106 citations · 158 across the 10 of their papers we have counts for
5 papers · 1 filter
LUNA: A Model-Based Universal Analysis Framework for Large Language Models
Da Song, Xuan Xie, Jiayang Song +4
Over the past decade, Artificial Intelligence (AI) has had great success recently and is being used in a wide range of academic and industrial fields. More recently, LLMs have made…
Do Large Language Models Pay Similar Attention Like Human Programmers When Generating Code?
Bonan Kou, Shengmai Chen, Zhijie Wang +2
Large Language Models (LLMs) have recently been widely used for code generation. Due to the complexity and opacity of LLMs, little is known about how these models generate code. We…
Bi-orthogonal fPINN: A physics-informed neural network method for solving time-dependent stochastic fractional PDEs
Lei Ma, Rong xin Li, Fanhai Zeng +2
Fractional partial differential equations (FPDEs) can effectively represent anomalous transport and nonlocal interactions. However, inherent uncertainties arise naturally in real a…
DeepLens: Interactive Out-of-distribution Data Detection in NLP Models
Da Song, Zhijie Wang, Yuheng Huang +2
Machine Learning (ML) has been widely used in Natural Language Processing (NLP) applications. A fundamental assumption in ML is that training data and real-world data should follow…
DeepSeer: Interactive RNN Explanation and Debugging via State Abstraction
Zhijie Wang, Yuheng Huang, Da Song +2
Recurrent Neural Networks (RNNs) have been widely used in Natural Language Processing (NLP) tasks given its superior performance on processing sequential data. However, it is chall…