68 citations · 78 across the 13 of their papers we have counts for
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cs.AI2024
U-shaped and Inverted-U Scaling behind Emergent Abilities of Large Language Models
Tung-Yu Wu, Pei-Yu Lo
Large language models (LLMs) have been shown to exhibit emergent abilities in some downstream tasks, where model performance stagnates at first and then improves sharply and unpred…
cs.SD2024★ 1 cited
AND: Audio Network Dissection for Interpreting Deep Acoustic Models
Tung-Yu Wu, Yu-Xiang Lin, Tsui-Wei Weng
Neuron-level interpretations aim to explain network behaviors and properties by investigating neurons responsive to specific perceptual or structural input patterns. Although there…
cs.CV2024★ 1 cited
Data-Efficient 3D Visual Grounding via Order-Aware Referring
Tung-Yu Wu, Sheng-Yu Huang, Yu-Chiang Frank Wang
3D visual grounding aims to identify the target object within a 3D point cloud scene referred to by a natural language description. Previous works usually require significant data…