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JungHo Jung

2 accepted papers

2025

ESCA: Contextualizing Embodied Agents via Scene-Graph Generation

NeurIPS 2025spotlight

Multi-modal large language models (MLLMs) are making rapid progress toward general-purpose embodied agents. However, existing MLLMs do not reliably capture fine-grained links between low-level visual features and high-level textual semantics, leading to weak grounding and inaccurate perception. To o…

Cited by 0SourcecodeScholar
2024

Transformers Get Stable: An End-to-End Signal Propagation Theory for Language Models

ICML 2024poster

In spite of their huge success, transformer models remain difficult to scale in depth. In this work, we develop a unified signal propagation theory and provide formulae that govern the moments of the forward and backward signal through the transformer model. Our framework can be used to understand a…