PRAXA is a compositional grammar for what-if analysis with data, model, and interaction primitives, encoded in PSL, shown to reconstruct existing workflows and enable new multi-step compositions.
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LLM-generated declarative specifications bridge natural language what-if questions to interactive interfaces, with benchmarks showing improvement from 52% to 80% success rate after targeted repairs.
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PRAXA: A Grammar for What-If Analysis
PRAXA is a compositional grammar for what-if analysis with data, model, and interaction primitives, encoded in PSL, shown to reconstruct existing workflows and enable new multi-step compositions.
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Bridging Natural Language and Interactive What-If Interfaces via LLM-Generated Declarative Specification
LLM-generated declarative specifications bridge natural language what-if questions to interactive interfaces, with benchmarks showing improvement from 52% to 80% success rate after targeted repairs.