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20242026
most citedUnderstand User Opinions of Large Language Models via LLM-Powered In-the-Moment User Experience Interviews

2 citations · 2 across the 4 of their papers we have counts for

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cs.LG2026

Coding LLMs Can Be Harnessed to Learn Interpretable Models from Data

Aditya Kumar, Cassandra A. Cohen, William W. Cohen

Since compact, interpretable classifiers correspond to simple programs, it is natural to ask if LLM-based coding agents can be used to learn interpretable models from data. In this…

cs.LG2026

Learning to Construct Practical Agentic Systems

Aditya Kumar, Zhihan Lei, Jerry Yan +6

Automated design and optimization of agentic LLM-based systems leads to sophisticated systems that substantially improve result quality over off-the-shelf agentic patterns. However…