| # ACLUE | |
| ### Paper | |
| Can Large Language Model Comprehend Ancient Chinese? A Preliminary Test on ACLUE | |
| https://arxiv.org/abs/2310.09550 | |
| The Ancient Chinese Language Understanding Evaluation (ACLUE) is an evaluation benchmark focused on ancient Chinese language comprehension. It aims to assess the performance of large-scale language models on understanding ancient Chinese. The benchmark comprises 15 tasks spanning various domains, including lexical, syntactic, semantic, inference, and knowledge. ACLUE's tasks are derived from a combination of manually curated questions from publicly available resources, and automatically | |
| generated questions from classical Chinese language corpora. The range of questions span from the Xia dynasty (2070 BCE) to the Ming dynasty (1368 CE). ACLUE adopts a multiple-choice question format for all tasks. | |
| Homepage: https://github.com/isen-zhang/ACLUE | |
| ### Citation | |
| ```bibtex | |
| @inproceedings{zhang-li-2023-large, | |
| title = "Can Large Langauge Model Comprehend {A}ncient {C}hinese? A Preliminary Test on {ACLUE}", | |
| author = "Zhang, Yixuan and Li, Haonan", | |
| booktitle = "Proceedings of the Ancient Language Processing Workshop", | |
| month = sep, | |
| year = "2023", | |
| address = "Varna, Bulgaria", | |
| publisher = "INCOMA Ltd., Shoumen, Bulgaria", | |
| url = "https://aclanthology.org/2023.alp-1.9", | |
| pages = "80--87" | |
| } | |
| ``` | |
| ### Groups and Tasks | |
| #### Groups | |
| - `aclue`: All 15 subjects of the ACLUE dataset, evaluated following the methodology in CMMLU's original implementation. | |
| #### Tasks | |
| The following tasks evaluate subjects in the ACLUE dataset using loglikelihood-based multiple-choice scoring: | |
| - `aclue_{subject_english}` | |
| ### Checklist | |
| * [x] Is the task an existing benchmark in the literature? | |
| * [x] Have you referenced the original paper that introduced the task? | |
| * [x] If yes, does the original paper provide a reference implementation? | |
| * [x] Yes, original implementation contributed by author of the benchmark | |
| If other tasks on this dataset are already supported: | |
| * [x] Is the "Main" variant of this task clearly denoted? | |
| * [x] Have you provided a short sentence in a README on what each new variant adds / evaluates? | |
| * [x] Have you noted which, if any, published evaluation setups are matched by this variant? | |