Attribution — ulises-c/SocratTeachLLM
Original Model
This is a copy of the model published by the KELE research team:
Original: yuanpan/SocratTeachLLM
The model weights, LoRA fine-tuning, and all training methodology are the intellectual property of the KELE research team as described in:
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/
Base Model
Fine-tuned from THUDM/glm-4-9b-chat (GLM4-9B) by Zhipu AI.
Training Data
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).
- 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
This Copy
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.
Repository for downstream evaluation and extension work: https://github.com/ulises-c/csen-346
License
Apache 2.0 — consistent with the original model and the GLM4-9B-Chat base model.