2 papers
cs.LG2026
BoostLLM: Boosting-inspired LLM Fine-tuning for Few-shot Tabular Classification
Yi-Siang Wang, Kuan-Yu Chen, Yu-Chen Den +1
Large language models (LLMs) have recently been adapted to tabular prediction by serializing structured features into natural language, but their performance in low-data regimes re…
cs.LG2024
DOFEN: Deep Oblivious Forest ENsemble
Kuan-Yu Chen, Ping-Han Chiang, Hsin-Rung Chou +2
Deep Neural Networks (DNNs) have revolutionized artificial intelligence, achieving impressive results on diverse data types, including images, videos, and texts. However, DNNs stil…