2 citations · 3 across the 5 of their papers we have counts for
6 papers
Bridging Natural Language and Interactive What-If Interfaces via LLM-Generated Declarative Specifications
Sneha Gathani, Sirui Zeng, Diya Patel +5
What-if analysis (WIA) lets users explore hypothetical scenarios by adjusting parameters, applying constraints, and scoping data through interactive interfaces. Current tools fall…
PRAXA: A Grammar for What-If Analysis
Sneha Gathani, Kevin Li, Raghav Thind +5
What-if analysis is widely used to explore hypothetical scenarios and evaluate alternative pathways to desired results. However, current approaches are fragmented: systems implemen…
What-if Analysis for Business Professionals: Current Practices and Future Opportunities
Sneha Gathani, Zhicheng Liu, Peter J. Haas +1
What-if analysis (WIA) is essential for data-driven decision-making, allowing users to assess how changes in variables impact outcomes and explore alternative scenarios. Existing W…
A Grammar-Based Approach for Applying Visualization Taxonomies to Interaction Logs
Sneha Gathani, Shayan Monadjemi, Alvitta Ottley +1
Researchers collect large amounts of user interaction data with the goal of mapping user's workflows and behaviors to their higher-level motivations, intuitions, and goals. Althoug…
Making Table Understanding Work in Practice
Madelon Hulsebos, Sneha Gathani, James Gale +3
Understanding the semantics of tables at scale is crucial for tasks like data integration, preparation, and search. Table understanding methods aim at detecting a table's topic, se…
Augmenting Decision Making via Interactive What-If Analysis
Sneha Gathani, Madelon Hulsebos, James Gale +2
The fundamental goal of business data analysis is to improve business decisions using data. Business users often make decisions to achieve key performance indicators (KPIs) such as…