Mark Steyvers

98 papers A* 8A 3B 22C 1Misc 1Journal 47Unranked 16
YearRankTypeTitle / Venue / Authors
2026 J jnl
Human-AI Synergy Supports Collective Creative Search.
CoRR
Chenyi Li, Raja Marjieh, Haoyu Hu, Mark Steyvers, Katherine M. Collins, Ilia Sucholutsky, Nori Jacoby
2026 J jnl
Learning to Trust: How Humans Mentally Recalibrate AI Confidence Signals.
CoRR
ZhaoBin Li, Mark Steyvers
2026 J jnl
Strategic Shaping of Human Prosociality: A Latent-State POMDP Framework.
CoRR
Zahra Zahedi, Xinyue Hu, Shashank Mehrotra, Mark Steyvers, Kumar Akash
2026 J jnl
Strategic Shaping of Human Prosociality: A Latent-State POMDP Framework.
IEEE Robotics Autom. Lett.
Zahra Zahedi, Xinyue Hu, Shashank Mehrotra, Mark Steyvers, Kumar Akash
2026 J jnl
Toward Promoting Prosocial Interactions between Humans with Autonomous Agents.
ACM Trans. Hum. Robot Interact.
Xinyue Hu, Shashank Mehrotra, Teruhisa Misu, Kumar Akash, Mark Steyvers
2025 B conf
A Cognitive Framework for Timely AI Communication.
CogSci
Mark Steyvers, Lukas William Mayer, Jackie Ayoub
2025 A* conf
Bayesian Inference for Correlated Human Experts and Classifiers.
ICML
Markelle Kelly, Alex James Boyd, Samuel Showalter, Mark Steyvers, Padhraic Smyth
2025 J jnl
Bayesian Inference for Correlated Human Experts and Classifiers.
CoRR
Markelle Kelly, Alex Boyd, Samuel Showalter, Mark Steyvers, Padhraic Smyth
2025 J jnl
Beyond Accuracy: How AI Metacognitive Sensitivity improves AI-assisted Decision Making.
CoRR
ZhaoBin Li, Mark Steyvers
2025 — conf
Does Observing Helping Robots Promote Prosociality? Challenges of Learning from Observation in Spatial Environments.
CI
Xinyue Hu, Shashank Mehrotra, Zahra Zahedi, Teruhisa Misu, Kumar Akash, Mark Steyvers
2025 J jnl
Human-AI Collaboration: Trade-offs Between Performance and Preferences.
CoRR
Lukas William Mayer, Sheer Karny, Jackie Ayoub, Miao Song, Danyang Tian, Ehsan Moradi-Pari, Mark Steyvers
2025 J jnl
Improving Metacognition and Uncertainty Communication in Language Models.
CoRR
Mark Steyvers, Catarina G. Belém, Padhraic Smyth
2025 J jnl
Metacognition and Uncertainty Communication in Humans and Large Language Models.
CoRR
Mark Steyvers, Megan A. K. Peters
2025 B conf
Seeing Things Differently: The Role of Differing Perspectives in Advice-Taking.
CogSci
Aakriti Kumar, Ren-Hui Michelle Tham, Mark Steyvers
2025 B conf
The Importance of Metacognitive Sensitivity in Human-AI Decision-Making.
CogSci
ZhaoBin Li, Mark Steyvers
2025 J jnl
What large language models know and what people think they know.
Nat. Mac. Intell.
Mark Steyvers, Heliodoro Tejeda Lemus, Aakriti Kumar, Catarina G. Belém, Sheer Karny, Xinyue Hu, Lukas William Mayer, Padhraic Smyth
2025 J jnl
When not to help: planning for lasting human-AI collaboration.
CoRR
Mark Steyvers, Lukas William Mayer
2024 A conf
Bayesian Online Learning for Consensus Prediction.
AISTATS
Samuel Showalter, Alex J. Boyd, Padhraic Smyth, Mark Steyvers
2024 J jnl
How do you know that you don't know?
Cogn. Syst. Res.
Quentin F. Gronau, Mark Steyvers, Scott D. Brown
2024 J jnl
Hybrid Forecasting of Geopolitical Events.
CoRR
Daniel M. Benjamin, Fred Morstatter, Ali E. Abbas, Andrés Abeliuk, Pavel Atanasov, Stephen Bennett, Andreas Beger, Saurabh Birari, David V. Budescu, Michele Catasta, Emilio Ferrara, Lucas Haravitch, Mark Himmelstein, K. S. M. Tozammel Hossain, Yuzhong Huang, Woojeong Jin, Regina Joseph, Jure Leskovec, Akira Matsui, Mehrnoosh Mirtaheri, Xiang Ren, Gleb Satyukov, Rajiv Sethi, Amandeep Singh, Rok Sosic, Mark Steyvers, Pedro A. Szekely, Michael D. Ward, Aram Galstyan
2024 — conf
Learning with AI Assistance: A Path to Better Task Performance or Dependence?
CI
Sheer Karny, Lukas William Mayer, Jackie Ayoub, Miao Song, Haotian Su, Danyang Tian, Ehsan Moradi-Pari, Mark Steyvers
2024 A* conf
Perceptions of Linguistic Uncertainty by Language Models and Humans.
EMNLP
Catarina G. Belém, Markelle Kelly, Mark Steyvers, Sameer Singh, Padhraic Smyth
2024 J jnl
Perceptions of Linguistic Uncertainty by Language Models and Humans.
CoRR
Catarina G. Belém, Markelle Kelly, Mark Steyvers, Sameer Singh, Padhraic Smyth
2024 B conf
Prosocial Acts Towards AI Shaped By Reciprocation And Awareness.
CogSci
Xinyue Hu, Kumar Akash, Shashank Mehrotra, Teruhisa Misu, Mark Steyvers
2024 J jnl
The Calibration Gap between Model and Human Confidence in Large Language Models.
CoRR
Mark Steyvers, Heliodoro Tejeda Lemus, Aakriti Kumar, Catarina G. Belém, Sheer Karny, Xinyue Hu, Lukas William Mayer, Padhraic Smyth
2023 J jnl
Bayesian Online Learning for Consensus Prediction.
CoRR
Samuel Showalter, Alex Boyd, Padhraic Smyth, Mark Steyvers
2023 — conf
Capturing Humans' Mental Models of AI: An Item Response Theory Approach.
FAccT
Markelle Kelly, Aakriti Kumar, Padhraic Smyth, Mark Steyvers
2023 J jnl
Capturing Humans' Mental Models of AI: An Item Response Theory Approach.
CoRR
Markelle Kelly, Aakriti Kumar, Padhraic Smyth, Mark Steyvers
2023 B conf
Help me help you: A computational model for goal inference and action planning.
CogSci
Abhilasha Ashok Kumar, Mark Steyvers
2023 — conf
How Displaying AI Confidence Affects Reliance and Hybrid Human-AI Performance.
HHAI
Heliodoro Tejeda Lemus, Aakriti Kumar, Mark Steyvers
2023 — conf
Human-AI collaboration (Conference Presentation).
Image Perception, Observer Performance, and Technology Assessment
Mark Steyvers
2023 J jnl
Hybrid forecasting of geopolitical events
AI Mag.
Daniel M. Benjamin, Fred Morstatter, Ali E. Abbas, Andrés Abeliuk, Pavel Atanasov, Stephen Bennett, Andreas Beger, Saurabh Birari, David V. Budescu, Michele Catasta, Emilio Ferrara, Lucas Haravitch, Mark Himmelstein, K. S. M. Tozammel Hossain, Yuzhong Huang, Woojeong Jin, Regina Joseph, Jure Leskovec, Akira Matsui, Mehrnoosh Mirtaheri, Xiang Ren, Gleb Satyukov, Rajiv Sethi, Amandeep Singh, Rok Sosic, Mark Steyvers, Pedro A. Szekely, Michael D. Ward, Aram Galstyan
2023 A* conf
Large Language Models Are Latent Variable Models: Explaining and Finding Good Demonstrations for In-Context Learning.
NeurIPS
Xinyi Wang, Wanrong Zhu, Michael Saxon, Mark Steyvers, William Yang Wang
2023 — conf
When Do Drivers Intervene In Autonomous Driving?
HRI (Companion)
Aakriti Kumar, Kumar Akash, Shashank Mehrotra, Teruhisa Misu, Mark Steyvers
2022 J jnl
A Critical Review of Network-Based and Distributional Approaches to Semantic Memory Structure and Processes.
Top. Cogn. Sci.
Abhilasha Ashok Kumar, Mark Steyvers, David A. Balota
2022 — conf
An Empirical Investigation of Reliance on AI-Assistance in a Noisy-Image Classification Task.
HHAI
Heliodoro Tejeda Lemus, Aakriti Kumar, Mark Steyvers
2021 A* conf
Active Bayesian Assessment of Black-Box Classifiers.
AAAI
Disi Ji, Robert L. Logan IV, Padhraic Smyth, Mark Steyvers
2021 A* conf
Combining Human Predictions with Model Probabilities via Confusion Matrices and Calibration.
NeurIPS
Gavin Kerrigan, Padhraic Smyth, Mark Steyvers
2021 J jnl
Combining Human Predictions with Model Probabilities via Confusion Matrices and Calibration.
CoRR
Gavin Kerrigan, Padhraic Smyth, Mark Steyvers
2021 B conf
Explaining Algorithm Aversion with Metacognitive Bandits.
CogSci
Aakriti Kumar, Trisha Patel, Aaron S. Benjamin, Mark Steyvers
2021 J jnl
Semantic Memory Search and Retrieval in a Novel Cooperative Word Game: A Comparison of Associative and Distributional Semantic Models.
Cogn. Sci.
Abhilasha Ashok Kumar, Mark Steyvers, David A. Balota
2021 B conf
The Funny Thing About Algorithm Aversion: Investigating Bias Toward AI Humor.
CogSci
Alexander H. Bower, Mark Steyvers
2020 J jnl
Active Bayesian Assessment for Black-Box Classifiers.
CoRR
Disi Ji, Robert L. Logan IV, Padhraic Smyth, Mark Steyvers
2020 B conf
An Aha! Walks into a Bar: Joke Completion as a Form of Insight Problem Solving.
CogSci
Alexander H. Bower, Mark Steyvers
2020 A* conf
Can I Trust My Fairness Metric? Assessing Fairness with Unlabeled Data and Bayesian Inference.
NeurIPS
Disi Ji, Padhraic Smyth, Mark Steyvers
2020 J jnl
Can I Trust My Fairness Metric? Assessing Fairness with Unlabeled Data and Bayesian Inference.
CoRR
Disi Ji, Padhraic Smyth, Mark Steyvers
2019 B conf
A Picture is Worth 7.17 Words: Learning Categories from Examples and Definitions.
CogSci
Arsenii Moskvichev, Roman Tikhonov, Mark Steyvers
2019 B conf
An Insight into Language: Investigating Lexical and Morphological Effects in Compound Remote Associate Problem Solving.
CogSci
Alexander H. Bower, Andrew Burton, Mark Steyvers, William H. Batchelder
2019 B conf
Distant Concept Connectivity in Network-Based and Spatial Word Representations.
CogSci
Abhilasha Ashok Kumar, David A. Balota, Mark Steyvers
2019 B conf
It's not the treasure, it's the hunt: Children are more explorative on an explore/exploit task than adults.
CogSci
Emily S. Sumner, Mark Steyvers, Barbara W. Sarnecka
2019 J jnl
Predicting Task and Subject Differences with Functional Connectivity and Blood-Oxygen-Level-Dependent Variability.
Brain Connect.
Garren Gaut, Brandon M. Turner, Zhong-Lin Lu, Xiangrui Li, William A. Cunningham, Mark Steyvers
2019 A* conf
SAGE: A Hybrid Geopolitical Event Forecasting System.
IJCAI
Fred Morstatter, Aram Galstyan, Gleb Satyukov, Daniel Benjamin, Andrés Abeliuk, Mehrnoosh Mirtaheri, K. S. M. Tozammel Hossain, Pedro A. Szekely, Emilio Ferrara, Akira Matsui, Mark Steyvers, Stephen Bennett, David V. Budescu, Mark Himmelstein, Michael D. Ward, Andreas Beger, Michele Catasta, Rok Sosic, Jure Leskovec, Pavel Atanasov, Regina Joseph, Rajiv Sethi, Ali E. Abbas
2018 J jnl
Modeling the Covariance Structure of Complex Datasets Using Cognitive Models: An Application to Individual Differences and the Heritability of Cognitive Ability.
Cogn. Sci.
Nathan J. Evans, Mark Steyvers, Scott D. Brown
2017 B conf
A Bayesian model of knowledge and metacognitive control: Applications to opt-in tasks.
CogSci
Stephen Bennett, Aaron S. Benjamin, Mark Steyvers
2017 J jnl
Content Coding of Psychotherapy Transcripts Using Labeled Topic Models.
IEEE J. Biomed. Health Informatics
Garren Gaut, Mark Steyvers, Zac E. Imel, David C. Atkins, Padhraic Smyth
2017 B conf
Leveraging Response Consistency within Individuals to Improve Group Accuracy for Rank-Ordering Problems.
CogSci
Brent Miller, Mark Steyvers
2016 J jnl
Why more is better: Simultaneous modeling of EEG, fMRI, and behavioral data.
NeuroImage
Brandon M. Turner, Christian A. Rodriguez, Anthony M. Norcia, Samuel M. McClure, Mark Steyvers
2015 B conf
The Roles of Knowledge and Memory in Generating Top-10 Lists.
CogSci
Michael D. Lee, Emily Liu, Mark Steyvers
2014 J jnl
A Hierarchical Adaptive Approach to Optimal Experimental Design.
Neural Comput.
Woojae Kim, Mark A. Pitt, Zhong-Lin Lu, Mark Steyvers, Jay I. Myung
2014 B conf
A Hierarchical Adaptive Approach to the Optimal Design of Experiments.
CogSci
Woojae Kim, Mark A. Pitt, Zhong-Lin Lu, Mark Steyvers, Hairong Gu, Jay I. Myung
2014 J jnl
Forecast aggregation via recalibration.
Mach. Learn.
Brandon M. Turner, Mark Steyvers, Edgar C. Merkle, David V. Budescu, Thomas S. Wallsten
2013 J jnl
A Bayesian framework for simultaneously modeling neural and behavioral data.
NeuroImage
Brandon M. Turner, Birte U. Forstmann, Eric-Jan Wagenmakers, Scott D. Brown, Per B. Sederberg, Mark Steyvers
2013 J jnl
Choosing a Strictly Proper Scoring Rule.
Decis. Anal.
Edgar C. Merkle, Mark Steyvers
2013 B conf
Inferring Subjective Prior Knowledge: An Integrative Bayesian Approach.
CogSci
Sean Tauber, Mark Steyvers
2013 — conf
Scoring Workers in Crowdsourcing: How Many Control Questions are Enough?
NIPS
Qiang Liu, Alexander Ihler, Mark Steyvers
2012 J jnl
Context Effects in Multi-Alternative Decision Making: Empirical Data and a Bayesian Model.
Cogn. Sci.
Guy Hawkins, Scott D. Brown, Mark Steyvers, Eric-Jan Wagenmakers
2012 J jnl
Detecting authorship deception: a supervised machine learning approach using author writeprints.
Lit. Linguistic Comput.
Lisa Pearl, Mark Steyvers
2012 J jnl
Inferring Expertise in Knowledge and Prediction Ranking Tasks.
Top. Cogn. Sci.
Michael D. Lee, Mark Steyvers, Mindy de Young, Brent Miller
2012 B conf
Route choice in individuals - semantic network navigation.
CogSci
Nicole Beckage, Mark Steyvers, Carter T. Butts
2012 J jnl
Statistical topic models for multi-label document classification.
Mach. Learn.
Timothy N. Rubin, America Chambers, Padhraic Smyth, Mark Steyvers
2012 — conf
The Aggregative Contingent Estimation System: Selecting, Rewarding, and Training Experts in a Wisdom of Crowds Approach to Forecasting.
AAAI Spring Symposium: Wisdom of the Crowd
Dirk B. Warnaar, Edgar C. Merkle, Mark Steyvers, Thomas S. Wallsten, Eric R. Stone, David V. Budescu, J. Frank Yates, Winston R. Sieck, Hal R. Arkes, Chris F. Argenta, Youngwon Shin, Jennifer N. Carter
2012 J jnl
The Author-Topic Model for Authors and Documents
CoRR
Michal Rosen-Zvi, Thomas L. Griffiths, Mark Steyvers, Padhraic Smyth
2012 J jnl
The Wisdom of the Crowd in Combinatorial Problems.
Cogn. Sci.
Sheng Kung Michael Yi, Mark Steyvers, Michael D. Lee, Matthew J. Dry
2011 B conf
A Model of Concept Generalization and Feature Representation in Hierarchies.
CogSci
Timothy N. Rubin, Matthew D. Zeigenfuse, Mark Steyvers
2011 B conf
A Model-Based Approach to Measuring Expertise in Ranking Tasks.
CogSci
Michael D. Lee, Mark Steyvers, Mindy de Young, Brent Miller
2011 — conf
A Psychological Model for Aggregating Judgments of Magnitude.
SBP
Edgar C. Merkle, Mark Steyvers
2011 J jnl
Combining Background Knowledge and Learned Topics.
Top. Cogn. Sci.
Mark Steyvers, Padhraic Smyth, Chaitanya Chemudugunta
2011 J jnl
Psychological models of human and optimal performance in bandit problems.
Cogn. Syst. Res.
Michael D. Lee, Shunan Zhang, Miles Munro, Mark Steyvers
2011 J jnl
Statistical Topic Models for Multi-Label Document Classification
CoRR
Timothy N. Rubin, America Chambers, Padhraic Smyth, Mark Steyvers
2011 B conf
The Wisdom of Crowds with Communication.
CogSci
Brent Miller, Mark Steyvers
2011 B conf
Using Inverse Planning and Theory of Mind for Social Goal Inference.
CogSci
Sean Tauber, Mark Steyvers
2010 J jnl
Learning author-topic models from text corpora.
ACM Trans. Inf. Syst.
Michal Rosen-Zvi, Chaitanya Chemudugunta, Thomas L. Griffiths, Padhraic Smyth, Mark Steyvers
2010 — conf
Learning concept graphs from text with stick-breaking priors.
NIPS
America Chambers, Padhraic Smyth, Mark Steyvers
2009 J jnl
A Bayesian Account of Reconstructive Memory.
Top. Cogn. Sci.
Pernille Hemmer, Mark Steyvers
2009 J jnl
Modeling Human Performance in Restless Bandits with Particle Filters.
J. Probl. Solving
Sheng Kung Michael Yi, Mark Steyvers, Michael D. Lee
2009 — conf
The Wisdom of Crowds in the Recollection of Order Information.
NIPS
Mark Steyvers, Michael D. Lee, Brent Miller, Pernille Hemmer
2008 A conf
Combining concept hierarchies and statistical topic models.
CIKM
Chaitanya Chemudugunta, Padhraic Smyth, Mark Steyvers
2008 Misc conf
Modeling Documents by Combining Semantic Concepts with Unsupervised Statistical Learning.
ISWC
Chaitanya Chemudugunta, America Holloway, Padhraic Smyth, Mark Steyvers
2008 J jnl
Text Modeling using Unsupervised Topic Models and Concept Hierarchies
CoRR
Chaitanya Chemudugunta, Padhraic Smyth, Mark Steyvers
2006 C conf
Analyzing Entities and Topics in News Articles Using Statistical Topic Models.
ISI
David Newman, Chaitanya Chemudugunta, Padhraic Smyth, Mark Steyvers
2006 — conf
Modeling General and Specific Aspects of Documents with a Probabilistic Topic Model.
NIPS
Chaitanya Chemudugunta, Padhraic Smyth, Mark Steyvers
2005 — conf
Prediction and Change Detection.
NIPS
Mark Steyvers, Scott D. Brown
2005 J jnl
The Large-Scale Structure of Semantic Networks: Statistical Analyses and a Model of Semantic Growth.
Cogn. Sci.
Mark Steyvers, Joshua B. Tenenbaum
2004 — conf
Integrating Topics and Syntax.
NIPS
Thomas L. Griffiths, Mark Steyvers, David M. Blei, Joshua B. Tenenbaum
2004 A* conf
Probabilistic author-topic models for information discovery.
KDD
Mark Steyvers, Padhraic Smyth, Michal Rosen-Zvi, Thomas Griffiths
2004 A conf
The Author-Topic Model for Authors and Documents.
UAI
Michal Rosen-Zvi, Thomas L. Griffiths, Mark Steyvers, Padhraic Smyth
2003 J jnl
Inferring causal networks from observations and interventions.
Cogn. Sci.
Mark Steyvers, Joshua B. Tenenbaum, Eric-Jan Wagenmakers, Ben Blum
2002 — conf
Prediction and Semantic Association.
NIPS
Thomas L. Griffiths, Mark Steyvers