Daniel S. Weld

University of Washington — United States

Computer Science · Physical Sciences

47h-index12.3kcitations138works2.32yr avg
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Research Topics

AI-based Problem Solving and Planning(65), Logic, Reasoning, and Knowledge(38), Mobile Crowdsensing and Crowdsourcing(29), Semantic Web and Ontologies(22), Bayesian Modeling and Causal Inference(21)

Publications138 total

Synthesizing scientific literature with retrieval-augmented language models
Nature·2026· 2 citedOpen Access
CodeScientist: End-to-End Semi-Automated Scientific Discovery with Code-based Experimentation
arXiv (Cornell University)·2025· 1 citedOpen Access
Challenges in Human-Agent Communication
arXiv (Cornell University)·2024· 4 citedOpen Access
Designing LLM Chains by Adapting Techniques from Crowdsourcing Workflows
arXiv (Cornell University)·2023· 5 citedOpen Access
Scim: Intelligent Skimming Support for Scientific Papers
arXiv (Cornell University)·2022· 6 citedOpen Access
Ontological Smoothing for Relation Extraction with Minimal Supervision
Proceedings of the AAAI Conference on Artificial Intelligence·2021· 24 citedOpen Access
LRTDP Versus UCT for Online Probabilistic Planning
Proceedings of the AAAI Conference on Artificial Intelligence·2021· 49 citedOpen Access
Dynamically Switching between Synergistic Workflows for Crowdsourcing
Proceedings of the AAAI Conference on Artificial Intelligence·2021· 62 citedOpen Access
Focused Topological Value Iteration
Proceedings of the International Conference on Automated Planning and Scheduling·2021· 17 citedOpen Access
Is the Most Accurate AI the Best Teammate? Optimizing AI for Teamwork
arXiv (Cornell University)·2020· 2 citedOpen Access
Cicero: Multi-Turn, Contextual Argumentation for Accurate Crowdsourcing
arXiv (Cornell University)·2018· 11 citedOpen Access
Sprout
2018· 30 cited
Active Learning with Unbalanced Classes and Example-Generation Queries
Proceedings of the AAAI Conference on Human Computation and Crowdsourcing·2018· 16 citedOpen Access
MicroTalk: Using Argumentation to Improve Crowdsourcing Accuracy
Proceedings of the AAAI Conference on Human Computation and Crowdsourcing·2016· 82 citedOpen Access
A Programming Language With a POMDP Inside
arXiv (Cornell University)·2016Open Access
Optimal Testing for Crowd Workers
Adaptive Agents and Multi-Agents Systems·2016· 38 cited
Re-Active Learning: Active Learning with Relabeling
Proceedings of the AAAI Conference on Artificial Intelligence·2016· 58 citedOpen Access
Effective Crowd Annotation for Relation Extraction
2016· 68 citedOpen Access
Extreme Extraction: Only One Hour per Relation
arXiv (Cornell University)·2015· 10 citedOpen Access
Intelligent Control of Crowdsourcing
2015· 5 cited
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Frequent Co-authors

Mausam Mausam(8), Oren Etzioni(6), Steve Hanks(5), David E. Smith(4), Keith Golden(4), Christopher H. Lin(4), Nicholas Kushmerick(3), Zachary G. Ives(3), Marc Friedman(3), Lydia B. Chilton(3), Peng Dai(3), Jonathan Bragg(3), Andrey Kolobov(3), Raphael Hoffmann(2), Xiao Ling(2), Daniela Florescu(2), Alon Y. Levy(2), Corin R. Anderson(2), James A. Landay(2), Denise L. Draper(2)