Yi-Hsin Hung — accepted AI-conference papers

2025

Spatial-MLLM: Boosting MLLM Capabilities in Visual-based Spatial Intelligence

Diankun Wu, Fangfu Liu, Yi-Hsin Hung, Yueqi Duan

NeurIPS 2025spotlight

Recent advancements in Multimodal Large Language Models (MLLMs) have significantly enhanced performance on 2D visual tasks. However, improving their spatial intelligence remains a challenge. Existing 3D MLLMs always rely on additional 3D or 2.5D data to incorporate spatial awareness, restricting the…

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2024

AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors

Weize Chen, Yusheng Su, Jingwei Zuo, Cheng Yang, Chenfei Yuan, Chi-Min Chan +10

ICLR 2024poster

Autonomous agents empowered by Large Language Models (LLMs) have undergone significant improvements, enabling them to generalize across a broad spectrum of tasks. However, in real-world scenarios, cooperation among individuals is often required to enhance the efficiency and effectiveness of task acc…

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