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From the 1 of 11 linked papers with an AI index.

collaborators

11 papers

cs.AI2026

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,…

cs.CV2026

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…

cs.CV2026

Closed-Loop Triplet Synergistic Generation for Long-Form Video

Xinlei Yin, Xiulian Peng, Xiao Li +2

Multi-shot long-form video generation remains challenging due to identity drift and compounding inconsistencies across shots. While storyboard-driven pipelines improve controllabil…

cs.AI2026

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…

cs.AI2026

CARE: Towards Clinical Accountability in Multi-Modal Medical Reasoning with an Evidence-Grounded Agentic Framework

Yuexi Du, Jinglu Wang, Shujie Liu +2

Large visual language models (VLMs) have shown strong multi-modal medical reasoning ability, but most operate as end-to-end black boxes, diverging from clinicians' evidence-based,…

cs.LG2026

MMedAgent-RL: Optimizing Multi-Agent Collaboration for Multimodal Medical Reasoning

Peng Xia, Jinglu Wang, Yibo Peng +10

Medical Large Vision-Language Models (Med-LVLMs) have shown strong potential in multimodal diagnostic tasks. However, existing single-agent models struggle to generalize across div…