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The Next Screenshot Knows: Gated Hindsight Distillation for Mobile GUI Agents
Weiwei Li, Junzhuo Liu, Tong Chu +2
GUI agents are commonly trained offline from successful interaction trajectories. Standard training decomposes each trajectory into prefix-action pairs: the agent predicts an actio…
DOne: Decoupling Structure and Rendering for High-Fidelity Design-to-Code Generation
Xinhao Huang, Jinke Yu, Wenhao Xu +5
While Vision Language Models (VLMs) have shown promise in Design-to-Code generation, they suffer from a "holistic bottleneck-failing to reconcile high-level structural hierarchy wi…
Let Samples Speak: Mitigating Spurious Correlation by Exploiting the Clusterness of Samples
Weiwei Li, Junzhuo Liu, Yuanyuan Ren +3
Deep learning models are known to often learn features that spuriously correlate with the class label during training but are irrelevant to the prediction task. Existing methods ty…
New Dataset and Methods for Fine-Grained Compositional Referring Expression Comprehension via Specialist-MLLM Collaboration
Xuzheng Yang, Junzhuo Liu, Peng Wang +3
Referring Expression Comprehension (REC) is a foundational cross-modal task that evaluates the interplay of language understanding, image comprehension, and language-to-image groun…
FineCops-Ref: A new Dataset and Task for Fine-Grained Compositional Referring Expression Comprehension
Junzhuo Liu, Xuzheng Yang, Weiwei Li +1
Referring Expression Comprehension (REC) is a crucial cross-modal task that objectively evaluates the capabilities of language understanding, image comprehension, and language-to-i…