Presents OpenRoundup, a client-only browser system for multi-table consolidation via eager assembly and Stack/Pack operations, evaluated by replicating 17 journalist workflows and a deployment study with four professionals.
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems , pages =
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BDIViz is a visual analytics system that uses an ensemble of matching algorithms plus LLM validation and interactive heatmaps to improve accuracy and reduce time in biomedical schema matching.
ReforMe is an interactive document digitization system using layout-aware propagation to generalize user corrections from natural language or direct edits, shown to improve efficiency in a 12-user study on real documents.
DataEvolver introduces a multi-level self-evolving system for automatic data preparation that improves LLM performance by an average of 10% over original data on seven benchmarks.
citing papers explorer
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OpenRoundup: Multi-Table Data Wrangling Through Interactive Visualization
Presents OpenRoundup, a client-only browser system for multi-table consolidation via eager assembly and Stack/Pack operations, evaluated by replicating 17 journalist workflows and a deployment study with four professionals.
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BDIViz: An Interactive Visualization System for Biomedical Schema Matching with LLM-Powered Validation
BDIViz is a visual analytics system that uses an ensemble of matching algorithms plus LLM validation and interactive heatmaps to improve accuracy and reduce time in biomedical schema matching.
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ReforMe: Re-Shaping Documents with Contextual Prompting and Layout-Aware Propagation
ReforMe is an interactive document digitization system using layout-aware propagation to generalize user corrections from natural language or direct edits, shown to improve efficiency in a 12-user study on real documents.
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DataEvolver: Automatic Data Preparation for Large Language Models through Multi-Level Self-Evolving
DataEvolver introduces a multi-level self-evolving system for automatic data preparation that improves LLM performance by an average of 10% over original data on seven benchmarks.