Maria Perez-Ortiz
9 papers · 2019–2026 · 5 venues · across top CS/AI venues
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large language model
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knowledge tracing
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gender bia
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bias detection
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educational recommendation
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educational technology
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knowledge graph
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bayesian inference
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lifelong learning
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online learning algorithm
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item response theory
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pac-bayes bound
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bias mitigation
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counterfactual reasoning
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educational data mining
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classification algorithm
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recommender system
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label distribution
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Papers
AgentGraph: Trace-to-Graph Platform for Interactive Analysis and Robustness Testing in Agentic AI Systems
AAAI 2026
How Can We Diagnose and Treat Bias in Large Language Models for Clinical Decision-Making?
NAACL 2025
A Toolbox for Modelling Engagement with Educational Videos
AAAI 2024
JobFair: A Framework for Benchmarking Gender Hiring Bias in Large Language Models
EMNLP 2024
The Probabilities Also Matter: A More Faithful Metric for Faithfulness of Free-Text Explanations in Large Language Models
ACL 2024
Tighter Risk Certificates for Neural Networks
JMLR 2021
Towards an Integrative Educational Recommender for Lifelong Learners (Student Abstract)
AAAI 2020
TrueLearn: A Family of Bayesian Algorithms to Match Lifelong Learners to Open Educational Resources
AAAI 2020
ORCA: A Matlab/Octave Toolbox for Ordinal Regression
JMLR 2019