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README.md

@@ -6,65 +6,82 @@ metrics:
 - accuracy
 pipeline_tag: text-generation
 ---
-# MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical Reasoning
-
-Paper: [https://arxiv.org/pdf/2310.03731.pdf](https://arxiv.org/pdf/2310.03731.pdf)
+# MathCoder-VL: Bridging Vision and Code for Enhanced Multimodal Mathematical Reasoning
 
 Repo: [https://github.com/mathllm/MathCoder](https://github.com/mathllm/MathCoder)
 
 
 ## Introduction
-We introduce MathCoder, a series of open-source large language models (LLMs) specifically tailored for general math problem-solving.
+We introduce MathCoder-VL, a series of open-source large multimodal models (LMMs) specifically tailored for general math problem-solving. We also introduce [FigCodifier-8B](https://huggingface.co/MathLLMs/FigCodifier), an image-to-code model.
 
-| Base Model: Llama-2                                           	| Base Model: Code Llama                                                |
+| Base Model                                          	|Ours                                               |
 |-------------------------------------------------------------------|-----------------------------------------------------------------------|
-|  [MathCoder-L-7B](https://huggingface.co/MathLLM/MathCoder-L-7B)  |  [MathCoder-CL-7B](https://huggingface.co/MathLLM/MathCoder-CL-7B)   	|
-|  [MathCoder-L-13B](https://huggingface.co/MathLLM/MathCoder-L-13B)  |  [MathCoder-CL-34B](https://huggingface.co/MathLLM/MathCoder-CL-34B)   	|
+|  [Mini-InternVL-Chat-2B-V1-5](https://huggingface.co/OpenGVLab/Mini-InternVL-Chat-2B-V1-5)  |  [MathCoder-VL-2B](https://huggingface.co/MathLLMs/MathCoder-VL-2B)   	|
+|  [InternVL2-8B](https://huggingface.co/OpenGVLab/InternVL2-8B)  |     	[MathCoder-VL-8B](https://huggingface.co/MathLLMs/MathCoder-VL-8B)|
 
 
-## Training Data
-The models are trained on the [MathCodeInstruct](https://huggingface.co/datasets/MathLLM/MathCodeInstruct) Dataset.
 
+## Usage
+For training and inference code, please refer to [InternVL](https://github.com/OpenGVLab/InternVL).
 
-## Training Procedure
-The models are fine-tuned with the MathCodeInstruct dataset using the original Llama-2 and CodeLlama models as base models. Check out our paper and repo for more details.
 
-## Evaluation
+## Motivation
+<br>
+<div align="center">
+  <img src="./examples/fig1.png" width="100%" title="Result Figure">
+</div>
+
+## Construction of FigCodifier
 
 <br>
 <div align="center">
-  <img src="result.png" width="100%" title="Result Figure">
+  <img src="./examples/fig2.png" width="100%" title="Result Figure">
 </div>
 
+## Construction of MathCoder-VL
 
 
-## Usage
-You can use the models through Huggingface's Transformers library. Use the pipeline function to create a text-generation pipeline with the model of your choice, then feed in a math problem to get the solution.
-Check our Github repo for datails.
+<div align="center">
+  <img src="./examples/fig4.png" width="100%" title="Result Figure">
+</div>
 
+## Performance
+
+<div align="center">
+  <img src="./examples/tab1.png" width="100%" title="Result Figure">
+</div>
 
 ## **Citation**
 
-Please cite the paper if you use our data, model or code. Please also kindly cite the original dataset papers. 
+Please cite the paper if you use our data, model or code.
 
 ```
 @inproceedings{
-wang2024mathcoder,
-title={MathCoder: Seamless Code Integration in {LLM}s for Enhanced Mathematical Reasoning},
-author={Ke Wang and Houxing Ren and Aojun Zhou and Zimu Lu and Sichun Luo and Weikang Shi and Renrui Zhang and Linqi Song and Mingjie Zhan and Hongsheng Li},
-booktitle={The Twelfth International Conference on Learning Representations},
-year={2024},
-url={https://openreview.net/forum?id=z8TW0ttBPp}
+wang2025mathcodervl,
+title={MathCoder-{VL}: Bridging Vision and Code for Enhanced Multimodal Mathematical Reasoning},
+author={Ke Wang and Junting Pan and Linda Wei and Aojun Zhou and Weikang Shi and Zimu Lu and Han Xiao and Yunqiao Yang and Houxing Ren and Mingjie Zhan and Hongsheng Li},
+booktitle={The 63rd Annual Meeting of the Association for Computational Linguistics},
+year={2025},
+url={https://openreview.net/forum?id=nuvtX1imAb}
 }
 ```
-
 ```
 @inproceedings{
-zhou2024solving,
-title={Solving Challenging Math Word Problems Using {GPT}-4 Code Interpreter with Code-based Self-Verification},
-author={Aojun Zhou and Ke Wang and Zimu Lu and Weikang Shi and Sichun Luo and Zipeng Qin and Shaoqing Lu and Anya Jia and Linqi Song and Mingjie Zhan and Hongsheng Li},
+lu2025mathcoder,
+title={MathCoder2: Better Math Reasoning from Continued Pretraining on Model-translated Mathematical Code},
+author={Zimu Lu and Aojun Zhou and Ke Wang and Houxing Ren and Weikang Shi and Junting Pan and Mingjie Zhan and Hongsheng Li},
+booktitle={The Thirteenth International Conference on Learning Representations},
+year={2025},
+url={https://openreview.net/forum?id=1Iuw1jcIrf}
+}
+```
+```
+@inproceedings{
+wang2024mathcoder,
+title={MathCoder: Seamless Code Integration in {LLM}s for Enhanced Mathematical Reasoning},
+author={Ke Wang and Houxing Ren and Aojun Zhou and Zimu Lu and Sichun Luo and Weikang Shi and Renrui Zhang and Linqi Song and Mingjie Zhan and Hongsheng Li},
 booktitle={The Twelfth International Conference on Learning Representations},
 year={2024},
-url={https://openreview.net/forum?id=c8McWs4Av0}
+url={https://openreview.net/forum?id=z8TW0ttBPp}
 }
 ```