5 papers
MODAIC: Coordinated Asynchrony for Decentralized Multimodal Learning
Yanhang Shi, Xiaoyu Wang, Houwei Cao +2
Multimodal decentralized learning enables collaboration across heterogeneous edge devices without sharing raw data, but differing modality sets create coupled computation and commu…
SPICE: Synergy and Partial Information Based Curriculum Evolution
Ankush Pratap Singh, Houwei Cao, Yong Liu
Multimodal learning exploits complementary information across heterogeneous modalities. The informativeness of each modality can vary widely across samples and training stages. Exi…
PID-Guided Partial Alignment for Multimodal Decentralized Federated Learning
Yanhang Shi, Xiaoyu Wang, Houwei Cao +2
Multimodal decentralized federated learning (DFL) must support collaboration among agents that hold different modality subsets and often different model components, while operating…
Doc-Researcher: A Unified System for Multimodal Document Parsing and Deep Research
Kuicai Dong, Shurui Huang, Fangda Ye +9
Deep Research systems have revolutionized how LLMs solve complex questions through iterative reasoning and evidence gathering. However, current systems remain fundamentally constra…
CHUCKLE -- When Humans Teach AI To Learn Emotions The Easy Way
Ankush Pratap Singh, Houwei Cao, Yong Liu
Curriculum learning (CL) structures training from simple to complex samples, facilitating progressive learning. However, existing CL approaches for emotion recognition often rely o…