---
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}
}
```