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cs.HC2026

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.HC2026

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

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…