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Xinyi Wang

ACL 2026×3NeurIPS 2026智能体与工具强化学习与后训练评测与基准数据与预训练多模态
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1 一作 · 4 篇 · ACL 2026 / NeurIPS 2026

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2026 顶会论文

4
一作ACL 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
作者位次 #4/8ACL 2026Findings· Findings of ACL

T ool G ate: Contract-Grounded and Verified Tool Execution for LLM s

Yanming Liu · Xinyue Peng · Jiannan Cao · Xinyi Wang · Songhang Deng · Jintao Chen · Jianwei Yin · Xuhong Zhang

摘要

Large Language Models (LLMs) augmented with external tools have demonstrated remarkable capabilities in complex reasoning tasks. However, existing frameworks rely heavily on natural language reasoning to determine when tools can be invoked and whether their results should be committed, lacking fo...

推理安全智能体与工具OpenReview 项目页
作者位次 #6/8ACL 2026Findings· Findings of ACL

MTP - RL : Acceleration of Reinforcement Learning Rollouts with Policy-Aligned Multi-Token Prediction

Ke Wang · Aohan Zeng · Zhengxiao Du · Yuxuan Hu · Bohan Zhang · Xinyi Wang · Jie Tang · Jing Zhang

摘要

Reinforcement learning (RL) is widely applied to boost the performance of pretrained models, yet its training efficiency is severely constrained by rollout generation. While speculative decoding based on multi-token prediction (MTP) offers a potential acceleration pathway, its widespread adoption...

强化学习与后训练效率与系统对齐与偏好OpenReview 项目页

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