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Paper Title	Authors	Research Topics	Paper Database	Year
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	JZ
	PV
	ZG
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emoji_events	KG
	HD
	PV
emoji_events	PV
	ZG
emoji_events	IA
emoji_events	KG
	SG
	LY
	HH
	JH
emoji_events	LY
emoji_events	AR
	TZ
	TZ

Papers

A Paradigm for Creative Ownership

How Notations Evolve: A Historical Analysis with Implications for Supporting User-Defined Abstractions

Semantic Commit: Helping Users Update Intent Specifications for AI Memory at Scale

AbstractExplorer: Leveraging Structure-Mapping Theory to Enhance Comparative Close Reading at Scale

Learn AI Coding at CodeNow

Supporting Co-Adaptive Machine Teaching through Human Concept Learning and Cognitive Theories

Creative Writers’ Attitudes on Writing as Training Data for Large Language Models

CorpusStudio: Surfacing Emergent Patterns In A Corpus Of Prior Work While Writing

Imagining a Future of Designing with AI: Dynamic Grounding, Constructive Negotiation, and Sustainable Motivation

DynaVis: Dynamically Synthesized UI Widgets for Visualization Editing

An AI-Resilient Text Rendering Technique for Reading and Skimming Documents

ChainForge: A Visual Toolkit for Prompt Engineering and LLM Hypothesis Testing

Supporting Sensemaking of Large Language Model Outputs at Scale

PaTAT: Human-AI Collaborative Qualitative Coding with Explainable Interactive Rule Synthesis

Concept-Labeled Examples for Library Comparison

A Comparative Evaluation of Interventions Against Misinformation: Augmenting the WHO Checklist

Assuage: Assembly Synthesis Using A Guided Exploration

Visualizing Examples of Deep Neural Networks at Scale

Evaluating the Interpretability of Generative Models by Interactive Reconstruction

Interpretable Program Synthesis

Interactive Program Synthesis by Augmented Examples

A Paradigm for Creative Ownership

How Notations Evolve: A Historical Analysis with Implications for Supporting User-Defined Abstractions

Semantic Commit: Helping Users Update Intent Specifications for AI Memory at Scale

AbstractExplorer: Leveraging Structure-Mapping Theory to Enhance Comparative Close Reading at Scale

Learn AI Coding at CodeNow

Supporting Co-Adaptive Machine Teaching through Human Concept Learning and Cognitive Theories

Creative Writers’ Attitudes on Writing as Training Data for Large Language Models

CorpusStudio: Surfacing Emergent Patterns In A Corpus Of Prior Work While Writing

Imagining a Future of Designing with AI: Dynamic Grounding, Constructive Negotiation, and Sustainable Motivation

DynaVis: Dynamically Synthesized UI Widgets for Visualization Editing

An AI-Resilient Text Rendering Technique for Reading and Skimming Documents

ChainForge: A Visual Toolkit for Prompt Engineering and LLM Hypothesis Testing

Supporting Sensemaking of Large Language Model Outputs at Scale

PaTAT: Human-AI Collaborative Qualitative Coding with Explainable Interactive Rule Synthesis

Concept-Labeled Examples for Library Comparison

A Comparative Evaluation of Interventions Against Misinformation: Augmenting the WHO Checklist

Assuage: Assembly Synthesis Using A Guided Exploration

Visualizing Examples of Deep Neural Networks at Scale

Evaluating the Interpretability of Generative Models by Interactive Reconstruction

Interpretable Program Synthesis

Interactive Program Synthesis by Augmented Examples

Papers

A Paradigm for Creative Ownership

How Notations Evolve: A Historical Analysis with Implications for Supporting User-Defined Abstractions

Semantic Commit: Helping Users Update Intent Specifications for AI Memory at Scale

AbstractExplorer: Leveraging Structure-Mapping Theory to Enhance Comparative Close Reading at Scale

Learn AI Coding at CodeNow

Supporting Co-Adaptive Machine Teaching through Human Concept Learning and Cognitive Theories

Creative Writers’ Attitudes on Writing as Training Data for Large Language Models

CorpusStudio: Surfacing Emergent Patterns In A Corpus Of Prior Work While Writing

Imagining a Future of Designing with AI: Dynamic Grounding, Constructive Negotiation, and Sustainable Motivation

DynaVis: Dynamically Synthesized UI Widgets for Visualization Editing

An AI-Resilient Text Rendering Technique for Reading and Skimming Documents

ChainForge: A Visual Toolkit for Prompt Engineering and LLM Hypothesis Testing

Supporting Sensemaking of Large Language Model Outputs at Scale

PaTAT: Human-AI Collaborative Qualitative Coding with Explainable Interactive Rule Synthesis

Concept-Labeled Examples for Library Comparison

A Comparative Evaluation of Interventions Against Misinformation: Augmenting the WHO Checklist

Assuage: Assembly Synthesis Using A Guided Exploration

Visualizing Examples of Deep Neural Networks at Scale

Evaluating the Interpretability of Generative Models by Interactive Reconstruction

Interpretable Program Synthesis

Interactive Program Synthesis by Augmented Examples

A Paradigm for Creative Ownership

How Notations Evolve: A Historical Analysis with Implications for Supporting User-Defined Abstractions

Semantic Commit: Helping Users Update Intent Specifications for AI Memory at Scale

AbstractExplorer: Leveraging Structure-Mapping Theory to Enhance Comparative Close Reading at Scale

Learn AI Coding at CodeNow

Supporting Co-Adaptive Machine Teaching through Human Concept Learning and Cognitive Theories

Creative Writers’ Attitudes on Writing as Training Data for Large Language Models

CorpusStudio: Surfacing Emergent Patterns In A Corpus Of Prior Work While Writing

Imagining a Future of Designing with AI: Dynamic Grounding, Constructive Negotiation, and Sustainable Motivation

DynaVis: Dynamically Synthesized UI Widgets for Visualization Editing

An AI-Resilient Text Rendering Technique for Reading and Skimming Documents

ChainForge: A Visual Toolkit for Prompt Engineering and LLM Hypothesis Testing

Supporting Sensemaking of Large Language Model Outputs at Scale

PaTAT: Human-AI Collaborative Qualitative Coding with Explainable Interactive Rule Synthesis

Concept-Labeled Examples for Library Comparison