@inproceedings{tekin-etal-2024-llm,
title = "{LLM}-{TOPLA}: Efficient {LLM} Ensemble by Maximising Diversity",
author = "Tekin, Selim and
Ilhan, Fatih and
Huang, Tiansheng and
Hu, Sihao and
Liu, Ling",
editor = "Al-Onaizan, Yaser and
Bansal, Mohit and
Chen, Yun-Nung",
booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2024",
month = nov,
year = "2024",
address = "Miami, Florida, USA",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2024.findings-emnlp.698",
pages = "11951--11966",
}
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%0 Conference Proceedings
%T LLM-TOPLA: Efficient LLM Ensemble by Maximising Diversity
%A Tekin, Selim
%A Ilhan, Fatih
%A Huang, Tiansheng
%A Hu, Sihao
%A Liu, Ling
%Y Al-Onaizan, Yaser
%Y Bansal, Mohit
%Y Chen, Yun-Nung
%S Findings of the Association for Computational Linguistics: EMNLP 2024
%D 2024
%8 November
%I Association for Computational Linguistics
%C Miami, Florida, USA
%F tekin-etal-2024-llm
%U https://aclanthology.org/2024.findings-emnlp.698
%P 11951-11966
Markdown (Informal)
[LLM-TOPLA: Efficient LLM Ensemble by Maximising Diversity](https://aclanthology.org/2024.findings-emnlp.698) (Tekin et al., Findings 2024)
ACL
- Selim 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.