3 papers
cs.CV2026
Test-time Scaling over Perception: Resolving the Grounding Paradox in Thinking with Images
Zheng Jiang, Yiming Chen, Nan He +4
Recent multimodal large language models (MLLMs) support Thinking with Images, invoking visual tools such as zooming and cropping to inspect image regions during inference. Yet thes…
cs.CR2026
ADAM: A Systematic Data Extraction Attack on Agent Memory via Adaptive Querying
Xingyu Lyu, Jianfeng He, Ning Wang +5
Large Language Model (LLM) agents have achieved rapid adoption and demonstrated remarkable capabilities across a wide range of applications. To improve reasoning and task execution…
cs.LG2026
SubFLOT: Submodel Extraction for Efficient and Personalized Federated Learning via Optimal Transport
Zheng Jiang, Nan He, Yiming Chen +1
Federated Learning (FL) enables collaborative model training while preserving data privacy, but its practical deployment is hampered by system and statistical heterogeneity. While…