4 citations · 10 across the 6 of their papers we have counts for
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cs.LG2024★ 1 cited
Generalizing Graph Transformers Across Diverse Graphs and Tasks via Pre-training
Yufei He, Zhenyu Hou, Yukuo Cen +5
Graph pre-training has been concentrated on graph-level tasks involving small graphs (e.g., molecular graphs) or learning node representations on a fixed graph. Extending graph pre…
cs.CV2024★ 3 cited
Seeing is Believing: Mitigating Hallucination in Large Vision-Language Models via CLIP-Guided Decoding
Ailin Deng, Zhirui Chen, Bryan Hooi
Large Vision-Language Models (LVLMs) are susceptible to object hallucinations, an issue in which their generated text contains non-existent objects, greatly limiting their reliabil…