44 citations · 91 across the 7 of their papers we have counts for
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cs.SE2022★ 2 cited
ObSynth: An Interactive Synthesis System for Generating Object Models from Natural Language Specifications
Alex Gu, Tamara Mitrovska, Daniela Velez +2
We introduce ObSynth, an interactive system leveraging the domain knowledge embedded in large language models (LLMs) to help users design object models from high level natural lang…
cs.LG2022★ 2 cited
Min-Max Bilevel Multi-objective Optimization with Applications in Machine Learning
Alex Gu, Songtao Lu, Parikshit Ram +1
We consider a generic min-max multi-objective bilevel optimization problem with applications in robust machine learning such as representation learning and hyperparameter optimizat…
cs.LG2022★ 44 cited
The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective
Satyapriya Krishna, Tessa Han, Alex Gu +3
As various post hoc explanation methods are increasingly being leveraged to explain complex models in high-stakes settings, it becomes critical to develop a deeper understanding of…