Improve model card: Update pipeline tag, add dataset, and HF paper link (#3)

- Improve model card: Update pipeline tag, add dataset, and HF paper link (ffb8dcbd44ce70e1773b7ccb95f1000f83346880)


Co-authored-by: Niels Rogge <[email protected]>

README.md

@@ -1,13 +1,17 @@
 ---
-license: apache-2.0
+base_model:
+- llava-hf/llava-1.5-7b-hf
+- OpenGVLab/InternVL-Chat-ViT-6B-Vicuna-7B
+datasets:
+- MLLM-CL/MLLM-CL
+- MLLM-CL/MLLM-CL-ReplayData
 language:
 - en
+library_name: transformers
+license: apache-2.0
 metrics:
 - accuracy
-base_model:
-- llava-hf/llava-1.5-7b-hf
-- OpenGVLab/InternVL-Chat-ViT-6B-Vicuna-7B
-base_model_relation: adapter
+pipeline_tag: image-text-to-text
 tags:
 - finance
 - medical
@@ -25,10 +29,7 @@ tags:
 - multimodal
 - image-to-text
 - text-generation
-pipeline_tag: visual-question-answering
-library_name: transformers
-datasets:
-- MLLM-CL/MLLM-CL
+base_model_relation: adapter
 ---
 
 ## MLLM-CL Benchmark Description
@@ -36,7 +37,7 @@ MLLM-CL is a novel benchmark encompassing domain and ability continual learning,
 whereas the latter evaluates on non-IID scenarios with emerging model ability.
 For more details, please refer to: 
 
-**MLLM-CL: Continual Learning for Multimodal Large Language Models** [[paper](https://arxiv.org/abs/2506.05453)], [[code](https://github.com/bjzhb666/MLLM-CL/)].
+**MLLM-CL: Continual Learning for Multimodal Large Language Models** [[paper](https://arxiv.org/abs/2506.05453)], [[HF paper](https://huggingface.co/papers/2506.05453)], [[code](https://github.com/bjzhb666/MLLM-CL/)].
 ![](MLLM-CL.png "Magic Gardens")
 [‪Hongbo Zhao](https://scholar.google.com/citations?user=Gs22F0UAAAAJ&hl=zh-CN), [Fei Zhu](https://impression2805.github.io/), [Haiyang Guo](https://ghy0501.github.io/guohaiyang0501.github.io/), [Meng Wang](https://moenupa.github.io/), Rundong Wang, [‪Gaofeng Meng](https://scholar.google.com/citations?hl=zh-CN&user=5hti_r0AAAAJ), [‪Zhaoxiang Zhang‬](https://scholar.google.com/citations?hl=zh-CN&user=qxWfV6cAAAAJ)