README.md

---
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.