Pao Siangliulue

According to our database, Pao Siangliulue authored at least 24 papers between 2015 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Literature-Grounded Novelty Assessment of Scientific Ideas.

Simra Shahid, Marissa Radensky, Raymond Fok, Pao Siangliulue, Daniel S. Weld, Tom Hope

CoRR, June, 2025

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

Raymond Fok, Joseph Chee Chang, Marissa Radensky, Pao Siangliulue, Jonathan Bragg, Amy X. Zhang, Daniel S. Weld

CoRR, April, 2025

IdeaSynth: Iterative Research Idea Development Through Evolving and Composing Idea Facets with Literature-Grounded Feedback.

Kevin Pu, K. J. Kevin Feng, Tovi Grossman, Tom Hope, Bhavana Dalvi Mishra, Matt Latzke, Jonathan Bragg, Joseph Chee Chang, Pao Siangliulue

Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, 2025

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

Peter Jansen, Oyvind Tafjord, Marissa Radensky, Pao Siangliulue, Tom Hope, Bhavana Dalvi Mishra, Bodhisattwa Prasad Majumder, Daniel S. Weld, Peter Clark

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

The Semantic Reader Project.

Kyle Lo, Joseph Chee Chang, Andrew Head, Jonathan Bragg, Amy X. Zhang, Cassidy Trier, Chloe Anastasiades, Tal August, Russell Authur, Danielle Bragg, Erin Bransom, Isabel Cachola, Stefan Candra, Yoganand Chandrasekhar, Yen-Sung Chen, Evie Yu-Yen Cheng, Yvonne Chou, Doug Downey, Rob Evans, Raymond Fok, Fangzhou Hu, Regan Huff, Dongyeop Kang, Tae Soo Kim, Rodney Kinney, Aniket Kittur, Hyeonsu B. Kang, Egor Klevak, Bailey Kuehl, Michael Langan, Matt Latzke, Jaron Lochner, Kelsey MacMillan, Eric Marsh, Tyler Murray, Aakanksha Naik, Ngoc-Uyen Nguyen, Srishti Palani, Soya Park, Caroline Paulic, Napol Rachatasumrit, Smita Rao, Paul Sayre, Zejiang Shen, Pao Siangliulue, Luca Soldaini, Huy Tran, Madeleine van Zuylen, Lucy Lu Wang, Chris Wilhelm, Caroline Wu, Jiangjiang Yang, Angele Zamarron, Marti A. Hearst, Daniel S. Weld

Commun. ACM, October, 2024

Cocoa: Co-Planning and Co-Execution with AI Agents.

K. J. Kevin Feng, Kevin Pu, Matt Latzke, Tal August, Pao Siangliulue, Jonathan Bragg, Daniel S. Weld, Amy X. Zhang, Joseph Chee Chang

CoRR, 2024

Scideator: Human-LLM Scientific Idea Generation Grounded in Research-Paper Facet Recombination.

Marissa Radensky, Simra Shahid, Raymond Fok, Pao Siangliulue, Tom Hope, Daniel S. Weld

CoRR, 2024

Let's Get to the Point: LLM-Supported Planning, Drafting, and Revising of Research-Paper Blog Posts.

Marissa Radensky, Daniel S. Weld, Joseph Chee Chang, Pao Siangliulue, Jonathan Bragg

CoRR, 2024

ArxivDIGESTables: Synthesizing Scientific Literature into Tables using Language Models.

Benjamin Newman, Yoonjoo Lee, Aakanksha Naik, Pao Siangliulue, Raymond Fok, Juho Kim, Daniel S. Weld, Joseph Chee Chang, Kyle Lo

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

PaperWeaver: Enriching Topical Paper Alerts by Contextualizing Recommended Papers with User-collected Papers.

Yoonjoo Lee, Hyeonsu B. Kang, Matt Latzke, Juho Kim, Jonathan Bragg, Joseph Chee Chang, Pao Siangliulue

Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024

A Design Space for Intelligent and Interactive Writing Assistants.

Mina Lee, Katy Ilonka Gero, John Joon Young Chung, Simon Buckingham Shum, Vipul Raheja, Hua Shen, Subhashini Venugopalan, Thiemo Wambsganss, David Zhou, Emad A. Alghamdi, Tal August, Avinash Bhat, Madiha Zahrah Choksi, Senjuti Dutta, Jin L. C. Guo, Md. Naimul Hoque, Yewon Kim, Simon Knight, Seyed Parsa Neshaei, Antonette Shibani, Disha Shrivastava, Lila Shroff, Agnia Sergeyuk, Jessi Stark, Sarah Sterman, Sitong Wang, Antoine Bosselut, Daniel Buschek, Joseph Chee Chang, Sherol Chen, Max Kreminski, Joonsuk Park, Roy Pea, Eugenia Ha Rim Rho, Zejiang Shen, Pao Siangliulue

Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024

2023

Beyond Summarization: Designing AI Support for Real-World Expository Writing Tasks.

Zejiang Shen, Tal August, Pao Siangliulue, Kyle Lo, Jonathan Bragg, Jeff Hammerbacher, Doug Downey, Joseph Chee Chang, David A. Sontag

CoRR, 2023

The Semantic Reader Project: Augmenting Scholarly Documents through AI-Powered Interactive Reading Interfaces.

Kyle Lo, Joseph Chee Chang, Andrew Head, Jonathan Bragg, Amy X. Zhang, Cassidy Trier, Chloe Anastasiades, Tal August, Russell Authur, Danielle Bragg, Erin Bransom, Isabel Cachola, Stefan Candra, Yoganand Chandrasekhar, Yen-Sung Chen, Evie Yu-Yen Cheng, Yvonne Chou, Doug Downey, Rob Evans, Raymond Fok, Fangzhou Hu, Regan Huff, Dongyeop Kang, Tae Soo Kim, Rodney Kinney, Aniket Kittur, Hyeonsu B. Kang, Egor Klevak, Bailey Kuehl, Michael Langan, Matt Latzke, Jaron Lochner, Kelsey MacMillan, Eric Marsh, Tyler Murray, Aakanksha Naik, Ngoc-Uyen Nguyen, Srishti Palani, Soya Park, Caroline Paulic, Napol Rachatasumrit, Smita Rao, Paul Sayre, Zejiang Shen, Pao Siangliulue, Luca Soldaini, Huy Tran, Madeleine van Zuylen, Lucy Lu Wang, Chris Wilhelm, Caroline Wu, Jiangjiang Yang, Angele Zamarron, Marti A. Hearst, Daniel S. Weld

CoRR, 2023

2021

Ask Me or Tell Me? Enhancing the Effectiveness of Crowdsourced Design Feedback.

Fritz Lekschas, Spyridon Ampanavos, Pao Siangliulue, Hanspeter Pfister, Krzysztof Z. Gajos

Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

2020

MixTAPE: Mixed-initiative Team Action Plan Creation Through Semi-structured Notes, Automatic Task Generation, and Task Classification.

Sajjadur Rahman, Pao Siangliulue, Adam Marcus

Proc. ACM Hum. Comput. Interact., 2020

2019

Critter: Augmenting Creative Work with Dynamic Checklists, Automated Quality Assurance, and Contextual Reviewer Feedback.

Aditya Bharadwaj, Pao Siangliulue, Adam Marcus, Kurt Luther

Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 2019

2017

Semantically Far Inspirations Considered Harmful?: Accounting for Cognitive States in Collaborative Ideation.

Joel Chan, Pao Siangliulue, Denisa Qori McDonald, Ruixue Liu, Reza Moradinezhad, Safa Aman, Erin Treacy Solovey, Krzysztof Z. Gajos, Steven P. Dow

Proceedings of the 2017 ACM SIGCHI Conference on Creativity and Cognition, 2017

2016

IdeaHound: Improving Large-scale Collaborative Ideation with Crowd-Powered Real-time Semantic Modeling.

Pao Siangliulue, Joel Chan, Steven P. Dow, Krzysztof Z. Gajos

Proceedings of the 29th Annual Symposium on User Interface Software and Technology, 2016

IdeaHound: Self-sustainable Idea Generation in Creative Online Communities.

Pao Siangliulue, Joel Chan, Bernd Huber, Steven Dow, Krzysztof Z. Gajos

Proceedings of the 19th ACM Conference on Computer Supported Cooperative Work and Social Computing, 2016

Large-Scale Collaborative Innovation: Challenges, Visions and Approaches.

Pao Siangliulue, Joel Chan, Kenneth C. Arnold, Bernd Huber, Steven P. Dow, Krzysztof Z. Gajos

Proceedings of the 2016 AAAI Spring Symposia, 2016

2015

Supporting Collaborative Innovation at Scale.

Pao Siangliulue

Proceedings of the 28th Annual ACM Symposium on User Interface Software & Technology, 2015

Toward Collaborative Ideation at Scale: Leveraging Ideas from Others to Generate More Creative and Diverse Ideas.

Pao Siangliulue, Kenneth C. Arnold, Krzysztof Z. Gajos, Steven P. Dow

Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work & Social Computing, 2015

Providing Timely Examples Improves the Quantity and Quality of Generated Ideas.

Pao Siangliulue, Joel Chan, Krzysztof Z. Gajos, Steven P. Dow

Proceedings of the 2015 ACM SIGCHI Conference on Creativity and Cognition, 2015

Intelligent Systems to Support Large-Scale Collective Creative Idea Generation.

Pao Siangliulue

Proceedings of the 2015 ACM SIGCHI Conference on Creativity and Cognition, 2015