| --- |
| 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. |
|
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| 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} |
| } |
| ``` |
