j.neunet.2026.109574}
}RIS
TY - JOUR TI - DRE: An effective dual-refined method for integrating small and large language models in open-domain dialogue evaluation. AU - Zhao K AU - Yang B AU - Tang C AU - Dai S AU - Tang H AU - Lin C AU - Zhan L PY - 2026 JO - Neural networks : the official journal of the International Neural Network Society DO - 10.1016/j.neunet.2026.109574 UR - https://doi.org/10.1016/j.neunet.2026.109574 ER -
APA
K, Z., B, Y., C, T., S, D., H, T., C, L., & L, Z. (2026). DRE: An effective dual-refined method for integrating small and large language models in open-domain dialogue evaluation.. Neural networks : the official journal of the International Neural Network Society. https://doi.org/10.1016/j.neunet.2026.109574
Source records
- pubmed · retrieved 2026-09-25T19:37:22.005Z