Update README.md

README.md

@@ -1,3 +1,26 @@
----
-license: mit
----
+---
+license: mit
+task_categories:
+- text-generation
+language:
+- en
+tags:
+- Problem solving
+size_categories:
+- 10M<n<100M
+---
+
+# Every Problem, Every Step, All in Focus: Learning to Solve Vision-Language Problems With Integrated Attention
+A novel Solution Graph Attention Network (SGAN) approach that takes into account both intra-step and inter-step attention mechanisms, enabling a progressive construction of solutions by refining the dependencies between relevant problemsolving steps.
+
+Citation
+------------------
+If you use our code or data, please cite our paper:
+```text
+@article{xianyu:2024:sgan,
+    Author         = {Xianyu Chen and Jinhui Yang and Shi Chen and Louis Wang and Ming Jiang and Qi Zhao},
+    Title          = {Every Problem, Every Step, All In Focus: Learning to Solve Vision-Language Problems with Integrated Attention},
+    journal        = {IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI)},
+    Year           = {2024}
+}
+```