Mixture of insighTful Experts (MoTE): The Synergy of Reasoning Chains and Expert Mixtures in Self-Alignment
Zhili Liu, Yunhao Gou, Kai Chen, Lanqing Hong, Jiahui Gao, Fei Mi, Yu Zhang, Zhenguo Li, Xin Jiang, Qun Liu, James Kwok. Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2025.
Authors
- Lanqing Hong (ORCID: https://orcid.org/0000-0003-2752-5942)
- Fei Mi (ORCID: https://orcid.org/0000-0001-6358-9922)
- Yu Zhang (ORCID: https://orcid.org/0000-0002-2427-4490)
- Kai Chen (ORCID: https://orcid.org/0000-0002-3930-8294)
- Jiahui Gao (ORCID: https://orcid.org/0000-0002-4244-174X)
- Yunhao Gou (ORCID: https://orcid.org/0000-0002-1352-794X)
- Zhili Liu (ORCID: https://orcid.org/0000-0001-7172-6309)
- James Kwok
- Qun Liu (ORCID: https://orcid.org/0000-0002-6329-3096)
- Xin Jiang (ORCID: https://orcid.org/0009-0009-4911-9815)
- Zhenguo Li (ORCID: https://orcid.org/0000-0002-8492-3069)
Publication Details
- Published
- 2025-01-01
- DOI
- https://doi.org/10.18653/v1/2025.acl-long.151
- Citations
- 1
- Primary Topic
- Semantic Web and Ontologies
- Type
- article
- Field-Weighted Citation Impact
- 2.48