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cs.HC2025
Supporting Medicinal Chemists in Iterative Hypothesis Generation for Drug Target Identification
Youngseung Jeon, Christopher Hwang, Ziwen Li +6
While drug discovery is vital for human health, the process remains inefficient. Medicinal chemists must navigate a vast protein space to identify target proteins that meet three c…
cs.HC2025
Flowco: Rethinking Data Analysis in the Age of LLMs
Stephen N. Freund, Brooke Simon, Emery D. Berger +1
Conducting data analysis typically involves authoring code to transform, visualize, analyze, and interpret data. Large language models (LLMs) are now capable of generating such cod…
cs.HC2025
Beyond Code Generation: LLM-supported Exploration of the Program Design Space
J. D. Zamfirescu-Pereira, Eunice Jun, Michael Terry +2
In this work, we explore explicit Large Language Model (LLM)-powered support for the iterative design of computer programs. Program design, like other design activity, is character…