| --- |
| pipeline_tag: text-classification |
| library_name: transformers |
| --- |
| |
| # Boundary Predictor - TESSY |
|
|
| This model is a boundary predictor developed as part of the work: |
| [*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 |
|
|
| This model serves as a critical component of **TESSY** (Teacher–Student Cooperation Data Synthesis), a framework designed to synthesize "on-policy" SFT data for reasoning models like Qwen3. |
|
|
| The primary role of this predictor is to identify **reasoning boundaries**—the specific points in a sequence where the model transitions between reasoning steps (capability tokens) and non-reasoning stylistic content (style tokens). By predicting these boundaries, TESSY allows a teacher model (to provide reasoning) and a student model (to provide stylistic consistency) to alternate during the data generation process. |
|
|
| ## Resources |
|
|
| - **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) |
| - **GitHub Repository:** [CoopReason/TESSY](https://github.com/CoopReason/TESSY/) |
| - **Associated Dataset:** [TESSY-Code-80K](https://huggingface.co/datasets/CoopReason/TESSY-Code-80K) |
|
|
| ## Citation |
|
|
| If you find this work or model 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 Qiming, Ge and Li, Bowen and Du, He and Chen, Kai and Guo, Qipeng}, |
| journal={arXiv preprint arXiv:2604.14164}, |
| year={2026} |
| } |
| ``` |
