3 papers
cs.CV2026
AURA: Always-On Understanding and Real-Time Assistance via Video Streams
Xudong Lu, Yang Bo, Jinpeng Chen +9
Video Large Language Models (VideoLLMs) have achieved strong performance on many video understanding tasks, but most existing systems remain offline and are not well-suited for liv…
cs.CV2026
PhoStream: Benchmarking Real-World Streaming for Omnimodal Assistants in Mobile Scenarios
Xudong Lu, Huankang Guan, Yang Bo +10
Multimodal Large Language Models excel at offline audio-visual understanding, but their ability to serve as mobile assistants in continuous real-world streams remains underexplored…
cs.SE2025
SCoGen: Scenario-Centric Graph-Based Synthesis of Real-World Code Problems
Xifeng Yao, Dongyu Lang, Wu Zhang +8
Significant advancements have been made in the capabilities of code large language models, leading to their rapid adoption and application across a wide range of domains. However,…