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

1 citations · 1 across the 6 of their papers we have counts for

collaborators

7 papers

cs.CV2026

Visual Parallel Search: Learning to Search High-Resolution Images with Parallel Tile Inspection and Adaptive Zoom

Xijia Tao, Yihua Teng, Xinyu Fu +5

High-resolution visual question answering often fails because a multimodal model does not acquire the small, spatially localized evidence needed to answer a question. Sequential zo…

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.AI2026

SoftSkill: Behavioral Compression for Contextual Adaptation

Xijia Tao, Yihua Teng, Xinyu Fu +6

Natural-language skills let agents reuse task knowledge, yet deploying a long Markdown document makes the model interpret that knowledge anew on every call. We ask whether the beha…

cs.AI2025

MMSearch-Plus: Benchmarking Provenance-Aware Search for Multimodal Browsing Agents

Xijia Tao, Yihua Teng, Xinxing Su +7

Existing multimodal browsing benchmarks often fail to require genuine multimodal reasoning, as many tasks can be solved with text-only heuristics without vision-in-the-loop verific…

cs.AI2025

DocPuzzle: A Process-Aware Benchmark for Evaluating Realistic Long-Context Reasoning Capabilities

Tianyi Zhuang, Chuqiao Kuang, Xiaoguang Li +4

We present DocPuzzle, a rigorously constructed benchmark for evaluating long-context reasoning capabilities in large language models (LLMs). This benchmark comprises 100 expert-lev…

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…