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Ying Shan

CVPR 2026×6ICLR 2026×5SIGGRAPH 2026×2AAAI 2026ACL 2026多模态推理理论与学习动力学强化学习与后训练对齐与偏好
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方向广度19
合作网络12
0 一作 · 15 篇 · CVPR 2026 / ICLR 2026 / SIGGRAPH 2026 / AAAI 2026 / ACL 2026

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2026 顶会论文

15
作者位次 #3/3CVPR 2026Poster· Computer Vision & Pattern Recognition

MeshWeaver: Sparse-Voxel-Guided Surface Weaving for Autoregressive Mesh Generation

Jiale Xu · Wang Zhao · Ying Shan

作者位次 #6/7ACL 2026Findings· Findings of ACL

GRPO - CARE : Consistency-Aware Reinforcement Learning for Multimodal Reasoning

Yi Chen · Yuying Ge · Rui Wang · Yixiao Ge · JUNHAO CHENG · Ying Shan · Xihui Liu

摘要

Recent reinforcement learning (RL) approaches, such as outcome-supervised GRPO, have advanced reasoning in Large Language Models (LLMs), yet their adaptation to multimodal LLMs (MLLMs) remains underexplored. Progress has been further limited by the lack of evaluation settings that jointly test pe...

多模态强化学习与后训练推理OpenReview 项目页

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