1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.LG2025
General Information Metrics for Improving AI Model Training Efficiency
Jianfeng Xu, Congcong Liu, Xiaoying Tan +8
To address the growing size of AI model training data and the lack of a universal data selection methodology-factors that significantly drive up training costs -- this paper presen…
cs.CL2024
Causality for Large Language Models
Anpeng Wu, Kun Kuang, Minqin Zhu +7
Recent breakthroughs in artificial intelligence have driven a paradigm shift, where large language models (LLMs) with billions or trillions of parameters are trained on vast datase…
cs.CV2024★ 1 cited
MetaCoCo: A New Few-Shot Classification Benchmark with Spurious Correlation
Min Zhang, Haoxuan Li, Fei Wu +1
Out-of-distribution (OOD) problems in few-shot classification (FSC) occur when novel classes sampled from testing distributions differ from base classes drawn from training distrib…