17 citations · 22 across the 2 of their papers we have counts for
4 papers
Phase-wise MLLM Tuning for Multi-framework WebUI Code Generation
Haoran Ma, Linxiao Li, Chenyue Wang +2
Multimodal large language models (MLLMs) achieve strong performance in translating WebUI screenshots into HTML/CSS. However, when they faced multiple frameworks (React/Vue/Angular)…
Toward Executable Multi-framework Front-end Code Generation with Self-Correction
Linxiao Li, Haoran Ma, Chenyue Wang +3
Generating codes from UI screenshots has recently benefited from MLLMs, yet existing methods centered on HTML targets and transfer poorly to multi-frameworks such as React, Vue, an…
Addressing Correlated Latent Exogenous Variables in Debiased Recommender Systems
Shuqiang Zhang, Yuchao Zhang, Jinkun Chen +1
Recommendation systems (RS) aim to provide personalized content, but they face a challenge in unbiased learning due to selection bias, where users only interact with items they pre…
FTS: A Framework to Find a Faithful TimeSieve
Songning Lai, Ninghui Feng, Haochen Sui +5
The field of time series forecasting has garnered significant attention in recent years, prompting the development of advanced models like TimeSieve, which demonstrates impressive…