Are LLMs good at structured outputs? A benchmark for evaluating structured output capabilities in LLMs.
Yu Liu|Duantengchuan Li|Kaili Wang|Zhuoran Xiong|Fobo Shi|Jian Wang|Bing Li|Bo Hang
| Anthology ID: | DBLP:journals/ipm/LiuLWXSWLH24 |
|---|---|
| Year: | 2024 |
| Venue: | Information Processing and Management |
| Pages: | 103809 |
| URL: | https://doi.org/10.1016/J.IPM.2024.103809 |
| DOI: | https://doi.org/10.1016/J.IPM.2024.103809 |
| DBLP: | journals/ipm/LiuLWXSWLH24 |
| BibTeX: |
@article{liu-2024-llms,
author = {Yu Liu and
Duantengchuan Li and
Kaili Wang and
Zhuoran Xiong and
Fobo Shi and
Jian Wang and
Bing Li and
Bo Hang},
title = {{Are LLMs good at structured outputs? A benchmark for evaluating structured output capabilities in LLMs}},
journal = {Information Processing and Management},
volume = {61},
number = {5},
pages = {103809},
year = {2024},
url = {https://doi.org/10.1016/J.IPM.2024.103809},
doi = {https://doi.org/10.1016/J.IPM.2024.103809}
}