LLM-TOPLA: Efficient LLM Ensemble by Maximising Diversity
Selim Furkan Tekin, Fatih Ilhan, Tiansheng Huang, Sihao Hu, Ling Liu
- Anthology ID:
- 2024.findings-emnlp.698
- Volume:
- Findings of the Association for Computational Linguistics: EMNLP 2024
- Month:
- November
- Year:
- 2024
- Address:
- Miami, Florida, USA
- Editors:
- Yaser Al-Onaizan, Mohit Bansal, Yun-Nung Chen
- Venue:
- Findings
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 11951–11966
- Language:
- URL:
- https://preview.aclanthology.org/fix-sig-urls/2024.findings-emnlp.698/
- DOI:
- 10.18653/v1/2024.findings-emnlp.698
- Cite (ACL):
- Selim Furkan Tekin, Fatih Ilhan, Tiansheng Huang, Sihao Hu, and Ling Liu. 2024. LLM-TOPLA: Efficient LLM Ensemble by Maximising Diversity. In Findings of the Association for Computational Linguistics: EMNLP 2024, pages 11951–11966, Miami, Florida, USA. Association for Computational Linguistics.
- Cite (Informal):
- LLM-TOPLA: Efficient LLM Ensemble by Maximising Diversity (Tekin et al., Findings 2024)
- PDF:
- https://preview.aclanthology.org/fix-sig-urls/2024.findings-emnlp.698.pdf