TraceView organizes agentic APR trajectories into Thought-Action-Result components for semantic labeling and renders them as interactive graphs, with a user study showing improved scanability and understanding for five researchers.
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6 Pith papers cite this work. Polarity classification is still indexing.
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KGR, a constrained LLM for generating keyphrases from crisis SMS, expands a static taxonomy and raises topic-retrieval accuracy from 0.25 to 0.70 while surfacing new themes like immigration problems.
DroidRetriever is a transparent steerable mobile automation system that decomposes information-seeking tasks with multi-LLM agents, navigates apps, synthesizes reports with screenshots, and provides a dashboard for real-time user intervention and privacy pauses.
The IIP model is a cybernetic framework representing humans and AI as coupled control loops whose efficacy depends on input adequacy, reference consonance, and output operativity to guide interface design.
Position paper proposing Model Science as a discipline to systematically analyze AI model behavior beyond benchmarks, drawing analogies from cognitive science, neuroscience, medicine, and agriculture.
Qualitative studies show creatives prefer self-experimentation over structured guidance for GenAI image tools to preserve creative autonomy despite terminology barriers.
citing papers explorer
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Keyphrase Generative Representation of Youth Crisis Conversations Beyond Static Taxonomies
KGR, a constrained LLM for generating keyphrases from crisis SMS, expands a static taxonomy and raises topic-retrieval accuracy from 0.25 to 0.70 while surfacing new themes like immigration problems.
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DroidRetriever: A Transparent and Steerable Automation System for Collaborative Mobile Information Seeking
DroidRetriever is a transparent steerable mobile automation system that decomposes information-seeking tasks with multi-LLM agents, navigates apps, synthesizes reports with screenshots, and provides a dashboard for real-time user intervention and privacy pauses.
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A Model of Integrated Information Processing in Human-AI Interaction
The IIP model is a cybernetic framework representing humans and AI as coupled control loops whose efficacy depends on input adequacy, reference consonance, and output operativity to guide interface design.
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The Case for Model Science: Verify, Explore, Steer, Refine
Position paper proposing Model Science as a discipline to systematically analyze AI model behavior beyond benchmarks, drawing analogies from cognitive science, neuroscience, medicine, and agriculture.
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How Creatives Approach GenAI Image Generation: Tensions Between Structured Guidance, Self-Experimentation, and Creative Autonomy
Qualitative studies show creatives prefer self-experimentation over structured guidance for GenAI image tools to preserve creative autonomy despite terminology barriers.