Mark Steyvers

Orcid: 0000-0003-1466-5647

According to our database1, Mark Steyvers authored at least 71 papers between 2002 and 2024.

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Bibliography

2024
The Calibration Gap between Model and Human Confidence in Large Language Models.
CoRR, 2024

How do you know that you don't know?
Cogn. Syst. Res., 2024

Perceptions of Linguistic Uncertainty by Language Models and Humans.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Learning with AI Assistance: A Path to Better Task Performance or Dependence?
Proceedings of the ACM Collective Intelligence Conference, 2024

Bayesian Online Learning for Consensus Prediction.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023
Hybrid forecasting of geopolitical events<sup>†</sup>.
AI Mag., March, 2023

Large Language Models Are Latent Variable Models: Explaining and Finding Good Demonstrations for In-Context Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Human-AI collaboration (Conference Presentation).
Proceedings of the Medical Imaging 2023: Image Perception, 2023

When Do Drivers Intervene In Autonomous Driving?
Proceedings of the Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction, 2023

How Displaying AI Confidence Affects Reliance and Hybrid Human-AI Performance.
Proceedings of the HHAI 2023: Augmenting Human Intellect, 2023

Capturing Humans' Mental Models of AI: An Item Response Theory Approach.
Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

Help me help you: A computational model for goal inference and action planning.
Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

2022
A Critical Review of Network-Based and Distributional Approaches to Semantic Memory Structure and Processes.
Top. Cogn. Sci., 2022

An Empirical Investigation of Reliance on AI-Assistance in a Noisy-Image Classification Task.
Proceedings of the HHAI 2022: Augmenting Human Intellect, 2022

2021
Semantic Memory Search and Retrieval in a Novel Cooperative Word Game: A Comparison of Associative and Distributional Semantic Models.
Cogn. Sci., 2021

Combining Human Predictions with Model Probabilities via Confusion Matrices and Calibration.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Explaining Algorithm Aversion with Metacognitive Bandits.
Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

The Funny Thing About Algorithm Aversion: Investigating Bias Toward AI Humor.
Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

Active Bayesian Assessment of Black-Box Classifiers.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Can I Trust My Fairness Metric? Assessing Fairness with Unlabeled Data and Bayesian Inference.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

An Aha! Walks into a Bar: Joke Completion as a Form of Insight Problem Solving.
Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

2019
Predicting Task and Subject Differences with Functional Connectivity and Blood-Oxygen-Level-Dependent Variability.
Brain Connect., 2019


It's not the treasure, it's the hunt: Children are more explorative on an explore/exploit task than adults.
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

A Picture is Worth 7.17 Words: Learning Categories from Examples and Definitions.
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Distant Concept Connectivity in Network-Based and Spatial Word Representations.
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

An Insight into Language: Investigating Lexical and Morphological Effects in Compound Remote Associate Problem Solving.
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

2018
Modeling the Covariance Structure of Complex Datasets Using Cognitive Models: An Application to Individual Differences and the Heritability of Cognitive Ability.
Cogn. Sci., 2018

2017
Content Coding of Psychotherapy Transcripts Using Labeled Topic Models.
IEEE J. Biomed. Health Informatics, 2017

Leveraging Response Consistency within Individuals to Improve Group Accuracy for Rank-Ordering Problems.
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

A Bayesian model of knowledge and metacognitive control: Applications to opt-in tasks.
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

2016
Why more is better: Simultaneous modeling of EEG, fMRI, and behavioral data.
NeuroImage, 2016

2015
The Roles of Knowledge and Memory in Generating Top-10 Lists.
Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

2014
A Hierarchical Adaptive Approach to Optimal Experimental Design.
Neural Comput., 2014

Forecast aggregation via recalibration.
Mach. Learn., 2014

A Hierarchical Adaptive Approach to the Optimal Design of Experiments.
Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

2013
A Bayesian framework for simultaneously modeling neural and behavioral data.
NeuroImage, 2013

Choosing a Strictly Proper Scoring Rule.
Decis. Anal., 2013

Scoring Workers in Crowdsourcing: How Many Control Questions are Enough?
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Inferring Subjective Prior Knowledge: An Integrative Bayesian Approach.
Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

2012
Inferring Expertise in Knowledge and Prediction Ranking Tasks.
Top. Cogn. Sci., 2012

Statistical topic models for multi-label document classification.
Mach. Learn., 2012

Detecting authorship deception: a supervised machine learning approach using author writeprints.
Lit. Linguistic Comput., 2012

The Wisdom of the Crowd in Combinatorial Problems.
Cogn. Sci., 2012

Context Effects in Multi-Alternative Decision Making: Empirical Data and a Bayesian Model.
Cogn. Sci., 2012

Route choice in individuals - semantic network navigation.
Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012

The Aggregative Contingent Estimation System: Selecting, Rewarding, and Training Experts in a Wisdom of Crowds Approach to Forecasting.
Proceedings of the Wisdom of the Crowd, 2012

2011
Combining Background Knowledge and Learned Topics.
Top. Cogn. Sci., 2011

Psychological models of human and optimal performance in bandit problems.
Cogn. Syst. Res., 2011

A Psychological Model for Aggregating Judgments of Magnitude.
Proceedings of the Social Computing, Behavioral-Cultural Modeling and Prediction, 2011

Using Inverse Planning and Theory of Mind for Social Goal Inference.
Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

A Model of Concept Generalization and Feature Representation in Hierarchies.
Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

The Wisdom of Crowds with Communication.
Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

A Model-Based Approach to Measuring Expertise in Ranking Tasks.
Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

2010
Learning author-topic models from text corpora.
ACM Trans. Inf. Syst., 2010

Learning concept graphs from text with stick-breaking priors.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

2009
A Bayesian Account of Reconstructive Memory.
Top. Cogn. Sci., 2009

Modeling Human Performance in Restless Bandits with Particle Filters.
J. Probl. Solving, 2009

The Wisdom of Crowds in the Recollection of Order Information.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

2008
Text Modeling using Unsupervised Topic Models and Concept Hierarchies
CoRR, 2008

Modeling Documents by Combining Semantic Concepts with Unsupervised Statistical Learning.
Proceedings of the Semantic Web - ISWC 2008, 7th International Semantic Web Conference, 2008

Combining concept hierarchies and statistical topic models.
Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008

2006
Modeling General and Specific Aspects of Documents with a Probabilistic Topic Model.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Analyzing Entities and Topics in News Articles Using Statistical Topic Models.
Proceedings of the Intelligence and Security Informatics, 2006

2005
The Large-Scale Structure of Semantic Networks: Statistical Analyses and a Model of Semantic Growth.
Cogn. Sci., 2005

Prediction and Change Detection.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

2004
The Author-Topic Model for Authors and Documents.
Proceedings of the UAI '04, 2004

Integrating Topics and Syntax.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Probabilistic author-topic models for information discovery.
Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

2003
Inferring causal networks from observations and interventions.
Cogn. Sci., 2003

2002
Prediction and Semantic Association.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002


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