Marissa Radensky

17 papers A* 3B 2Journal 9Unranked 3
YearRankTypeTitle / Venue / Authors
2025 — conf
CodeScientist: End-to-End Semi-Automated Scientific Discovery with Code-based Experimentation.
ACL (Findings)
Peter Jansen, Oyvind Tafjord, Marissa Radensky, Pao Siangliulue, Tom Hope, Bhavana Dalvi Mishra, Bodhisattwa Prasad Majumder, Daniel S. Weld, Peter Clark
2025 J jnl
CodeScientist: End-to-End Semi-Automated Scientific Discovery with Code-based Experimentation.
CoRR
Peter A. Jansen, Oyvind Tafjord, Marissa Radensky, Pao Siangliulue, Tom Hope, Bhavana Dalvi Mishra, Bodhisattwa Prasad Majumder, Daniel S. Weld, Peter Clark
2025 J jnl
Facets, Taxonomies, and Syntheses: Navigating Structured Representations in LLM-Assisted Literature Review.
CoRR
Raymond Fok, Joseph Chee Chang, Marissa Radensky, Pao Siangliulue, Jonathan Bragg, Amy X. Zhang, Daniel S. Weld
2025 J jnl
Literature-Grounded Novelty Assessment of Scientific Ideas.
CoRR
Simra Shahid, Marissa Radensky, Raymond Fok, Pao Siangliulue, Daniel S. Weld, Tom Hope
2024 J jnl
Let's Get to the Point: LLM-Supported Planning, Drafting, and Revising of Research-Paper Blog Posts.
CoRR
Marissa Radensky, Daniel S. Weld, Joseph Chee Chang, Pao Siangliulue, Jonathan Bragg
2024 B conf
Mixed-Initiative Methods for Co-Creation in Scientific Research.
Creativity & Cognition
Marissa Radensky
2024 J jnl
Scideator: Human-LLM Scientific Idea Generation Grounded in Research-Paper Facet Recombination.
CoRR
Marissa Radensky, Simra Shahid, Raymond Fok, Pao Siangliulue, Tom Hope, Daniel S. Weld
2023 — conf
"I Think You Might Like This": Exploring Effects of Confidence Signal Patterns on Trust in and Reliance on Conversational Recommender Systems.
FAccT
Marissa Radensky, Julie Anne Séguin, Jang Soo Lim, Kristen Olson, Robert Geiger
2022 A* conf
Bursting Scientific Filter Bubbles: Boosting Innovation via Novel Author Discovery.
CHI
Jason Portenoy, Marissa Radensky, Jevin D. West, Eric Horvitz, Daniel S. Weld, Tom Hope
2022 J jnl
Exploring How Anomalous Model Input and Output Alerts Affect Decision-Making in Healthcare.
CoRR
Marissa Radensky, Dustin Burson, Rajya Bhaiya, Daniel S. Weld
2022 — conf
Exploring the Role of Local and Global Explanations in Recommender Systems.
CHI Extended Abstracts
Marissa Radensky, Doug Downey, Kyle Lo, Zoran Popovic, Daniel S. Weld
2021 J jnl
Bridger: Toward Bursting Scientific Filter Bubbles and Boosting Innovation via Novel Author Discovery.
CoRR
Jason Portenoy, Marissa Radensky, Jevin West, Eric Horvitz, Daniel S. Weld, Tom Hope
2021 J jnl
Exploring The Role of Local and Global Explanations in Recommender Systems.
CoRR
Marissa Radensky, Doug Downey, Kyle Lo, Zoran Popovic, Daniel S. Weld
2019 A* conf
PUMICE: A Multi-Modal Agent that Learns Concepts and Conditionals from Natural Language and Demonstrations.
UIST
Toby Jia-Jun Li, Marissa Radensky, Justin Jia, Kirielle Singarajah, Tom M. Mitchell, Brad A. Myers
2019 J jnl
PUMICE: A Multi-Modal Agent that Learns Concepts and Conditionals from Natural Language and Demonstrations.
CoRR
Toby Jia-Jun Li, Marissa Radensky, Justin Jia, Kirielle Singarajah, Tom M. Mitchell, Brad A. Myers
2018 B conf
How End Users Express Conditionals in Programming by Demonstration for Mobile Apps.
VL/HCC
Marissa Radensky, Toby Jia-Jun Li, Brad A. Myers
2018 A* conf
The Story in the Notebook: Exploratory Data Science using a Literate Programming Tool.
CHI
Mary Beth Kery, Marissa Radensky, Mahima Arya, Bonnie E. John, Brad A. Myers