Author

Marissa Radensky

Observed name: Radensky, Marissa

Institution: University of Washington

Observed institutions: Amherst College, University of Washington, Allen Institute for Artificial Intelligence

ORCID: 0000-0002-5045-8269

Observed ORCID: 0000-0002-5045-8269

OpenAlex ID: A5064749355

The Story in the Notebook

2018 · Mary Beth Kery, Marissa Radensky, et al. · CHI Conference on Human Factors in Computing Systems · 217

Bursting Scientific Filter Bubbles: Boosting Innovation via Novel Author Discovery

2022 · Jason Portenoy, Marissa Radensky, et al. · CHI Conference on Human Factors in Computing Systems · 30

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Exploring the Role of Local and Global Explanations in Recommender Systems

2022 · Marissa Radensky, Doug Downey, et al. · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · 23

“I Think You Might Like This”: Exploring Effects of Confidence Signal Patterns on Trust in and Reliance on Conversational Recommender Systems

2023 · Marissa Radensky, Julie Anne Séguin, et al. · ACM Conference on Fairness, Accountability, and Transparency (FAccT) · 14

Human-LLM Compound System for Scientific Ideation through Facet Recombination and Novelty Evaluation

2024 · Radensky, Marissa, Shahid, Simra, et al. · arXiv (Cornell University) · 7

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Interactive Task and Concept Learning from Natural Language Instructions and GUI Demonstrations

2019 · Li, Toby Jia-Jun, Radensky, Marissa, et al. · arXiv (Cornell University) · 6

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How End Users Express Conditionals in Programming by Demonstration for Mobile Apps

2018 · Marissa Radensky, Toby Jia-Jun Li, et al. · IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC) · 4

Literature-Grounded Novelty Assessment of Scientific Ideas

2025 · Simra Shahid, Marissa Radensky, et al. · Workshop on Scholarly Document Processing (SDP) · 3

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CodeScientist: End-to-End Semi-Automated Scientific Discovery with Code-based Experimentation

2025 · Jansen, Peter, Tafjord, Oyvind, et al. · arXiv (Cornell University) · 2

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CodeScientist: End-to-End Semi-Automated Scientific Discovery with Code-based Experimentation

2025 · Peter Jansen, Oyvind Tafjord, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL) · 2

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Papers-to-Posts: Supporting Detailed Long-Document Summarization with an Interactive LLM-Powered Source Outline

2024 · Radensky, Marissa, Weld, Daniel S., et al. · arXiv (Cornell University) · 2

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Mixed-Initiative Methods for Co-Creation in Scientific Research

2024 · Marissa Radensky · Creativity and Cognition · 1

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Bridger: Toward Bursting Scientific Filter Bubbles and Boosting Innovation via Novel Author Discovery

2021 · Jason Portenoy, Marissa Radensky, et al. · arXiv (Cornell University) · 1

Scideator: Human-LLM Compound System for Scientific Ideation through Facet Recombination and Novelty Evaluation

2026 · Marissa Radensky, Simra Shahid, et al. · ACM Conference on AI and Agentic Systems (CAIS)

Facets, Taxonomies, and Syntheses: Navigating Structured Representations in LLM-Assisted Literature Review

2025 · Fok, Raymond, Chang, Joseph Chee, et al. · arXiv (Cornell University)

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Mixed-Initiative Methods for Verifiable, Controllable Creation in Scientific Research

2025 · Radensky, Marissa · ResearchWorks at the University of Washington (University of Washington)

Exploring How Anomalous Model Input and Output Alerts Affect Decision-Making in Healthcare

2022 · Radensky, Marissa, Burson, Dustin, et al. · arXiv (Cornell University)

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Works count: 17

Citation count: 312

H-index: 6

I10-index: 4