most citedA Unified Hallucination Mitigation Framework for Large Vision-Language Models

2 citations · 4 across the 6 of their papers we have counts for

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cs.CV2026

Just-In-Time Scene Graph Growth: Combating Perceptual Saturation in Long-Horizon Robotics

Yue Chang, Rufeng Chen, Yifan Tian +7

While 3D Scene Graphs (3DSGs) provide crucial structured representations for embodied agents, conventional Ahead-of-Time, build-everything-then-filter pipelines conflict with the r…

cs.CV2026

RAG-3DSG: Enhancing 3D Scene Graphs with Re-Shot Guided Retrieval-Augmented Generation

Yue Chang, Rufeng Chen, Zhaofan Zhang +3

Open-vocabulary 3D Scene Graph (3DSG) can enhance various downstream tasks in robotics by leveraging structured semantic representations, yet current 3DSG construction methods suff…

cs.CV2024★ 2 cited

A Unified Hallucination Mitigation Framework for Large Vision-Language Models

Yue Chang, Liqiang Jing, Xiaopeng Zhang +1

Hallucination is a common problem for Large Vision-Language Models (LVLMs) with long generations which is difficult to eradicate. The generation with hallucinations is partially in…