collaborators

25 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.CL2026

Informed Masking: Structure-Aware Perturbation for Reinforcement Learning in Diffusion Large Language Models

Xiaoyi Yu, Enver Sangineto, Pei Fu +6

Diffusion Large Language Models (dLLMs) have emerged as an efficient alternative to autoregressive models, yet aligning them via Reinforcement Learning (RL) requires likelihood sur…

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.CL2026

Reference-Free Post-Training of Open Large Language Models for Multilingual Machine Translation

Chris Han, Pengzhi Gao, Pei Fu +1

We study reference-free post-training for multilingual machine translation with open large language models. Starting from the supervised-finetuned MiLMMT-46-v0.1 models, we apply G…

cs.CL2026

UI-MOPD: Multi-Platform On-Policy Distillation for Unified GUI Agents

Niu Lian, Tongbo Chen, Zhehao Yu +8

Recent advances in multimodal foundation models and agent systems have driven GUI agents from single-platform task execution toward cross-platform interaction. However, unified mul…

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.IR2026

ELVA: Exploring Ranking-Driven Universal Multimodal Retrieval

Yuhan Liu, Pei Fu, Hang Li +8

Leveraging Multimodal Large Language Models (MLLMs) via contrastive learning has become a mainstream paradigm for improving the performance of Universal Multimodal Retrieval (UMR).…

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.AI2026

Teaching the Way, Not the Answer: Privileged Tutoring Distillation for Multimodal Policy Optimization

Shizhe Xiang, Ke An, Wenlong Yu +5

Recent post-training methods, particularly Reinforcement Learning with Verifiable Rewards (RLVR), have significantly enhanced the reasoning ability of Large Vision-Language Models…

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

StreamPro: From Reactive Perception to Proactive Decision-Making in Streaming Video

Ao Li, Zihan Xiao, Zihao Yue +7

Proactive streaming video understanding requires models to continuously process video streams and decide when to respond, rather than merely what to respond. This naturally introdu…

cs.AI2026

Shaping Schema via Language Representation as the Next Frontier for LLM Intelligence Expanding

Zhiqin Yang, Yuhan Liu, Jingwen Fu +4

Although natural language is the default medium for Large Language Models (LLMs), its limited expressive capacity creates a profound bottleneck for complex problem-solving. While r…

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.CL2026

Doc-V*:Coarse-to-Fine Interactive Visual Reasoning for Multi-Page Document VQA

Yuanlei Zheng, Pei Fu, Hang Li +9

Multi-page Document Visual Question Answering requires reasoning over semantics, layouts, and visual elements in long, visually dense documents. Existing OCR-free methods face a tr…

cs.CV2026

PatchCue: Enhancing Vision-Language Model Reasoning with Patch-Based Visual Cues

Yukun Qi, Pei Fu, Hang Li +5

Vision-Language Models (VLMs) have achieved remarkable progress on a wide range of challenging multimodal understanding and reasoning tasks. However, existing reasoning paradigms,…

cs.AI2026

EMO-R3: Reflective Reinforcement Learning for Emotional Reasoning in Multimodal Large Language Models

Yiyang Fang, Wenke Huang, Pei Fu +5

Multimodal Large Language Models (MLLMs) have shown remarkable progress in visual reasoning and understanding tasks but still struggle to capture the complexity and subjectivity of…

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

Xiaomi MiMo-VL-Miloco Technical Report

Jiaze Li, Jingyang Chen, Yuxun Qu +9

We open-source MiMo-VL-Miloco-7B and its quantized variant MiMo-VL-Miloco-7B-GGUF, a pair of home-centric vision-language models that achieve strong performance on both home-scenar…

cs.CL2025

AutoLink: Autonomous Schema Exploration and Expansion for Scalable Schema Linking in Text-to-SQL at Scale

Ziyang Wang, Yuanlei Zheng, Zhenbiao Cao +6

For industrial-scale text-to-SQL, supplying the entire database schema to Large Language Models (LLMs) is impractical due to context window limits and irrelevant noise. Schema link…

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…