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ORCIDDaniel S. Weld
Daniel Sabby Weld
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- affiliation: University of Washington, Seattle, Washington, USA
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2020 – today
- 2024
[j52]Raymond Fok
, Daniel S. Weld:
In search of verifiability: Explanations rarely enable complementary performance in AI-advised decision making. AI Mag. 45(3): 317-332 (2024)- [j51]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:
The Semantic Reader Project. Commun. ACM 67(10): 50-61 (2024) - [c171]Benjamin Newman, Yoonjoo Lee, Aakanksha Naik, Pao Siangliulue, Raymond Fok, Juho Kim, Daniel S. Weld, Joseph Chee Chang, Kyle Lo:
ArxivDIGESTables: Synthesizing Scientific Literature into Tables using Language Models. EMNLP 2024: 9612-9631 - [c170]Raymond Fok, Joseph Chee Chang, Tal August, Amy X. Zhang, Daniel S. Weld:
Qlarify: Recursively Expandable Abstracts for Dynamic Information Retrieval over Scientific Papers. UIST 2024: 145:1-145:21 - [i61]Marissa Radensky, Daniel S. Weld, Joseph Chee Chang, Pao Siangliulue, Jonathan Bragg:
Let's Get to the Point: LLM-Supported Planning, Drafting, and Revising of Research-Paper Blog Posts. CoRR abs/2406.10370 (2024) - [i60]Marissa Radensky, Simra Shahid, Raymond Fok, Pao Siangliulue, Tom Hope, Daniel S. Weld:
Scideator: Human-LLM Scientific Idea Generation Grounded in Research-Paper Facet Recombination. CoRR abs/2409.14634 (2024) - [i59]Benjamin Newman, Yoonjoo Lee, Aakanksha Naik, Pao Siangliulue, Raymond Fok, Juho Kim, Daniel S. Weld, Joseph Chee Chang, Kyle Lo:
ArxivDIGESTables: Synthesizing Scientific Literature into Tables using Language Models. CoRR abs/2410.22360 (2024) - 2023
- [j50]Tom Hope, Doug Downey, Daniel S. Weld, Oren Etzioni, Eric Horvitz:
A Computational Inflection for Scientific Discovery. Commun. ACM 66(8): 62-73 (2023) - [j49]Benjamin Charles Germain Lee, Doug Downey, Kyle Lo, Daniel S. Weld:
LIMEADE: From AI Explanations to Advice Taking. ACM Trans. Interact. Intell. Syst. 13(4): 24:1-24:29 (2023) - [c169]Joseph Chee Chang, Amy X. Zhang, Jonathan Bragg, Andrew Head, Kyle Lo, Doug Downey, Daniel S. Weld:
CiteSee: Augmenting Citations in Scientific Papers with Persistent and Personalized Historical Context. CHI 2023: 737:1-737:15 - [c168]Kyle Lo, Zejiang Shen, Benjamin Newman, Joseph Chee Chang, Russell Authur, Erin Bransom, Stefan Candra, Yoganand Chandrasekhar, Regan Huff, Bailey Kuehl, Amanpreet Singh, Chris Wilhelm, Angele Zamarron, Marti A. Hearst, Daniel S. Weld, Doug Downey, Luca Soldaini:
PaperMage: A Unified Toolkit for Processing, Representing, and Manipulating Visually-Rich Scientific Documents. EMNLP (Demos) 2023: 495-507 - [c167]Sherry Wu, Hua Shen, Daniel S. Weld, Jeffrey Heer, Marco Túlio Ribeiro:
ScatterShot: Interactive In-context Example Curation for Text Transformation. IUI 2023: 353-367 - [c166]Raymond Fok, Hita Kambhamettu, Luca Soldaini, Jonathan Bragg, Kyle Lo, Marti A. Hearst, Andrew Head, Daniel S. Weld:
Scim: Intelligent Skimming Support for Scientific Papers. IUI 2023: 476-490 - [i58]Rodney Kinney, Chloe Anastasiades, Russell Authur, Iz Beltagy, Jonathan Bragg, Alexandra Buraczynski, Isabel Cachola, Stefan Candra, Yoganand Chandrasekhar, Arman Cohan, Miles Crawford, Doug Downey, Jason Dunkelberger, Oren Etzioni, Rob Evans, Sergey Feldman, Joseph Gorney, David Graham, Fangzhou Hu, Regan Huff, Daniel King, Sebastian Kohlmeier, Bailey Kuehl, Michael Langan, Daniel Lin, Haokun Liu, Kyle Lo, Jaron Lochner, Kelsey MacMillan, Tyler Murray, Chris Newell, Smita Rao, Shaurya Rohatgi, Paul Sayre, Zejiang Shen, Amanpreet Singh, Luca Soldaini, Shivashankar Subramanian, Amber Tanaka, Alex D. Wade, Linda Wagner, Lucy Lu Wang, Chris Wilhelm, Caroline Wu, Jiangjiang Yang, Angele Zamarron, Madeleine van Zuylen, Daniel S. Weld:
The Semantic Scholar Open Data Platform. CoRR abs/2301.10140 (2023) - [i57]Joseph Chee Chang, Amy X. Zhang, Jonathan Bragg, Andrew Head, Kyle Lo, Doug Downey, Daniel S. Weld:
CiteSee: Augmenting Citations in Scientific Papers with Persistent and Personalized Historical Context. CoRR abs/2302.07302 (2023) - [i56]Tongshuang Wu, Hua Shen, Daniel S. Weld, Jeffrey Heer, Marco Túlio Ribeiro:
ScatterShot: Interactive In-context Example Curation for Text Transformation. CoRR abs/2302.07346 (2023) - [i55]Joyce Zhou, Elena L. Glassman, Daniel S. Weld:
An Interactive UI to Support Sensemaking over Collections of Parallel Texts. CoRR abs/2303.06264 (2023) - [i54]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:
The Semantic Reader Project: Augmenting Scholarly Documents through AI-Powered Interactive Reading Interfaces. CoRR abs/2303.14334 (2023) - [i53]Raymond Fok, Daniel S. Weld:
In Search of Verifiability: Explanations Rarely Enable Complementary Performance in AI-Advised Decision Making. CoRR abs/2305.07722 (2023) - [i52]Raymond Fok, Joseph Chee Chang, Tal August, Amy X. Zhang, Daniel S. Weld:
Qlarify: Bridging Scholarly Abstracts and Papers with Recursively Expandable Summaries. CoRR abs/2310.07581 (2023) - [i51]Madeleine Grunde-McLaughlin, Michelle S. Lam, Ranjay Krishna, Daniel S. Weld, Jeffrey Heer:
Designing LLM Chains by Adapting Techniques from Crowdsourcing Workflows. CoRR abs/2312.11681 (2023) - 2022
- [j48]Michael J. Cafarella, Michael R. Anderson, Iz Beltagy, Arie Cattan, Sarah E. Chasins, Ido Dagan, Doug Downey, Oren Etzioni, Sergey Feldman, Tian Gao, Tom Hope, Kexin Huang, Sophie Johnson, Daniel King, Kyle Lo, Yuze Lou, Matthew D. Shapiro, Dinghao Shen, Shivashankar Subramanian, Lucy Lu Wang, Yuning Wang, Yitong Wang, Daniel S. Weld, Jenny M. Vo-Phamhi, Anna Zeng, Jiayun Zou:
Infrastructure for Rapid Open Knowledge Network Development. AI Mag. 43(1): 59-68 (2022) - [j47]Zejiang Shen, Kyle Lo, Lucy Lu Wang, Bailey Kuehl, Daniel S. Weld, Doug Downey:
VILA: Improving Structured Content Extraction from Scientific PDFs Using Visual Layout Groups. Trans. Assoc. Comput. Linguistics 10: 376-392 (2022) - [c165]Dan Lahav, Jon Saad-Falcon, Bailey Kuehl, Sophie Johnson, Sravanthi Parasa, Noam Shomron, Duen Horng Chau, Diyi Yang, Eric Horvitz, Daniel S. Weld, Tom Hope:
A Search Engine for Discovery of Scientific Challenges and Directions. AAAI 2022: 11982-11990 - [c164]Marissa Radensky, Doug Downey, Kyle Lo, Zoran Popovic, Daniel S. Weld:
Exploring the Role of Local and Global Explanations in Recommender Systems. CHI Extended Abstracts 2022: 290:1-290:7 - [c163]Hyeonsu B. Kang, Rafal Kocielnik, Andrew Head, Jiangjiang Yang, Matt Latzke, Aniket Kittur, Daniel S. Weld, Doug Downey, Jonathan Bragg:
From Who You Know to What You Read: Augmenting Scientific Recommendations with Implicit Social Networks. CHI 2022: 302:1-302:23 - [c162]Jason Portenoy, Marissa Radensky, Jevin D. West, Eric Horvitz, Daniel S. Weld, Tom Hope:
Bursting Scientific Filter Bubbles: Boosting Innovation via Novel Author Discovery. CHI 2022: 309:1-309:13 - [c161]Sonia K. Murthy, Kyle Lo, Daniel King, Chandra Bhagavatula, Bailey Kuehl, Sophie Johnson, Jonathan Borchardt, Daniel S. Weld, Tom Hope, Doug Downey:
ACCoRD: A Multi-Document Approach to Generating Diverse Descriptions of Scientific Concepts. EMNLP (Demos) 2022: 200-213 - [c160]Daniel Khashabi, Gabriel Stanovsky, Jonathan Bragg, Nicholas Lourie, Jungo Kasai, Yejin Choi, Noah A. Smith, Daniel S. Weld:
GENIE: Toward Reproducible and Standardized Human Evaluation for Text Generation. EMNLP 2022: 11444-11458 - [c159]Napol Rachatasumrit, Jonathan Bragg, Amy X. Zhang, Daniel S. Weld:
CiteRead: Integrating Localized Citation Contexts into Scientific Paper Reading. IUI 2022: 707-719 - [c158]Harmanpreet Kaur, Doug Downey, Amanpreet Singh, Evie Yu-Yen Cheng, Daniel S. Weld, Jonathan Bragg:
FeedLens: Polymorphic Lenses for Personalizing Exploratory Search over Knowledge Graphs. UIST 2022: 97:1-97:15 - [i50]Daniel King, Zejiang Shen, Nishant Subramani, Daniel S. Weld, Iz Beltagy, Doug Downey:
Don't Say What You Don't Know: Improving the Consistency of Abstractive Summarization by Constraining Beam Search. CoRR abs/2203.08436 (2022) - [i49]Hyeonsu B. Kang, Rafal Kocielnik, Andrew Head, Jiangjiang Yang, Matt Latzke, Aniket Kittur, Daniel S. Weld, Doug Downey, Jonathan Bragg:
From Who You Know to What You Read: Augmenting Scientific Recommendations with Implicit Social Networks. CoRR abs/2204.10254 (2022) - [i48]Marissa Radensky, Dustin Burson, Rajya Bhaiya, Daniel S. Weld:
Exploring How Anomalous Model Input and Output Alerts Affect Decision-Making in Healthcare. CoRR abs/2204.13194 (2022) - [i47]Tom Hope, Doug Downey, Oren Etzioni, Daniel S. Weld, Eric Horvitz:
A Computational Inflection for Scientific Discovery. CoRR abs/2205.02007 (2022) - [i46]Mandar Joshi, Terra Blevins, Mike Lewis, Daniel S. Weld, Luke Zettlemoyer:
Few-shot Mining of Naturally Occurring Inputs and Outputs. CoRR abs/2205.04050 (2022) - [i45]Raymond Fok, Andrew Head, Jonathan Bragg, Kyle Lo, Marti A. Hearst, Daniel S. Weld:
Scim: Intelligent Faceted Highlights for Interactive, Multi-Pass Skimming of Scientific Papers. CoRR abs/2205.04561 (2022) - [i44]Sonia K. Murthy, Kyle Lo, Daniel King, Chandra Bhagavatula, Bailey Kuehl, Sophie Johnson, Jonathan Borchardt, Daniel S. Weld, Tom Hope, Doug Downey:
ACCoRD: A Multi-Document Approach to Generating Diverse Descriptions of Scientific Concepts. CoRR abs/2205.06982 (2022) - [i43]Harmanpreet Kaur, Doug Downey, Amanpreet Singh, Evie Yu-Yen Cheng, Daniel S. Weld, Jonathan Bragg:
FeedLens: Polymorphic Lenses for Personalizing Exploratory Search over Knowledge Graphs. CoRR abs/2208.07531 (2022) - 2021
- [j46]Quanze Chen, Daniel S. Weld, Amy X. Zhang:
Goldilocks: Consistent Crowdsourced Scalar Annotations with Relative Uncertainty. Proc. ACM Hum. Comput. Interact. 5(CSCW2): 335:1-335:25 (2021) - [c157]Gagan Bansal, Besmira Nushi, Ece Kamar, Eric Horvitz, Daniel S. Weld:
Is the Most Accurate AI the Best Teammate? Optimizing AI for Teamwork. AAAI 2021: 11405-11414 - [c156]Tongshuang Wu, Marco Túlio Ribeiro, Jeffrey Heer, Daniel S. Weld:
Polyjuice: Generating Counterfactuals for Explaining, Evaluating, and Improving Models. ACL/IJCNLP (1) 2021: 6707-6723 - [c155]Arie Cattan, Sophie Johnson, Daniel S. Weld, Ido Dagan, Iz Beltagy, Doug Downey, Tom Hope:
SciCo: Hierarchical Cross-Document Coreference for Scientific Concepts. AKBC 2021 - [c154]Lucy Lu Wang, Isabel Cachola, Jonathan Bragg, Evie Yu-Yen Cheng, Chelsea Haupt, Matt Latzke, Bailey Kuehl, Madeleine N. van Zuylen, Linda Wagner, Daniel S. Weld:
SciA11y: Converting Scientific Papers to Accessible HTML. ASSETS 2021: 85:1-85:4 - [c153]Gagan Bansal, Tongshuang Wu, Joyce Zhou, Raymond Fok, Besmira Nushi, Ece Kamar, Marco Túlio Ribeiro, Daniel S. Weld:
Does the Whole Exceed its Parts? The Effect of AI Explanations on Complementary Team Performance. CHI 2021: 81:1-81:16 - [c152]Andrew Head, Kyle Lo, Dongyeop Kang, Raymond Fok, Sam Skjonsberg, Daniel S. Weld, Marti A. Hearst:
Augmenting Scientific Papers with Just-in-Time, Position-Sensitive Definitions of Terms and Symbols. CHI 2021: 413:1-413:18 - [c151]Tom Hope, Aida Amini, David Wadden, Madeleine van Zuylen, Sravanthi Parasa, Eric Horvitz, Daniel S. Weld, Roy Schwartz, Hannaneh Hajishirzi:
Extracting a Knowledge Base of Mechanisms from COVID-19 Papers. NAACL-HLT 2021: 4489-4503 - [i42]Tongshuang Wu, Marco Túlio Ribeiro, Jeffrey Heer, Daniel S. Weld:
Polyjuice: Automated, General-purpose Counterfactual Generation. CoRR abs/2101.00288 (2021) - [i41]Daniel Khashabi, Gabriel Stanovsky, Jonathan Bragg, Nicholas Lourie, Jungo Kasai, Yejin Choi, Noah A. Smith, Daniel S. Weld:
GENIE: A Leaderboard for Human-in-the-Loop Evaluation of Text Generation. CoRR abs/2101.06561 (2021) - [i40]Arie Cattan, Sophie Johnson, Daniel S. Weld, Ido Dagan, Iz Beltagy, Doug Downey, Tom Hope:
SciCo: Hierarchical Cross-Document Coreference for Scientific Concepts. CoRR abs/2104.08809 (2021) - [i39]Lucy Lu Wang, Isabel Cachola, Jonathan Bragg, Evie Yu-Yen Cheng, Chelsea Haupt, Matt Latzke, Bailey Kuehl, Madeleine van Zuylen, Linda Wagner, Daniel S. Weld:
Improving the Accessibility of Scientific Documents: Current State, User Needs, and a System Solution to Enhance Scientific PDF Accessibility for Blind and Low Vision Users. CoRR abs/2105.00076 (2021) - [i38]Zejiang Shen, Kyle Lo, Lucy Lu Wang, Bailey Kuehl, Daniel S. Weld, Doug Downey:
Incorporating Visual Layout Structures for Scientific Text Classification. CoRR abs/2106.00676 (2021) - [i37]Quanze Chen, Daniel S. Weld, Amy X. Zhang:
Goldilocks: Consistent Crowdsourced Scalar Annotations with Relative Uncertainty. CoRR abs/2108.01799 (2021) - [i36]Jason Portenoy, Marissa Radensky, Jevin West, Eric Horvitz, Daniel S. Weld, Tom Hope:
Bridger: Toward Bursting Scientific Filter Bubbles and Boosting Innovation via Novel Author Discovery. CoRR abs/2108.05669 (2021) - [i35]Dan Lahav, Jon Saad-Falcon, Bailey Kuehl, Sophie Johnson, Sravanthi Parasa, Noam Shomron, Duen Horng Chau, Diyi Yang, Eric Horvitz, Daniel S. Weld, Tom Hope:
A Search Engine for Discovery of Biomedical Challenges and Directions. CoRR abs/2108.13751 (2021) - [i34]Marissa Radensky, Doug Downey, Kyle Lo, Zoran Popovic, Daniel S. Weld:
Exploring The Role of Local and Global Explanations in Recommender Systems. CoRR abs/2109.13301 (2021) - 2020
- [j45]Mandar Joshi, Danqi Chen, Yinhan Liu, Daniel S. Weld, Luke Zettlemoyer, Omer Levy:
SpanBERT: Improving Pre-training by Representing and Predicting Spans. Trans. Assoc. Comput. Linguistics 8: 64-77 (2020) - [c150]Arman Cohan, Sergey Feldman, Iz Beltagy, Doug Downey, Daniel S. Weld:
SPECTER: Document-level Representation Learning using Citation-informed Transformers. ACL 2020: 2270-2282 - [c149]Kyle Lo, Lucy Lu Wang, Mark Neumann, Rodney Kinney, Daniel S. Weld:
S2ORC: The Semantic Scholar Open Research Corpus. ACL 2020: 4969-4983 - [c148]Alison Smith-Renner, Ron Fan, Melissa Birchfield, Tongshuang Wu, Jordan L. Boyd-Graber, Daniel S. Weld, Leah Findlater:
No Explainability without Accountability: An Empirical Study of Explanations and Feedback in Interactive ML. CHI 2020: 1-13 - [c147]Benjamin Charles Germain Lee, Jaime Mears, Eileen Jakeway, Meghan Ferriter, Chris Adams, Nathan Yarasavage, Deborah Thomas, Kate Zwaard, Daniel S. Weld:
The Newspaper Navigator Dataset: Extracting Headlines and Visual Content from 16 Million Historic Newspaper Pages in Chronicling America. CIKM 2020: 3055-3062 - [c146]Tom Hope, Jason Portenoy, Kishore Vasan, Jonathan Borchardt, Eric Horvitz, Daniel S. Weld, Marti A. Hearst, Jevin West:
SciSight: Combining faceted navigation and research group detection for COVID-19 exploratory scientific search. EMNLP (Demos) 2020: 135-143 - [c145]Dongyeop Kang, Andrew Head, Risham Sidhu, Kyle Lo, Daniel S. Weld, Marti A. Hearst:
Document-Level Definition Detection in Scholarly Documents: Existing Models, Error Analyses, and Future Directions. SDP@EMNLP 2020: 196-206 - [c144]Isabel Cachola, Kyle Lo, Arman Cohan, Daniel S. Weld:
TLDR: Extreme Summarization of Scientific Documents. EMNLP (Findings) 2020: 4766-4777 - [c143]Daniel King, Doug Downey, Daniel S. Weld:
High-Precision Extraction of Emerging Concepts from Scientific Literature. SIGIR 2020: 1549-1552 - [c142]Benjamin Charles Germain Lee, Daniel S. Weld:
Newspaper Navigator: Open Faceted Search for 1.5 Million Images. UIST (Adjunct Volume) 2020: 120-122 - [i33]Benjamin Charles Germain Lee, Kyle Lo, Doug Downey, Daniel S. Weld:
Explanation-Based Tuning of Opaque Machine Learners with Application to Paper Recommendation. CoRR abs/2003.04315 (2020) - [i32]Arman Cohan, Sergey Feldman, Iz Beltagy, Doug Downey, Daniel S. Weld:
SPECTER: Document-level Representation Learning using Citation-informed Transformers. CoRR abs/2004.07180 (2020) - [i31]Lucy Lu Wang, Kyle Lo, Yoganand Chandrasekhar, Russell Reas, Jiangjiang Yang, Darrin Eide, Kathryn Funk, Rodney Kinney, Ziyang Liu, William Merrill, Paul Mooney, Dewey A. Murdick, Devvret Rishi, Jerry Sheehan, Zhihong Shen, Brandon Stilson, Alex D. Wade, Kuansan Wang, Chris Wilhelm, Boya Xie, Douglas Raymond, Daniel S. Weld, Oren Etzioni, Sebastian Kohlmeier:
CORD-19: The Covid-19 Open Research Dataset. CoRR abs/2004.10706 (2020) - [i30]Gagan Bansal, Besmira Nushi, Ece Kamar, Eric Horvitz, Daniel S. Weld:
Optimizing AI for Teamwork. CoRR abs/2004.13102 (2020) - [i29]Isabel Cachola, Kyle Lo, Arman Cohan, Daniel S. Weld:
TLDR: Extreme Summarization of Scientific Documents. CoRR abs/2004.15011 (2020) - [i28]Benjamin Charles Germain Lee, Jaime Mears, Eileen Jakeway, Meghan Ferriter, Chris Adams, Nathan Yarasavage, Deborah Thomas, Kate Zwaard, Daniel S. Weld:
The Newspaper Navigator Dataset: Extracting And Analyzing Visual Content from 16 Million Historic Newspaper Pages in Chronicling America. CoRR abs/2005.01583 (2020) - [i27]Tom Hope, Jason Portenoy, Kishore Vasan, Jonathan Borchardt, Eric Horvitz, Daniel S. Weld, Marti A. Hearst, Jevin West:
SciSight: Combining faceted navigation and research group detection for COVID-19 exploratory scientific search. CoRR abs/2005.12668 (2020) - [i26]Daniel King, Doug Downey, Daniel S. Weld:
High-Precision Extraction of Emerging Concepts from Scientific Literature. CoRR abs/2006.06877 (2020) - [i25]Gagan Bansal, Tongshuang Wu, Joyce Zhou, Raymond Fok, Besmira Nushi, Ece Kamar, Marco Túlio Ribeiro, Daniel S. Weld:
Does the Whole Exceed its Parts? The Effect of AI Explanations on Complementary Team Performance. CoRR abs/2006.14779 (2020) - [i24]Andrew Head, Kyle Lo, Dongyeop Kang, Raymond Fok, Sam Skjonsberg, Daniel S. Weld, Marti A. Hearst:
Augmenting Scientific Papers with Just-in-Time, Position-Sensitive Definitions of Terms and Symbols. CoRR abs/2009.14237 (2020) - [i23]Dongyeop Kang, Andrew Head, Risham Sidhu, Kyle Lo, Daniel S. Weld, Marti A. Hearst:
Document-Level Definition Detection in Scholarly Documents: Existing Models, Error Analyses, and Future Directions. CoRR abs/2010.05129 (2020)
2010 – 2019
- 2019
- [j44]Daniel S. Weld, Gagan Bansal:
The challenge of crafting intelligible intelligence. Commun. ACM 62(6): 70-79 (2019) - [j43]Tongshuang Wu, Daniel S. Weld, Jeffrey Heer:
Local Decision Pitfalls in Interactive Machine Learning: An Investigation into Feature Selection in Sentiment Analysis. ACM Trans. Comput. Hum. Interact. 26(4): 24:1-24:27 (2019) - [c141]Gagan Bansal, Besmira Nushi, Ece Kamar, Daniel S. Weld, Walter S. Lasecki, Eric Horvitz:
Updates in Human-AI Teams: Understanding and Addressing the Performance/Compatibility Tradeoff. AAAI 2019: 2429-2437 - [c140]Tongshuang Wu, Marco Túlio Ribeiro, Jeffrey Heer, Daniel S. Weld:
Errudite: Scalable, Reproducible, and Testable Error Analysis. ACL (1) 2019: 747-763 - [c139]Saleema Amershi, Daniel S. Weld, Mihaela Vorvoreanu, Adam Fourney, Besmira Nushi, Penny Collisson, Jina Suh, Shamsi T. Iqbal, Paul N. Bennett, Kori Inkpen, Jaime Teevan, Ruth Kikin-Gil, Eric Horvitz:
Guidelines for Human-AI Interaction. CHI 2019: 3 - [c138]Quanze Chen, Jonathan Bragg, Lydia B. Chilton, Daniel S. Weld:
Cicero: Multi-Turn, Contextual Argumentation for Accurate Crowdsourcing. CHI 2019: 531 - [c137]Arman Cohan, Iz Beltagy, Daniel King, Bhavana Dalvi, Daniel S. Weld:
Pretrained Language Models for Sequential Sentence Classification. EMNLP/IJCNLP (1) 2019: 3691-3697 - [c136]Mandar Joshi, Omer Levy, Luke Zettlemoyer, Daniel S. Weld:
BERT for Coreference Resolution: Baselines and Analysis. EMNLP/IJCNLP (1) 2019: 5802-5807 - [c135]Gagan Bansal, Besmira Nushi, Ece Kamar, Walter S. Lasecki, Daniel S. Weld, Eric Horvitz:
Beyond Accuracy: The Role of Mental Models in Human-AI Team Performance. HCOMP 2019: 2-11 - [c134]Mandar Joshi, Eunsol Choi, Omer Levy, Daniel S. Weld, Luke Zettlemoyer:
pair2vec: Compositional Word-Pair Embeddings for Cross-Sentence Inference. NAACL-HLT (1) 2019: 3597-3608 - [i22]Gagan Bansal, Besmira Nushi, Ece Kamar, Daniel S. Weld, Walter S. Lasecki, Eric Horvitz:
A Case for Backward Compatibility for Human-AI Teams. CoRR abs/1906.01148 (2019) - [i21]Mandar Joshi, Danqi Chen, Yinhan Liu, Daniel S. Weld, Luke Zettlemoyer, Omer Levy:
SpanBERT: Improving Pre-training by Representing and Predicting Spans. CoRR abs/1907.10529 (2019) - [i20]Mandar Joshi, Omer Levy, Daniel S. Weld, Luke Zettlemoyer:
BERT for Coreference Resolution: Baselines and Analysis. CoRR abs/1908.09091 (2019) - [i19]Arman Cohan, Iz Beltagy, Daniel King, Bhavana Dalvi, Daniel S. Weld:
Pretrained Language Models for Sequential Sentence Classification. CoRR abs/1909.04054 (2019) - [i18]Kyle Lo, Lucy Lu Wang, Mark Neumann, Rodney Kinney, Daniel S. Weld:
GORC: A large contextual citation graph of academic papers. CoRR abs/1911.02782 (2019) - 2018
- [c133]Gagan Bansal, Daniel S. Weld:
A Coverage-Based Utility Model for Identifying Unknown Unknowns. AAAI 2018: 1463-1470 - [c132]Christopher H. Lin, Mausam, Daniel S. Weld:
Active Learning with Unbalanced Classes and Example-Generation Queries. HCOMP 2018: 98-107 - [c131]James Ferguson, Colin Lockard, Daniel S. Weld, Hannaneh Hajishirzi:
Semi-Supervised Event Extraction with Paraphrase Clusters. NAACL-HLT (2) 2018: 359-364 - [c130]Jonathan Bragg, Mausam, Daniel S. Weld:
Sprout: Crowd-Powered Task Design for Crowdsourcing. UIST 2018: 165-176 - [c129]Ziyu Yao, Daniel S. Weld, Wei-Peng Chen, Huan Sun:
StaQC: A Systematically Mined Question-Code Dataset from Stack Overflow. WWW 2018: 1693-1703 - [i17]Daniel S. Weld, Gagan Bansal:
Intelligible Artificial Intelligence. CoRR abs/1803.04263 (2018) - [i16]Ziyu Yao, Daniel S. Weld, Wei-Peng Chen, Huan Sun:
StaQC: A Systematically Mined Question-Code Dataset from Stack Overflow. CoRR abs/1803.09371 (2018) - [i15]James Ferguson, Colin Lockard, Daniel S. Weld, Hannaneh Hajishirzi:
Semi-Supervised Event Extraction with Paraphrase Clusters. CoRR abs/1808.08622 (2018) - [i14]Mandar Joshi, Eunsol Choi, Omer Levy, Daniel S. Weld, Luke Zettlemoyer:
pair2vec: Compositional Word-Pair Embeddings for Cross-Sentence Inference. CoRR abs/1810.08854 (2018) - [i13]Quanze Chen, Jonathan Bragg, Lydia B. Chilton, Daniel S. Weld:
Cicero: Multi-Turn, Contextual Argumentation for Accurate Crowdsourcing. CoRR abs/1810.10733 (2018) - 2017
- [c128]Mandar Joshi, Eunsol Choi, Daniel S. Weld, Luke Zettlemoyer:
TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension. ACL (1) 2017: 1601-1611 - [i12]Mandar Joshi, Eunsol Choi, Daniel S. Weld, Luke Zettlemoyer:
TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension. CoRR abs/1705.03551 (2017) - 2016
- [c127]Christopher H. Lin, Mausam, Daniel S. Weld:
Re-Active Learning: Active Learning with Relabeling. AAAI 2016: 1845-1852 - [c126]Jonathan Bragg, Mausam, Daniel S. Weld:
Optimal Testing for Crowd Workers. AAMAS 2016: 966-974 - [c125]