| --- |
| language: |
| - en |
| license: apache-2.0 |
| task_categories: |
| - text-generation |
| pretty_name: BeliefTrack |
| configs: |
| - config_name: task_a_7b |
| data_files: |
| - split: train |
| path: task_a_7b/train.json |
| - split: test |
| path: task_a_7b/test.json |
| - config_name: task_a_9b |
| data_files: |
| - split: train |
| path: task_a_9b/train.json |
| - split: test |
| path: task_a_9b/test.json |
| - config_name: task_b_7b |
| data_files: |
| - split: train |
| path: task_b_7b/train.json |
| - split: test |
| path: task_b_7b/test.json |
| - config_name: task_b_9b |
| data_files: |
| - split: train |
| path: task_b_9b/train.json |
| - split: test |
| path: task_b_9b/test.json |
| --- |
| |
| # BeliefTrack |
|
|
| [📄 arXiv](https://arxiv.org/abs/2605.30219) • [🤗 HFPaper](https://huggingface.co/papers/2605.30219) • [🤗 HF Collection](https://huggingface.co/collections/zjunlp/contextualbeliefmanagement) |
|
|
| BeliefTrack is a closed-world benchmark for **Contextual Belief Management (CBM)** in multi-turn language model interactions. Each example asks a model to maintain the set of hypotheses that remain consistent with formal evidence. |
|
|
| ## Citation |
|
|
| ```bibtex |
| @article{xu2026whenshouldmodelschange, |
| title={When Should Models Change Their Minds? Contextual Belief Management in Large Language Models}, |
| author={Xu, Haoming and Xu, Weihong and Li, Zongrui and Wang, Mengru and Yao, Yunzhi and Wu, Chiyu and Shang, Jin and Gong, Yu and Deng, Shumin}, |
| journal={arXiv preprint arXiv:2605.30219}, |
| year={2026} |
| } |
| ``` |
|
|
