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

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

collaborators

6 papers

cs.RO2026

LH-AVLN: A Benchmark for Long-Horizon Audio-Visual-Language Navigation

Rufeng Chen, Yue Chang, Zili Shao +5

Embodied navigation is moving toward long-horizon missions, yet existing long-horizon benchmarks are largely acoustically silent, and audio-visual navigation tasks typically focus…

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…

cs.RO2026

PSG-Nav: Probabilistic Scene Graph Navigation via Multiverse Decision Making

Rufeng Chen, Yue Chang, Xiaqiang Tang +2

Open-vocabulary navigation requires embodied agents to manage significant perception uncertainty stemming from semantic ambiguity and model errors. However, most existing works set…

cs.CL2026★ 2 cited

ERNIE 5.0 Technical Report

Haifeng Wang, Hua Wu, Tian Wu +432

In this report, we introduce ERNIE 5.0, a natively autoregressive foundation model desinged for unified multimodal understanding and generation across text, image, video, and audio…

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…