collaborators

13 papers

cs.CV2026

Xiaomi-OCR-0 Technical Report

Xin Chen, Anan Du, Feng Feng +7

Compact OCR-specific vision-language models achieve strong document parsing performance, but often rely on costly supervision and focus primarily on visual-text reconstruction. We…

cs.AI2026

Towards Omni-dimensional GUI Agent Navigation with Masked Trajectory Prediction

Yan Zhang, Pei Fu, Daiqing Wu +8

Graphical User Interface (GUI) Agents autonomously interact with software to fulfill user requests, where GUI navigation stands out as the most critical and challenging capability.…

cs.AI2026

OmniStepBench: Deployment-Aware Agent Evaluation across Modalities and Task Complexity

Yu Liu, Zhilin Liu, Zhiwei Yang +7

As large language models evolve from question-answering systems into general-purpose agents, evaluation must move beyond static answer correctness to assess multimodal perception,…

cs.AI2026

Making Every Tool Call Count: Necessary Tool-Evidence Path Rewards for Agentic Vision-Language Models

Xingming Long, Yu Liu, Zhiwei Yang +7

Modern vision-language models (VLMs) can directly answer many image-grounded questions, yet they often struggle with complex queries requiring fine-grained visual details or extern…

cs.CV2026

Switch-Reasoner: Learn When to Think in Multitask Mixtures via Reinforcement Learning

Yiyang Fang, Pei Fu, Jinjie Li +7

Multimodal Large Language Models (MLLMs) often follow a fixed Think-then-Answer paradigm, which is inefficient in heterogeneous multitask settings because simple inputs may not req…

cs.CV2026

DeltaV: Thinking with Visual State Updates in Unified Large Multimodal Models

Pengjie Wang, Linger Deng, Zujia Zhang +6

Current Unified Large Multimodal Models (ULMMs) support interleaved multimodal reasoning through textual reasoning and intermediate visual states, but typically generate each visua…

cs.AI2026

Xiaomi-GUI-0 Technical Report

Wanxia Cao, Chengzhen Duan, Pei Fu +29

Graphical user interface (GUI) agents build on vision-language models to complete user tasks end-to-end in real applications through interface actions such as tapping, swiping, tex…

cs.CV2026

UniTranslator: A Unified Multi-modal Framework for End-to-end In-Image Machine Translation

Jiahao Lyu, Pei Fu, Zhenhang Li +6

In-Image Machine Translation (IIMT) aims to translate scene text in an image and render the translated text back into the original regions while preserving the overall visual appea…

cs.LG2026

Beyond Binary: Reframing GUI Critique as Continuous Semantic Alignment

Yuchen Sun, Pei Fu, Shaojie Zhang +6

Test-Time Scaling (TTS), which samples multiple candidate actions and ranks them via a Critic Model, has emerged as a promising paradigm for generalist GUI agents. Its efficacy thu…

cs.CV2026

Q-Mask: Query-driven Causal Masks for Text Anchoring in OCR-Oriented Vision-Language Models

Longwei Xu, Feng Feng, Shaojie Zhang +7

Optical Character Recognition (OCR) is increasingly regarded as a foundational capability for modern vision-language models (VLMs), enabling them not only to read text in images bu…

cs.AI2026

GAIA: A Data Flywheel System for Training GUI Test-Time Scaling Critic Models

Shaokang Wang, Pei Fu, Ruoceng Zhang +7

While Large Vision-Language Models (LVLMs) have significantly advanced GUI agents' capabilities in parsing textual instructions, interpreting screen content, and executing tasks, a…

cs.CV2025

BTL-UI: Blink-Think-Link Reasoning Model for GUI Agent

Shaojie Zhang, Ruoceng Zhang, Pei Fu +8

In the field of AI-driven human-GUI interaction automation, while rapid advances in multimodal large language models and reinforcement fine-tuning techniques have yielded remarkabl…

cs.CV2025

Enhancing Trustworthy GUI Grounding via Self-Critiqued Reinforcement Learning

Shaojie Zhang, Pei Fu, Ruoceng Zhang +8

Autonomous graphical user interface (GUI) agents rely on accurate GUI grounding, which maps language instructions to on-screen coordinates, to execute user commands. However, curre…