README.md

---
library_name: transformers
pipeline_tag: text-classification
---

# TESSY: Boundary Predictor

This model is a boundary predictor developed as part of the **TESSY** (Teacher–Student Cooperation Data Synthesis) framework, as presented in the paper:
[*How to Fine-Tune a Reasoning Model? A Teacher–Student Cooperation Framework to Synthesize Student-Consistent SFT Data*](https://huggingface.co/papers/2604.14164).

## Model Description

TESSY is a framework designed to bridge the stylistic gap between teacher-generated synthetic data and the student model's distribution. It interleaves teacher and student models to alternately generate style and non-style tokens.

The **Boundary Predictor** is a critical component of this system; it identifies the transitions between reasoning steps (capability tokens) and non-reasoning stylistic content (style tokens) within a given problem. This allows the framework to determine when to switch between the teacher model (for reasoning) and the student model (for style).

## Links

- **Paper:** [arXiv:2604.14164](https://huggingface.co/papers/2604.14164)
- **Code:** [GitHub - CoopReason/TESSY](https://github.com/CoopReason/TESSY)
- **Dataset:** [TESSY-Code-80K](https://huggingface.co/datasets/CoopReason/TESSY-Code-80K)

## Citation

If you find this work useful, please cite:

```bibtex
@article{TESSY,
  title={How to Fine-Tune a Reasoning Model? A Teacher--Student Cooperation Framework to Synthesize Student-Consistent SFT Data},
  author={Huang, Zixian and Yang, Kaichen and Huang, Xu and Hao, Feiyang and Ge, Qiming and Li, Bowen and Du, He and Chen, Kai and Guo, Qipeng},
  journal={arXiv preprint arXiv:2604.14164},
  year={2026}
}
```