3 citations · 3 across the 4 of their papers we have counts for
4 papers
Assessing LLM code generation quality through path planning tasks
Wanyi Chen, Meng-Wen Su, Mary L. Cummings
As LLM-generated code grows in popularity, more evaluation is needed to assess the risks of using such tools, especially for safety-critical applications such as path planning. Exi…
To impute or not to impute: How machine learning modelers treat missing data
Wanyi Chen, Mary Cummings
Missing data is prevalent in tabular machine learning (ML) models, and different missing data treatment methods can significantly affect ML model training results. However, little…
Can LLMs plan paths in the real world?
Wanyi Chen, Meng-Wen Su, Nafisa Mehjabin +1
As large language models (LLMs) increasingly integrate into vehicle navigation systems, understanding their path-planning capability is crucial. We tested three LLMs through six re…
A Safe Screening Rule with Bi-level Optimization of Support Vector Machine
Zhiji Yang, Wanyi Chen, Huan Zhang +3
Support vector machine (SVM) has achieved many successes in machine learning, especially for a small sample problem. As a famous extension of the traditional SVM, the support v…