collaborators

9 papers

cs.CV2026

AlayaVista: Streaming World Modeling from Panoramic States to Perspective Video

Jiaming Tan, Mingliang Zhai, Zhen Li +3

Interactive video world models must maintain broad scene context under camera motion while producing high-fidelity observations with low latency. Existing approaches face a represe…

cs.AI2026

AlayaWorld: Interactive Long-Horizon World Modeling - Full Technical Report (v1.1)

AlayaWorld Team, Kaipeng Zhang, Chuanhao Li +15

This report presents an improved version of AlayaWorld. While the backbone architecture, chunk-wise autoregressive generation scheme, and training data remain unchanged from the pr…

cs.AI2026

AlayaWorld: Interactive Long-Horizon World Modeling -- Full Technical Report

AlayaWorld Team, Kaipeng Zhang, Chuanhao Li +15

Unlike conventional video game development, which relies on labor-intensive pipelines for asset production, animation, physics, and programming, video world models generate interac…

cs.CV2026

From Pixels to States: Rethinking Interactive World Models as Game Engines

Zhen Li, Zian Meng, Shuwei Shi +4

Building interactive worlds that respond coherently to player actions has long been a shared goal of computer graphics, games, and artificial intelligence. Recent video generative…

cs.SE2025

ProSoftArena: Benchmarking Hierarchical Capabilities of Multimodal Agents in Professional Software Environments

Jiaxin Ai, Yukang Feng, Fanrui Zhang +8

Multimodal agents are making rapid progress on general computer-use tasks, yet existing benchmarks remain largely confined to browsers and basic desktop applications, falling short…

cs.AI2025

Multi-Step Reasoning for Embodied Question Answering via Tool Augmentation

Mingliang Zhai, Hansheng Liang, Xiaomeng Fan +6

Embodied Question Answering (EQA) requires agents to explore 3D environments to obtain observations and answer questions related to the scene. Existing methods leverage VLMs to dir…

cs.CV2025

IA-T2I: Internet-Augmented Text-to-Image Generation

Chuanhao Li, Jianwen Sun, Yukang Feng +3

Current text-to-image (T2I) generation models achieve promising results, but they fail on the scenarios where the knowledge implied in the text prompt is uncertain. For example, a…

cs.CL2025

Memory-Centric Embodied Question Answering

Mingliang Zhai, Zhi Gao, Yuwei Wu +1

Embodied Question Answering (EQA) requires agents to autonomously explore and comprehend the environment to answer context-dependent questions. Typically, an EQA framework consists…

cs.CV2025

World knowledge-enhanced Reasoning Using Instruction-guided Interactor in Autonomous Driving

Mingliang Zhai, Cheng Li, Zengyuan Guo +7

The Multi-modal Large Language Models (MLLMs) with extensive world knowledge have revitalized autonomous driving, particularly in reasoning tasks within perceivable regions. Howeve…