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cs.LG2025
Knowledge Integration for Physics-informed Symbolic Regression Using Pre-trained Large Language Models
Bilge Taskin, Wenxiong Xie, Teddy Lazebnik
Symbolic regression (SR) has emerged as a powerful tool for automated scientific discovery, enabling the derivation of governing equations from experimental data. A growing body of…
cs.LG2024
How Out-of-Distribution Detection Learning Theory Enhances Transformer: Learnability and Reliability
Yijin Zhou, Yutang Ge, Wenyuan Xie +3
Transformers excel in natural language processing and computer vision tasks. However, they still face challenges in generalizing to Out-of-Distribution (OOD) datasets, i.e. data wh…