{
 "id": "UCSC-VLAA/VLM-CapCurriculum-VisualReasoning-Data",
 "owner": "UCSC-VLAA",
 "name": "VLM-CapCurriculum-VisualReasoning-Data",
 "downloads": 204,
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 "last_modified": "2026-05-20T19:32:04.000Z",
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 "gated": false,
 "tasks": [
  "visual-question-answering"
 ],
 "citation": "@inproceedings{vlmcapcurriculum2026,\n  title  = {From Seeing to Thinking: Decoupling Perception and Reasoning Improves Post-Training of Vision-Language Models},\n  author = {Juncheng Wu and Hardy Chen and Haoqin Tu and Xianfeng Tang and Freda Shi and Hui Liu and Hanqing Lu and Cihang Xie and Yuyin Zhou},\n  booktitle = {Proceedings of the International Conference on Machine Learning (ICML)},\n  year   = {2026},\n  eprint = {2605.20177},\n  archivePrefix = {arXiv},\n  primaryClass = {cs.CV},\n  url    = {https://arxiv.org/abs/2605.20177}\n}",
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