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README.md

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-license: apache-2.0
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+---
+license: apache-2.0
+pipeline_tag: image-text-to-text
+library_name: transformers
+---
+
+# TPRU-7B
+
+This repository contains the **TPRU-7B** model, introduced in the paper [TPRU: Advancing Temporal and Procedural Understanding in Large Multimodal Models](https://huggingface.co/papers/2602.18884).
+
+TPRU (**T**emporal-**Pr**ocedural and **U**nderstanding) is a framework and dataset designed to enhance the temporal reasoning and procedural understanding capabilities of Multimodal Large Language Models (MLLMs). By leveraging a reinforcement learning (RL) fine-tuning methodology (specifically GRPO) on tasks such as Temporal Reordering, Next-Frame Prediction, and Previous-Frame Review, the model achieves state-of-the-art results on procedural understanding benchmarks.
+
+## Resources
+- **Paper:** [TPRU: Advancing Temporal and Procedural Understanding in Large Multimodal Models](https://huggingface.co/papers/2602.18884)
+- **Code:** [GitHub - Stephen-gzk/TPRU](https://github.com/Stephen-gzk/TPRU/)
+- **Dataset:** [TPRU-25k](https://huggingface.co/datasets/Stephengzk/TPRU-25k)
+
+## Citation
+
+If you find this work useful, please consider citing:
+
+```bibtex
+@inproceedings{gao2026tpru,
+  title={TPRU: Advancing Temporal and Procedural Understanding in Large Multimodal Models},
+  author={Gao, Zhenkun and Wang, Xuhong and Tan, Xin and Xie, Yuan},
+  booktitle={Published as a conference paper at ICLR 2026},
+  year={2026}
+}
+```