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Guangjing Wang

ACL 2026×2安全智能体与工具可解释性多模态效率与系统
新星分资深
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一作贡献0
核心/参与5
方向广度10
合作网络3
0 一作 · 2 篇 · ACL 2026

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2026 顶会论文

2
作者位次 #5/5ACL 2026Poster· Natural Language Processing

A Multi-Agent Framework for High-Interaction Terminal Simulation

Kai Wei · Yuwen Cui · Kehan Shen · Hua Wei · Guangjing Wang

摘要

Terminal simulation, framed as a terminal command-level Turing test, is a long-standing problem of symbolic language generation in dialogue and interactive systems. Prior scripted simulators lack the flexibility needed for complex, multi-turn interactions, while LLM-based approaches often misinte...

智能体与工具安全可解释性OpenReview 项目页
作者位次 #2/2ACL 2026Findings· Findings of ACL

A Unified Feature Mixture Framework for Joint Speech and Singing Deepfake Detection

Aastha Sharma · Guangjing Wang

摘要

High-fidelity audio generation techniques, such as voice conversion and singing voice synthesis, have significantly increased the risk of audio deepfakes. Although existing methods perform well on conversational speech deepfake detection, they fail severely under the speech-to-singing domain shif...

多模态效率与系统安全OpenReview 项目页

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