by ahnjaewoo · Agent Tool · ★ 21
TimeChara This is the official repository of our ACL 2024 Findings paper: TimeChara: Evaluating Point-in-Time Character Hallucination of Role-Playing Large Language Models Please cite our work if you found the resources in this repository useful: For a brief summary of our paper, please see this webpage. TimeChara You can load TimeChara from the HuggingFace hub as the following: Details on TimeChara (1) Validation set (600 examples): Randomly sampled 600 examples from the test set. (2) Test set (10,895 examples): All datasets, including the validation set.
| Stars | 21 |
| Forks | 1 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 61.8860404006679/100 |
| Last Updated | 2024-12-20 |
| Created | 2024-05-26 |
| Platforms | python |
| Est. Tokens | ~58k |
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timechara is 🧙🏻 Code and benchmark for our Findings of ACL 2024 paper - "TimeChara: Evaluating Point-in-Time Character Hallucination of Role-Playing Large Language Models". It is categorized as a Agent Tool with 21 GitHub stars.
timechara is primarily written in Python. It covers topics such as acl2024, benchmark, dataset.
You can find installation instructions and usage details in the timechara GitHub repository at github.com/ahnjaewoo/timechara. The project has 21 stars and 1 forks, indicating an active community.
timechara is released under the MIT license, making it free to use and modify according to the license terms.