Every reference with a DOI in the deposited reference list resolved to a known
work in Crossref or DataCite at the dated check, and none carried a retraction,
withdrawal, or removal notice.
The 47 checked references that resolve
resolves10.1073/pnas.2313790120Large language models show human-like content biases in transmission chain experiments
resolves10.1017/pan.2023.2Out of One, Many: Using Language Models to Simulate Human Samples
resolves10.1002/bdm.2155A systematic review of algorithm aversion in augmented decision making
resolves10.1007/s41060-018-0116-zStreaming active learning strategies for real-life credit card fraud detection: assessment and visualization
resolves10.1287/mnsc.2016.2643Overcoming Algorithm Aversion: People Will Use Imperfect Algorithms If They Can (Even Slightly) Modify Them
resolves10.1038/s43588-023-00527-xHuman-like intuitive behavior and reasoning biases emerged in large language models but disappeared in ChatGPT
resolves10.1093/restud/rdaa016Heads or Tails: The Impact of a Coin Toss on Major Life Decisions and Subsequent Happiness
resolves10.4236/ti.2022.131001How AI-Human Symbiotes May Reinvent Innovation and What the New Centaurs Will Mean for Cities
resolves10.1371/journal.pone.0226873Comparison of post-transplantation diabetes mellitus incidence and risk factors between kidney and liver transplantation patients
resolves10.1068/p220463Evidence for Representations of Perceptually Similar Natural Categories by 3-Month-Old and 4-Month-Old Infants
resolves10.1016/j.jet.2018.08.006Ambiguous partially observable Markov decision processes: Structural results and applications
resolves10.1287/opre.1120.1096Patient Streaming as a Mechanism for Improving Responsiveness in Emergency Departments
resolves10.1287/opre.2015.1454The Newsvendor under Demand Ambiguity: Combining Data with Moment and Tail Information
resolves10.1073/pnas.2105646118The neural architecture of language: Integrative modeling converges on predictive processing
resolves10.1021/ci025620tActive Learning with Support Vector Machines in the Drug Discovery Process
The 89 references without a DOI — listed, not checked
no DOI — not checkedref2
no DOI — not checkedUsing large language models to simulate multiple humans and replicate human subject studies
no DOI — not checkedref4
no DOI — not checkedref6
no DOI — not checkedFine-tuning language models to find agreement among humans with diverse preferences
no DOI — not checkedref9
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no DOI — not checkedref12
no DOI — not checkedLanguage models are few-shot learners
no DOI — not checkedref17
no DOI — not checkedReading tea leaves: How humans interpret topic models
no DOI — not checkedref20
no DOI — not checkedHow ai can learn from the law: Putting humans in the loop only on appeal
no DOI — not checkedHuman-aligned calibration for ai-assisted decision making
no DOI — not checkedHow new human-machine collaborations could make government organizations more efficient
no DOI — not checkedDeep generative image models using a laplacian pyramid of adversarial networks
no DOI — not checkedAlgorithm aversion: People erroneously avoid algorithms after seeing them err
no DOI — not checkedInteractive machine learning
no DOI — not checkedDeep bayesian active learning with image data
no DOI — not checkedref31
no DOI — not checkedAugmenting the algorithm: Emerging human-in-the-loop work configurations
no DOI — not checkedCurriculumnet: Weakly supervised learning from large-scale web images
no DOI — not checkedref38
no DOI — not checkedref39
no DOI — not checkedref40
no DOI — not checkedWhen it's ok to trust your gut on a big decision
no DOI — not checkedLanguage is not all you need: Aligning perception language models
no DOI — not checkedReward learning from human preferences and demonstrations in atari
no DOI — not checkedTowards unsupervised validation of anomaly detection models
no DOI — not checkedref47
no DOI — not checkedBeavertails: Towards improved safety alignment of llm via a human-preference dataset
no DOI — not checkedEvaluating and inducing personality in pre-trained language models
no DOI — not checkedref50
no DOI — not checkedref51
no DOI — not checkedref53
no DOI — not checkedThe chess master and the computer
no DOI — not checkedref55
no DOI — not checkedref57
no DOI — not checkedref59
no DOI — not checkedTackling face verification edge cases: In-depth analysis and humanmachine fusion approach
no DOI — not checkedref61
no DOI — not checkedHuman-in-the-loop interpretability prior
no DOI — not checkedWill artificial intelligence replace radiologists?
no DOI — not checkedA human-ai collaborative approach for clinical decision making on rehabilitation assessment
no DOI — not checkedref67
no DOI — not checkedMachine learning methods to detect money laundering in the bitcoin blockchain in the presence of label scarcity
no DOI — not checkedref72
no DOI — not checkedThe security of latent dirichlet allocation
no DOI — not checkedUsing machine teaching to identify optimal training-set attacks on machine learners
no DOI — not checkedref75
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no DOI — not checkedref80
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no DOI — not checkedTraining language models to follow instructions with human feedback
no DOI — not checkedref85
no DOI — not checkedOptimal teaching for limited-capacity human learners
no DOI — not checkedref88
no DOI — not checkedref89
no DOI — not checkedref90
no DOI — not checkedLearning multiple visual domains with residual adapters
no DOI — not checkedref93
no DOI — not checkedref96
no DOI — not checkedAmbiguous dynamic treatment regimes: A reinforcement learning approach
no DOI — not checkedIntegrative cell formation and layout design in cellular manufacturing systems
no DOI — not checkedref100
no DOI — not checkedFrom theories to queries: Active learning in practice. Active learning and experimental design workshop in conjunction
no DOI — not checkedref106
no DOI — not checkedref107
no DOI — not checkedref110
no DOI — not checkedOn priming by a sentence context
no DOI — not checkedLearning to summarize with human feedback
no DOI — not checkedref113
no DOI — not checkedref114
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no DOI — not checkedref118
no DOI — not checkedref119
no DOI — not checkedAttention is all you need
no DOI — not checkedref124
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no DOI — not checkedChain-of-thought prompting elicits reasoning in large language models
no DOI — not checkedref129
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no DOI — not checkedref132
no DOI — not checkedref133
no DOI — not checkedMachine teaching: An inverse problem to machine learning and an approach toward optimal education
no DOI — not checkedref135
no DOI — not checkedref136
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