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Frances Ding

4 accepted papers

2025

Generalists vs. Specialists: Evaluating LLMs on Highly-Constrained Biophysical Sequence Optimization Tasks

ICML 2025poster

Although large language models (LLMs) have shown promise in biomolecule optimization problems, they incur heavy computational costs and struggle to satisfy precise constraints. On the other hand, specialized solvers like LaMBO-2 offer efficiency and fine-grained control but require more domain exper…

Cited by 0SourcePDFScholar
2022

Anticipating Performativity by Predicting from Predictions

NeurIPS 2022accept

Predictions about people, such as their expected educational achievement or their credit risk, can be performative and shape the outcome that they are designed to predict. Understanding the causal effect of predictions on the eventual outcomes is crucial for foreseeing the implications of future pr…

Cited by 40SourcePDFScholar
2021

Grounding Representation Similarity Through Statistical Testing

NeurIPS 2021poster

To understand neural network behavior, recent works quantitatively compare different networks' learned representations using canonical correlation analysis (CCA), centered kernel alignment (CKA), and other dissimilarity measures. Unfortunately, these widely used measures often disagree on fundamenta…

Cited by 99SourcePDFScholar
2021

Retiring Adult: New Datasets for Fair Machine Learning

NeurIPS 2021oral

Although the fairness community has recognized the importance of data, researchers in the area primarily rely on UCI Adult when it comes to tabular data. Derived from a 1994 US Census survey, this dataset has appeared in hundreds of research papers where it served as the basis for the development an…