activity
20232026
most citedAndroid in the Zoo: Chain-of-Action-Thought for GUI Agents

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

Ancient-Bench: A Comprehensive Multi-millennial, Multi-medium, and Multi-script Benchmark for Ancient Chinese Artifact Text Recognition

Hiuyi Cheng, Nuo Xu, Yuyi Zhang +9

Ancient Chinese artifact text recognition is fundamental to heritage digitization, and benchmarks for ancient texts are essential for evaluating current model capabilities. However…

cs.CV2026

Reinforcement Learning with Robust Rubric Rewards

Ya-Qi Yu, Hao Wang, Fangyu Hong +15

While Reinforcement Learning with Verifiable Rewards (RLVR) is effective for deterministically checkable tasks, many vision-language tasks are partially verifiable, demanding multi…

cs.CV2026

Visual Preference Optimization with Rubric Rewards

Ya-Qi Yu, Fangyu Hong, Xiangyang Qu +15

The effectiveness of Direct Preference Optimization (DPO) depends on preference data that reflect the quality differences that matter in multimodal tasks. Existing pipelines often…

cs.CL2024★ 1 cited

Android in the Zoo: Chain-of-Action-Thought for GUI Agents

Jiwen Zhang, Jihao Wu, Yihua Teng +5

Large language model (LLM) leads to a surge of autonomous GUI agents for smartphone, which completes a task triggered by natural language through predicting a sequence of actions o…

cs.CV2023

DocStormer: Revitalizing Multi-Degraded Colored Document Images to Pristine PDF

Chaowei Liu, Jichun Li, Yihua Teng +4

For capturing colored document images, e.g. posters and magazines, it is common that multiple degradations such as shadows, wrinkles, etc., are simultaneously introduced due to ext…