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- README.md +24 -11
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.gitattributes
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README.md
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- config_name: task_a_7b
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data_files:
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- split: train
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path: task_a_7b/train.
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path: task_a_7b/test.
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- config_name: task_a_9b
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data_files:
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path: task_a_9b/train.
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path: task_a_9b/test.
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data_files:
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path: task_b_7b/train.
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data_files:
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---
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# BeliefTrack
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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.
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## Configurations
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```python
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from datasets import load_dataset
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ds = load_dataset("YOUR_ORG/BeliefTrack", "
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print(ds["train"][0])
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```
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ds = load_dataset(
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"json",
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data_files={
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"train": "
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"test": "
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},
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)
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```
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}
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}
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```
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data_files:
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data_files:
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path: task_a_9b/train.json
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path: task_a_9b/test.json
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data_files:
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path: task_b_7b/train.json
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data_files:
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---
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# BeliefTrack
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[📄 arXiv](https://arxiv.org/abs/2605.30219) • [🤗 HFPaper](https://huggingface.co/papers/2605.30219) • [🤗 HF Collection](https://huggingface.co/collections/zjunlp/contextualbeliefmanagement)
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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.
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## Configurations
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```python
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from datasets import load_dataset
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ds = load_dataset("YOUR_ORG/BeliefTrack", "task_a_9b")
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print(ds["train"][0])
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```
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ds = load_dataset(
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"json",
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data_files={
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"train": "task_a_9b/train.json",
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"test": "task_a_9b/test.json",
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},
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)
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```
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}
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}
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```
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## Citation
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```bibtex
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@article{xu2026whenshouldmodelschange,
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title={When Should Models Change Their Minds? Contextual Belief Management in Large Language Models},
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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},
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journal={arXiv preprint arXiv:2605.30219},
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year={2026}
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}
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```
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