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Ganqu Cui

ACL 2026×2CVPR 2026ICLR 2026强化学习与后训练多模态效率与系统长上下文与架构评测与基准
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方向广度16
合作网络12
0 一作 · 4 篇 · ACL 2026 / CVPR 2026 / ICLR 2026

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2026 顶会论文

4
作者位次 #29/34CVPR 2026Poster· Computer Vision & Pattern Recognition

MiniCPM-V 4.5: Cooking Efficient MLLMs via Architecture, Data, and Training Recipe

Tianyu Yu · Zefan Wang · Chongyi Wang · Fuwei Huang · Wenshuo Ma · Zhihui He · Tianchi Cai · Weize Chen · Yuxiang Huang · Ranchi Zhao · Bokai Xu · Junbo Cui · Yingjing Xu · Liqing Ruan · Luoyuan Zhang · Hanyu Liu · Jingkun Tang · Hongyuan Liu · Qining Guo · Wenhao Hu · Bingxiang He · Jie Zhou · Jie Cai · Ji Qi · Zonghao Guo · Chi Chen · Guoyang Zeng · Yuxuan Li · Ganqu Cui · Ning Ding · Xu Han · Yuan Yao · Zhiyuan Liu · Maosong Sun

多模态效率与系统长上下文与架构OpenReview 项目页
作者位次 #8/12ACL 2026Findings· Findings of ACL

V - G ame G ym: Visual Game Generation for Code Large Language Models

Wei Zhang · Jian Yang · Renshuai Tao · Linzheng Chai · Shuyue Guo · Jiajun Wu · Xiaoming Chen · Ganqu Cui · Ning Ding · Xander Xu · HU WEI · Bowen Zhou

摘要

Code large language models have demonstrated remarkable capabilities in programming tasks, yet current benchmarks primarily focus on single modality rather than visual game development. Most existing code-related benchmarks evaluate syntax correctness and execution accuracy, overlooking critical...

多模态评测与基准代码OpenReview 项目页
作者位次 #4/6ACL 2026Findings· Findings of ACL

The Best of Both Worlds: Combining Parallel and Sequential Inference Scaling via Aggregation Fine-Tuning

Yafu Li · Zhilin Wang · Tingchen Fu · Ganqu Cui · Sen Yang · Yu Cheng

摘要

Scaling data and model size has been proven effective for boosting the performance of large language models. In addition to training-time scaling, recent studies have revealed that increasing test-time computational resources can further improve performance. In this work, we introduce Aggregation...

推理对齐与偏好强化学习与后训练OpenReview 项目页

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