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Xiaoxuan Tang

3 accepted papers

2026

History-Aware Reasoning for GUI Agents

AAAI 2026technical

Advances in Multimodal Large Language Models have significantly enhanced Graphical User Interface (GUI) automation. Equipping GUI agents with reliable episodic reasoning capabilities is essential for bridging the gap between users’ concise task descriptions and the complexities of real-world executi

Cited by 0SourcePDFScholar
2026

ProBench: Benchmarking GUI Agents with Accurate Process Information

AAAI 2026technical

With the deep integration of artificial intelligence and interactive technology, Graphical User Interface (GUI) Agent, as the carrier connecting goal-oriented natural language and real-world devices, has received widespread attention from the community. Contemporary benchmarks aim to evaluate the co

Cited by 0SourcePDFScholar
2026

ReFAct: Empowering Multimodal Web Agents with Visual and Context Focusing

CVPR 2026

Multimodal Web Search Agents demonstrate a practically valuable capability by fusing information from diverse modalities (e.g., text and vision), retrieved iteratively from the internet, to address complex user queries. However, the visual modality is prone to information overload, and the noise con

Cited by 0SourceScholar