Maria Perez-Ortiz
9 papers · 2019–2026 · 5 conferences · across top CS/AI conferences
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π§ Keyword Pioneer π Conference Polyglot (5) π Academic Marathon (6) π Cross-Pollinator (5) π Renaissance Researcher (7)
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Interdisciplinary Bridge
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(25)
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The Questioner
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Keyword Collector
(54)
Conferences
AAAI (4)
JMLR (2)
ACL (1)
EMNLP (1)
NAACL (1)
Top co-authors
Research topics
Keywords
large language model
(3)
knowledge tracing
(2)
gender bia
(2)
bias detection
(2)
educational recommendation
(2)
educational technology
(1)
knowledge graph
(1)
bayesian inference
(1)
lifelong learning
(1)
online learning algorithm
(1)
item response theory
(1)
pac-bayes bound
(1)
bias mitigation
(1)
counterfactual reasoning
(1)
educational data mining
(1)
classification algorithm
(1)
recommender system
(1)
label distribution
(1)
recommendation system
(1)
performance metric
(1)
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
The Probabilities Also Matter: A More Faithful Metric for Faithfulness of Free-Text Explanations in Large Language Models
ACL 2024
JobFair: A Framework for Benchmarking Gender Hiring Bias in Large Language Models
EMNLP 2024
A Toolbox for Modelling Engagement with Educational Videos
AAAI 2024
Tighter Risk Certificates for Neural Networks
JMLR 2021
TrueLearn: A Family of Bayesian Algorithms to Match Lifelong Learners to Open Educational Resources
AAAI 2020
Towards an Integrative Educational Recommender for Lifelong Learners (Student Abstract)
AAAI 2020
ORCA: A Matlab/Octave Toolbox for Ordinal Regression
JMLR 2019