paper.dinq.meAI 与前沿科学顶会 · 学术新星雷达
登录 DINQ
返回新星榜
JG

Jihao Gu

ACL 2026×3AAAI 2026多模态强化学习与后训练智能体与工具评测与基准检索与知识
新星分新星
72
一作贡献30
核心/参与15
方向广度13
合作网络12
1 一作 · 4 篇 · ACL 2026 / AAAI 2026

获取完整研究档案

首次获取该候选人的完整档案及 StartLux 评估共 20 积分;每位用户单独解锁,之后查看免费。主动刷新 20 积分。

联系方式

实时查找电子邮箱,费用不超过20积分;未找到邮箱不扣费。

2026 顶会论文

4
一作ACL 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 #5/11ACL 2026Poster· Natural Language Processing

I nquire M obile: Teaching VLM -based Mobile Agent to Request Human Assistance via Reinforcement Fine-Tuning

Qihang Ai · Pi Bu · Yue Cao · Yingyao Wang · Jihao Gu · Jingxuan Xing · Zekun Zhu · Wei Jiang · Zhicheng Zheng · Jun Song · Yuning Jiang (Taobao &amp

摘要

Recent advances in Vision-Language Models (VLMs) have enabled mobile agents to perceive and interact with real-world mobile environments based on human instructions. However, the current fully autonomous paradigm poses potential safety risks when model understanding or reasoning capabilities are...

多模态强化学习与后训练评测与基准OpenReview 项目页
作者位次 #11/13ACL 2026Poster· Natural Language Processing

GUI 0: Self-Evolving Foundational GUI Agents in Super App Ecosystems

Xinyi Wang · Wei Dai · Kyle Qiao · Ke Wang · Peng Chen · Gang Cao · Kangqin · Zhongpu Wang · Xiaode Zhang · Yanming Liu · Jihao Gu · Jingtao Xu · Gong Zhi

摘要

Automated interaction with graphical user interfaces (GUIs) is central to General Artificial Intelligence yet remains challenging within Super App ecosystems, characterized by non-standard rendering and absent accessibility metadata. While GUI agents often rely on explicit accessibility trees or...

智能体与工具多模态强化学习与后训练OpenReview 项目页

常见合作者