| license: apache-2.0 | |
| # [NeurIPS 2025] CURV: Coherent Uncertainty-Aware Reasoning in Vision-Language Models for X-Ray Report Generation | |
| A fine-tuned model for chest X-ray report generation. | |
| Github: https://github.com/wwwadx/CURV | |
| ## Model Details | |
| This model was fine-tuned using GRPO for chest X-ray report generation. | |
| ### Training Details | |
| - **Base Model**: Qwen2-VL | |
| - **Training Method**: GRPO | |
| - **Training Framework**: [ms-swift](https://github.com/modelscope/ms-swift) | |
| ### Usage | |
| ```python | |
| from modelscope import AutoModelForCausalLM, AutoTokenizer | |
| model = AutoModelForCausalLM.from_pretrained('wzaAAAAA/CURV') | |
| tokenizer = AutoTokenizer.from_pretrained('wzaAAAAA/CURV') | |
| ``` | |
| ### Files | |
| - `config.json`: Model configuration | |
| - `model-*.safetensors`: Model weights | |
| - `tokenizer_config.json`: Tokenizer configuration | |
| - `generation_config.json`: Generation configuration | |
| ### License | |
| This model is released under the Apache 2.0 license. | |