most citedBeyond Code Generation: LLM-supported Exploration of the Program Design Space

29 citations · 29 across the 6 of their papers we have counts for

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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

PriorWeaver: Prior Elicitation via Iterative Dataset Construction

Yuwei Xiao, Shuai Ma, Antti Oulasvirta +1

In Bayesian analysis, prior elicitation, or the process of facilitating the expression of one's beliefs to inform statistical modeling, is an essential yet challenging step. Analys…

cs.HC2025

PLanet: Formalizing and Analyzing Assignment Procedures in the Design of Experiments

London Bielicke, Anna Zhang, Shruti Tyagi +3

Experimental designs reflect assumptions about variable relationships that determine what causal queries researchers can answer through the experiment. Accounting for and communica…

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★ 29 cited

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…