Add model card for Engagement Process Reward Model

README.md

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+---
+license: cc-by-nc-4.0
+library_name: transformers
+pipeline_tag: text-classification
+base_model: meta-llama/Llama-3.1-8B
+---
+
+# MAHALO - Engagement Process Reward Model (PRM)
+
+This repository contains the Engagement Process Reward Model (PRM) introduced in the paper [Simultaneous Multi-objective Alignment Across Verifiable and Non-verifiable Rewards](https://huggingface.co/papers/2510.01167).
+
+This model is a fine-tuned version of [Llama-3.1-8B](https://huggingface.co/meta-llama/Llama-3.1-8B) using the `LlamaForSequenceClassification` architecture. It is part of the **MAHALO** (Multi-Action-Head ALignment with PRM-guided DecOding) framework, designed to provide step-level reward signals for student engagement in multi-turn AI tutoring dialogues (Socratic Mind domain).
+
+## Resources
+
+- **Paper:** [Simultaneous Multi-objective Alignment Across Verifiable and Non-verifiable Rewards](https://huggingface.co/papers/2510.01167)
+- **Repository:** [pearls-lab/multiobj-align](https://github.com/pearls-lab/multiobj-align)
+
+## Model Description
+
+The MAHALO framework standardizes PRM training across verifiable and non-verifiable settings for step-level supervision. This specific model serves as a Process Reward Model (PRM) to evaluate and guide the "engagement" objective, helping to align the model with human preferences in complex interactive scenarios.
+
+## Citation
+
+```bibtex
+@article{shen2025simultaneous,
+  title={Simultaneous Multi-objective Alignment Across Verifiable and Non-verifiable Rewards},
+  author={Shen, Yiran and Xia, Yu and Chang, Jonathan and Ammanabrolu, Prithviraj},
+  journal={arXiv preprint arXiv:2510.01167},
+  year={2025},
+  url={https://arxiv.org/abs/2510.01167}
+}
+```