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Conversational AI systems exhibit a level of human-like behavior that promises to have profound impacts on many aspects of daily life -- how people access information, create content, and seek social support.
A new look at the statistical model identification
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A statistical model for the analysis of ordinal level dependent variables
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Demarginalizing the intersection of race and sex: A black feminist critique of antidiscrimination doctrine, feminist theory and antiracist politics
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Asymptotic Equivalence of Bayes Cross Validation and Widely Applicable Information Criterion in Singular Learning Theory
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Recipes for safety in open-domain chatbots
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Bayesian data analysis
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Linguistically debatable or just plain wrong?
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Truth is a lie: Crowd truth and the seven myths of human annotation
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Invited reflection: Intersectionality in quantitative and qualitative research
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Intersectionality in quantitative psychological research: I. Theoretical and epistemological issues
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Label Distribution Learning
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Parting crowds: Characterizing divergent interpretations in crowdsourced annotation tasks
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Talking to bots: Symbiotic agency and the case of Tay
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Like Trainer, Like Bot? Inheritance of Bias in Algorithmic Content Moderation
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brms: An R Package for Bayesian Multilevel Models Using Stan
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Attention is all you need
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Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC
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Advanced Bayesian Multilevel Modeling with the R Package brms
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Large Scale Crowdsourcing and Characterization of Twitter Abusive Behavior
Founta, A.-M.; Djouvas, C.; Chatzakou, D.; Leontiadis, I.; Blackburn, J.; Stringhini, G.; Vakali, A.; Sirivianos, M.; and Kourtellis, N. 2018 · 2018
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The Bayesian New Statistics: Hypothesis testing, estimation, meta-analysis, and power analysis from a Bayesian perspective
Kruschke, J. K.; and Liddell, T. M. 2018 · 2018
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Efficient elicitation approaches to estimate collective crowd answers
Chung, J. J. Y.; Song, J. Y.; Kutty, S.; Hong, S.; Kim, J.; and Lasecki, W. S. 2019 · 2019
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Intersectional feminism and behavior analysis
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Introducing ChatGPT
OpenAI. 2022 · 2022
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Annotators with Attitudes: How Annotator Beliefs And Identities Bias Toxic Language Detection
Sap, M.; Swayamdipta, S.; Vianna, L.; Zhou, X.; Choi, Y.; and Smith, N. A. 2022 · 2022
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Why So Toxic? Measuring and Triggering Toxic Behavior in Open-Domain Chatbots
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LaMDA: Language Models for Dialog Applications
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Learning to Predict Population-Level Label Distributions
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Indices of Effect Existence and Significance in the Bayesian Framework
Makowski, D.; Ben-Shachar, M. S.; Chen, S. H. A.; and Lüdecke, D. 2019 · 2019
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Dissecting racial bias in an algorithm used to manage the health of populations
Obermeyer, Z.; Powers, B.; Vogeli, C.; and Mullainathan, S. 2019 · 2019
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Effects of Background Music on Risk-Taking and General Player Experience
Rogers, K.; Jörg, M.; and Weber, M. 2019 · 2019
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Cross-validation for hierarchical models
Vehtari, A. 2019 · 2019
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It’s the end of the gold standard as we know it. On the impact of pre-aggregation on the evaluation of highly subjective tasks
Basile, V. 2020 · 2020
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Harmonization sometimes harms
Klenner, M.; Göhring, A.; and Amsler, M. 2020 · 2020
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Anil, R.; Dai, A. M.; Firat, O.; Johnson, M.; Lepikhin, D.; Passos, A.; Shakeri, S.; Taropa, E.; Bailey, P.; Chen, Z.; et al. 2023 · 2023
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Bian, N.; Liu, P.; Han, X.; Lin, H.; Lu, Y.; He, B.; and Sun, L. 2023 · 2023
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ChatGPT and the future of medical writing
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Is ChatGPT Better than Human Annotators? Potential and Limitations of ChatGPT in Explaining Implicit Hate Speech
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The lay of the land: Associations between environmental features and personality
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ChatGPT: the future of discharge summaries?
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Whose opinions do language models reflect?
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An Analysis of the Automatic Bug Fixing Performance of ChatGPT
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Alpaca: A Strong, Replicable Instruction-Following Model
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LLaMA: Open and Efficient Foundation Language Models
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That Was Fast: Stanford Yanks Alpaca Demo for Hallucinating
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