3 papers
cs.AI2026
Fundamental Limitation in Explaining AI
Atsushi Suzuki, Jing Wang
While large-scale models such as LLMs and diffusion models have achieved practical success, public institutions have emphasized the importance of explainability in AI. Existing met…
stat.ML2026
Overfitting has a limitation: a model-independent generalization gap bound based on Rényi entropy
Atsushi Suzuki, Jing Wang
Will further scaling up of machine learning models continue to bring success? A significant challenge in answering this question lies in understanding generalization gap, which is…
cs.CL2024
SemiKong: Curating, Training, and Evaluating A Semiconductor Industry-Specific Large Language Model
Christopher Nguyen, William Nguyen, Atsushi Suzuki +10
Large Language Models (LLMs) have demonstrated the potential to address some issues within the semiconductor industry. However, they are often general-purpose models that lack the…