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Ming-Liang Zhang

ACL 2026×2强化学习与后训练多模态智能体与工具推理
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0 一作 · 2 篇 · ACL 2026

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2026 顶会论文

2
作者位次 #11/14ACL 2026Poster· Natural Language Processing

M obile- R 1: Towards Interactive Capability for VLM -Based Mobile Agent via Systematic Training

Jihao Gu · Qihang Ai · Yingyao Wang · Pi Bu · Jingxuan Xing · Yue Cao · Zekun Zhu · Wei Jiang · Ziming Wang · Yingxiu Zhao · Ming-Liang Zhang · Jun Song · Yuning Jiang (Taobao &amp · Zerui Huang (Taobao &amp

摘要

Vision-language model-based mobile agents have gained the ability to understand complex instructions and mobile screenshots, benefiting from reinforcement learning paradigms like Group Relative Policy Optimization (GRPO). However, existing approaches centers on offline training or local action-le...

强化学习与后训练智能体与工具多模态OpenReview 项目页
作者位次 #2/13ACL 2026Findings· Findings of ACL

Geoparsing: Diagram Parsing for Plane and Solid Geometry with a Unified Formal Language

Peijie Wang · Ming-Liang Zhang · Jun Cao · Chao Deng · Dekang Ran · Pi Bu · Hongda Sun · Xuan Zhang · Yingyao Wang · Jun Song · Zerui Huang (Taobao &amp · Fei Yin · Cheng-lin Liu

摘要

Multimodal Large Language Models (MLLMs) have achieved remarkable progress but continue to struggle with geometric reasoning, primarily due to the perception bottleneck regarding fine-grained visual elements. While formal languages have aided plane geometry understanding, solid geometry which req...

强化学习与后训练多模态推理OpenReview 项目页

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