| base_model: | |
| - OpenGVLab/InternVL2_5-8B | |
| datasets: | |
| - Code2Logic/GameQA-140K | |
| - Code2Logic/GameQA-5K | |
| license: apache-2.0 | |
| pipeline_tag: image-text-to-text | |
| library_name: transformers | |
| ***This model (GameQA-InternVL2.5-8B) results from training InternVL2.5-8B with GRPO solely on our [GameQA-5K](https://huggingface.co/datasets/Code2Logic/GameQA-5K) (sampled from the full [GameQA-140K](https://huggingface.co/datasets/Gabriel166/GameQA-140K) dataset).*** | |
| # Evaluation Results on General Vision BenchMarks | |
| <div align=center><img src="https://raw.githubusercontent.com/tongjingqi/Code2Logic/refs/heads/main/assets/evaluation_results_on_general_vision_benchmarks.png"></div> | |
| ***(The inference and evaluation configurations were unified across both the original open-source models and our trained models.)*** | |
| # Code2Logic: Game-Code-Driven Data Synthesis for Enhancing VLMs General Reasoning | |
| This is the first work, to the best of our knowledge, that leverages ***game code*** to synthesize multimodal reasoning data for ***training*** VLMs. Furthermore, when trained with a GRPO strategy solely on **GameQA** (synthesized via our proposed **Code2Logic** approach), multiple cutting-edge open-source models exhibit significantly enhanced out-of-domain generalization. | |
| [[📖 Paper](https://arxiv.org/abs/2505.13886)] [[💻 Code](https://github.com/tongjingqi/Code2Logic)] [[🤗 GameQA-140K Dataset](https://huggingface.co/datasets/Gabriel166/GameQA-140K)] [[🤗 GameQA-5K Dataset](https://huggingface.co/datasets/Code2Logic/GameQA-5K)] [[🤗 GameQA-InternVL3-8B](https://huggingface.co/Code2Logic/GameQA-InternVL3-8B) ] [[🤗 GameQA-Qwen2.5-VL-7B](https://huggingface.co/Code2Logic/GameQA-Qwen2.5-VL-7B)] [[🤗 GameQA-LLaVA-OV-7B](https://huggingface.co/Code2Logic/GameQA-llava-onevision-qwen2-7b-ov-hf) ] | |
| <div align=center><img src="https://raw.githubusercontent.com/tongjingqi/Code2Logic/refs/heads/main/assets/categorized_30_games_images.png"></div> | |
| ## News | |
| * We've open-sourced the models trained with GRPO on GameQA on [Huggingface](https://huggingface.co/Code2Logic). |