| # Attribution — ulises-c/SocratTeachLLM |
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| ## Original Model |
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| This is a copy of the model published by the KELE research team: |
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| > **Original:** [yuanpan/SocratTeachLLM](https://huggingface.co/yuanpan/SocratTeachLLM) |
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| The model weights, LoRA fine-tuning, and all training methodology are the intellectual property of the KELE research team as described in: |
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| > Peng, Yuan et al. "KELE: A Multi-Agent Framework for Structured Socratic Teaching with Large Language Models." |
| > *Findings of the Association for Computational Linguistics: EMNLP 2025.* |
| > https://aclanthology.org/2025.findings-emnlp.888/ |
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| ## Base Model |
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| Fine-tuned from [THUDM/glm-4-9b-chat](https://huggingface.co/THUDM/glm-4-9b-chat) (GLM4-9B) by Zhipu AI. |
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| ## Training Data |
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| Trained on **SocratDataset** — 6,803 multi-turn Socratic dialogues in Chinese covering elementary school science, constructed using the KELE B.3/B.4 pipeline from the CSQ dataset (Liu et al., 2025). |
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| - Chinese dataset: https://huggingface.co/datasets/ulises-c/SocratDataset |
| - English translation: https://huggingface.co/datasets/ulises-c/SocratDataset-EN |
| - Original distribution (JSON): https://github.com/yuanpan1020/KELE |
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| ## This Copy |
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| **Copied by:** Ulises Chavarria |
| **Context:** CSEN 346 (Natural Language Processing), Santa Clara University |
| **Reason:** The original `yuanpan/SocratTeachLLM` had a minimal README. This copy adds a detailed README with architecture specs, usage examples, the full Table 1 benchmark results from the paper, and cross-references to the associated datasets and evaluation code. No weights were modified. |
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| Repository for downstream evaluation and extension work: |
| https://github.com/ulises-c/csen-346 |
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| ## License |
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| Apache 2.0 — consistent with the original model and the GLM4-9B-Chat base model. |
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