1 citations · 4 across the 18 of their papers we have counts for
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cs.CL2024
Predictable Emergent Abilities of LLMs: Proxy Tasks Are All You Need
Bo-Wen Zhang, Yan Yan, Boxiang Yang +2
While scaling laws optimize training configurations for large language models (LLMs) through experiments on smaller or early-stage models, they fail to predict emergent abilities d…
cs.AI2024
MCCoder: Streamlining Motion Control with LLM-Assisted Code Generation and Rigorous Verification
Yin Li, Liangwei Wang, Shiyuan Piao +4
Large Language Models (LLMs) have demonstrated significant potential in code generation. However, in the factory automation sector, particularly motion control, manual programming,…
cs.CV2024★ 1 cited
Fine-Grained Prototypes Distillation for Few-Shot Object Detection
Zichen Wang, Bo Yang, Haonan Yue +1
Few-shot object detection (FSOD) aims at extending a generic detector for novel object detection with only a few training examples. It attracts great concerns recently due to the p…