Fetching the paper…
Reading the bibliography…
Large language models (LLMs) are capable of generating multiple responses to a single prompt, yet little effort has been expended to help end-users or system designers make use of this capability.
Structure-mapping: A theoretical framework for analogy
Dedre Gentner. 1983 · 1983
Earlier work this paper cites.
Mental models: concepts for human-computer interaction research
Nancy Staggers and Anthony F. Norcio. 1993 · 1993
Earlier work this paper cites.
Importance of text structure in everyday reading
Bonnie JF Meyer. 1999 · 1999
Earlier work this paper cites.
The psychology of layout: Consequences of the visual structure of documents
Patricia Wright. 1999 · 1999
Earlier work this paper cites.
Bounded rationality and satisficing in young people’s Web-based decision making
Denise E Agosto. 2002 · 2002
Earlier work this paper cites.
The sensemaking process and leverage points for analyst technology as identified through cognitive task analysis. In Proceedings of international conference on intelligence analysis , Vol. 5. McLean, VA, USA, 2–4
Peter Pirolli and Stuart Card. 2005 · 2005
Earlier work this paper cites.
A General Inductive Approach for Analyzing Qualitative Evaluation Data
David R. Thomas. 2006 · 2006
Earlier work this paper cites.
The effects of prior knowledge and text structure on comprehension processes during reading of scientific texts
Panayiota Kendeou and Paul Van Den Broek. 2007 · 2007
Earlier work this paper cites.
Proust and the squid: The story and science of the reading brain
Maryanne Wolf and Catherine J Stoodley. 2008 · 2008
Earlier work this paper cites.
Text skimming: The process and effectiveness of foraging through text under time pressure
Geoffrey B Duggan and Stephen J Payne. 2009 · 2009
Earlier work this paper cites.
Exploring collections of tagged text for literary scholarship. In Computer Graphics Forum , Vol. 30. Wiley Online Library, 731–740
Michael Correll, Michael Witmore, and Michael Gleicher. 2011 · 2011
Earlier work this paper cites.
Computer-supported collation with CollateX: managing textual variance in an environment with varying requirements
R Haentjens Dekker and Gregor Middell. 2011 · 2011
Earlier work this paper cites.
Skim reading by satisficing: evidence from eye tracking. In Proceedings of the SIGCHI conference on human factors in computing systems . 1141–1150
Geoffrey B Duggan and Stephen J Payne. 2011 · 2011
Earlier work this paper cites.
Determining word sequence variation patterns in clinical documents using multiple sequence alignment. In AMIA Annual Symposium Proceedings , Vol. 2011. American Medical Informatics Association, 934
Frank Meng, Craig A Morioka, and Suzie El-Saden. 2011 · 2011
Earlier work this paper cites.
Review spotlight: a user interface for summarizing user-generated reviews using adjective-noun word pairs. In Proceedings of the SIGCHI conference on human factors in computing systems . 1541–1550
Koji Yatani, Michael Novati, Andrew Trusty, and Khai N Truong. 2011 · 2011
Earlier work this paper cites.
Presentation factors affecting reading behaviour in readers of newspaper media: an eye-tracking perspective
Sara Leckner. 2012 · 2012
Earlier work this paper cites.
Analogical learning and reasoning
Dedre Gentner and Linsey A Smith. 2013 · 2013
Earlier work this paper cites.
WordSeer: A Knowledge Synthesis Environment for Textual Data. In Proceedings of the 22nd ACM International Conference on Information & Knowledge Management (San Francisco, California, USA) (CIKM ’13) . Association for Computing Machinery, New York, NY, USA, 2533–2536
Aditi Muralidharan, Marti A. Hearst, and Christopher Fan. 2013 · 2013
Cited alongside, same era.
VarifocalReader—in-depth visual analysis of large text documents
Steffen Koch, Markus John, Michael Wörner, Andreas Müller, and Thomas Ertl. 2014 · 2014
Cited alongside, same era.
Necessary conditions of learning
Ference Marton. 2014 · 2014
Cited alongside, same era.
How People Read Online: The Eyetracking Evidence
K Pernice, K Whitenton, J Nielsen, et al · 2014
Cited alongside, same era.
From phenomenography to variation theory: A review of the development of the variation theory of learning and implications for pedagogical design in higher education
Gerlese Åkerlind. 2015 · 2015
Tempura: Query analysis with structural templates. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems . 1–12
Tongshuang Wu, Kanit Wongsuphasawat, Donghao Ren, Kayur Patel, and Chris DuBois. 2020 · 2020
Later among the works it cites.
A survey of text alignment visualization
Tariq Yousef and Stefan Janicke. 2020 · 2020
Later among the works it cites.
The Impact of Multiple Parallel Phrase Suggestions on Email Input and Composition Behaviour of Native and Non-Native English Writers. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems (Yokohama, Japan) (CHI ’21) . Association for Computing Machinery, New York, NY, USA, Article 732, 13 pages
Daniel Buschek, Martin Zürn, and Malin Eiband. 2021 · 2021
Later among the works it cites.
Sensemaking Interfaces for Human Evaluation of Language Model Outputs. In NeurIPS: In Workshop on Human Evaluation of Generative Models
Katy Ilonka Gero, Jonathan K. Kummerfeld, and Elena L. Glassman. 2022 · 2022
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Compare clouds: Visualizing text corpora to compare media frames. In Proceedings of IUI Workshop on Visual Text Analytics . Citeseer, 193–202
Nicholas Diakopoulos, Dag Elgesem, Andrew Salway, Amy Zhang, and Knut Hofland. 2015 · 2015
Cited alongside, same era.
OverCode: Visualizing Variation in Student Solutions to Programming Problems at Scale
Elena L. Glassman, Jeremy Scott, Rishabh Singh, Philip J. Guo, and Robert C. Miller. 2015 · 2015
Cited alongside, same era.
Computer-supported collation of modern manuscripts: CollateX and the Beckett Digital Manuscript Project
Ronald Haentjens Dekker, Dirk Van Hulle, Gregor Middell, Vincent Neyt, and Joris Van Zundert. 2015 · 2015
Cited alongside, same era.
Speculative practices: Utilizing infovis to explore untapped literary collections
Uta Hinrichs, Stefania Forlini, and Bridget Moynihan. 2015 · 2015
Cited alongside, same era.
Visualizing social media content with sententree
Mengdie Hu, Krist Wongsuphasawat, and John Stasko. 2016 · 2016
Cited alongside, same era.
Visual exploration of machine learning results using data cube analysis. In Proceedings of the Workshop on Human-In-the-Loop Data Analytics . 1–6
Minsuk Kahng, Dezhi Fang, and Duen Horng Chau. 2016 · 2016
Cited alongside, same era.
Topiclens: Efficient multi-level visual topic exploration of large-scale document collections
Minjeong Kim, Kyeongpil Kang, Deokgun Park, Jaegul Choo, and Niklas Elmqvist. 2016 · 2016
Cited alongside, same era.
LaMPost: Design and Evaluation of an AI-Assisted Email Writing Prototype for Adults with Dyslexia. In Proceedings of the 24th International ACM SIGACCESS Conference on Computers and Accessibility (Athens, Greece) (ASSETS ’22) . Association for Computing Machinery, New York, NY, USA, Article 24, 18 pages
Steven M. Goodman, Erin Buehler, Patrick Clary, Andy Coenen, Aaron Donsbach, Tiffanie N. Horne, Michal Lahav, Robert MacDonald, Rain Breaw Michaels, Ajit Narayanan, Mahima Pushkarna, Joel Riley, Alex Santana, Lei Shi, Rachel Sweeney, Phil Weaver, Ann Yuan, and Meredith Ringel Morris. 2022 · 2022
Later among the works it cites.
Design Guidelines for Prompt Engineering Text-to-Image Generative Models. In CHI Conference on Human Factors in Computing Systems . ACM, New Orleans LA USA, 1–23
Vivian Liu and Lydia B Chilton. 2022 · 2022
Later among the works it cites.
Concept-Annotated Examples for Library Comparison. In Proceedings of the 35th Annual ACM Symposium on User Interface Software and Technology (Bend, OR, USA) (UIST ’22) . Association for Computing Machinery, New York, NY, USA, Article 65, 16 pages
Litao Yan, Miryung Kim, Bjoern Hartmann, Tianyi Zhang, and Elena L. Glassman. 2022 · 2022
Later among the works it cites.
Falcon-40B: an open large language model with state-of-the-art performance
Ebtesam Almazrouei, Hamza Alobeidli, Abdulaziz Alshamsi, Alessandro Cappelli, Ruxandra Cojocaru, Merouane Debbah, Etienne Goffinet, Daniel Heslow, Julien Launay, Quentin Malartic, Badreddine Noune, Baptiste Pannier, and Guilherme Penedo. 2023 · 2023
Later among the works it cites.
ChainForge
Ian Arawjo, Priyan Vaithilingam, Chelse Swoopes, Martin Wattenberg, and Elena Glassman. 2023b · 2023
Later among the works it cites.
Graphologue: Exploring Large Language Model Responses with Interactive Diagrams
Peiling Jiang, Jude Rayan, Steven P Dow, and Haijun Xia. 2023 · 2023
Later among the works it cites.
Question Answering and Information Retrieval
Daniel Jurafsky and James H. Martin. 2023 · 2023
Later among the works it cites.
What do you all actually use chatGPT for?
Krtxoe. 2023 · 2023
Later among the works it cites.
How are you using ChatGPT to write emails?
Lego_Hippo. 2023 · 2023
Later among the works it cites.
Test your prompts
promptfoo. Accessed 2023 · 2023
Later among the works it cites.
Sensecape: Enabling Multilevel Exploration and Sensemaking with Large Language Models
Sangho Suh, Bryan Min, Srishti Palani, and Haijun Xia. 2023 · 2023
Later among the works it cites.
Weights and Biases Docs: Prompts for LLMs
Weights and Biases. Accessed 2023 · 2023
Later among the works it cites.
Wink NLP
wink js. Accessed 2023 · 2023
Later among the works it cites.