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This paper explores the potential of AI-powered tools to reshape data analysis, focusing on design considerations and challenges.
Direct manipulation interfaces
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Boba: Authoring and visualizing multiverse analyses
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Plotqa: Reasoning over scientific plots
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Nl4dv: A toolkit for generating analytic specifications for data visualization from natural language queries
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Chart-to-text: Generating natural language descriptions for charts by adapting the transformer model
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Veridical data science
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Evaluating large language models trained on code
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What makes good in-context examples for gpt-
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Datamations: Animated explanations of data analysis pipelines
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Collecting and characterizing natural language utterances for specifying data visualizations
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Leveraging text-chart links to support authoring of data-driven articles with vizflow
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Chartstory: Automated partitioning, layout, and captioning of charts into comic-style narratives
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Understanding how designers find and use data visualization examples
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Codeexp: Explanatory code document generation
Cui, H., Wang, C., Huang, J., Inala, J. P., Mytkowicz, T., Wang, B., Gao, J., and Duan, N · 2022
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Ganslider: How users control generative models for images using multiple sliders with and without feedforward information
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Table pre-training: A survey on model architectures, pre-training objectives, and downstream tasks
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Fault-aware neural code rankers
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Atlas: Few-shot learning with retrieval augmented language models
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Tisane: Authoring statistical models via formal reasoning from conceptual and data relationships
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Toward trustworthy neural program synthesis
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Chartqa: A benchmark for question answering about charts with visual and logical reasoning
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Can foundation models wrangle your data?
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Is self-repair a silver bullet for code generation?
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Promptinfuser: Bringing user interface mock-ups to life with large language models
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Towards natural language interfaces for data visualization: A survey
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MultiVerS: Improving scientific claim verification with weak supervision and full-document context
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Interpretable medical diagnostics with structured data extraction by large language models
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Sparks of artificial general intelligence: Early experiments with gpt-4, 2023
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Onyx: Assisting users in teaching natural language interfaces through multi-modal interactive task learning
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Doom or deliciousness: Challenges and opportunities for visualization in the age of generative models
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Datavinci: Learning syntactic and semantic string repairs
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Llama: Open and efficient foundation language models
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Nl2sql is a solved problem… not!
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