activity
20242026
collaborators

5 papers

cs.CV2026

CLBench-V: Evaluating Multimodal Context Learning from Grounding to Knowledge Acquisition

Lai Wei, Chengqi Li, Jiapeng Li +3

Real-world tasks often require models to learn from task-specific context rather than relying only on pre-trained knowledge. While recent work has highlighted this capability as co…

cs.AI2026

SearchEyes: Towards Frontier Multimodal Deep Search Intelligence via Search World Simulation

Zhengbo Jiao, Yiming Cheng, Yilei Jiang +15

Training multimodal search agents to perform multi-hop reasoning remains challenging due to a fundamental structural disconnect: existing pipelines construct training data, search…

cs.AI2026

DiagramNet: An End-to-End Recognition Framework and Dataset for Non-Standard System-Level Diagrams

Jincheng Lou, Ruohan Xu, Jiapeng Li +6

System-level diagrams encode the architectural blueprint of chip design, specifying module functions, dataflows, and interface protocols. However, non-standardized symbols and the…

cs.CV2025

R^3-VQA: "Read the Room" by Video Social Reasoning

Lixing Niu, Jiapeng Li, Xingping Yu +6

"Read the room" is a significant social reasoning capability in human daily life. Humans can infer others' mental states from subtle social cues. Previous social reasoning tasks an…

cs.AI2024

Evaluating and Modeling Social Intelligence: A Comparative Study of Human and AI Capabilities

Junqi Wang, Chunhui Zhang, Jiapeng Li +6

Facing the current debate on whether Large Language Models (LLMs) attain near-human intelligence levels (Mitchell & Krakauer, 2023; Bubeck et al., 2023; Kosinski, 2023; Shiffrin &…