From the 1 of 10 linked papers with an AI index.
10 papers
Mage-VL: An Efficient Codec-Native Streaming Multimodal Foundation Model
Senqiao Yang, Kaichen Zhang, Zhaoyang Jia +20
Standard vision-language models (VLMs) suffer from Moravec's paradox: they excel at complex offline visual reasoning but struggle with simple streaming perception tasks and process…
Coordinated Networking for On-Device Agent-Augmented Real-Time Communication
Goodsol Lee, Juheon Yi, Jinglu Wang +3
AI agents are enabling a new paradigm of agent-augmented real-time communication (RTC), where humans focus on high-level collaboration, while agents autonomously retrieve, analyze,…
Beyond the Single Camera: Agentic Multi-View Reasoning in Sports Video Understanding
Kerui Chen, Jinglu Wang, Xiaoyi Zhang +1
The paper introduces SportMV-Bench, a new benchmark for evaluating multimodal large language models on multi‑camera sports videos, and proposes SportMV-Agent, an agentic system tha…
Multi-agent Framework for Time-Sensitive Complementary Collaboration in Minecraft
Juheon Yi, Jinglu Wang, Xiaoyi Zhang +1
We present TickingCollabBench, a Minecraft-based multi-agent benchmark for a novel class of time-sensitive complementary collaboration tasks. Our benchmark reflects four core chara…
Scaling Video Understanding via Compact Latent Multi-Agent Collaboration
Kerui Chen, Jinglu Wang, Jianrong Zhang +3
Multi-modal large language models (MLLMs) advance vision language understanding but face inherent limitations in long-video tasks due to bounded perception context budgets. Existin…
A Decade-Scale Benchmark Evaluating LLMs' Clinical Practice Guidelines Detection and Adherence in Multi-turn Conversations
Andong Tan, Shuyu Dai, Jinglu Wang +7
Clinical practice guidelines (CPGs) play a pivotal role in ensuring evidence-based decision-making and improving patient outcomes. While Large Language Models (LLMs) are increasing…