John P. Lalor

38 papers A* 1C 4Misc 2Journal 23Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
TopoCL: Topological Contrastive Learning for Medical Imaging.
CoRR
Guangyu Meng, Pengfei Gu, Peixian Liang, John P. Lalor, Erin Wolf Chambers, Danny Z. Chen
2025 J jnl
Benchmarking Sociolinguistic Diversity in Swahili NLP: A Taxonomy-Guided Approach.
CoRR
Kezia Oketch, John P. Lalor, Ahmed Abbasi
2025 J jnl
Bridging the LLM Accessibility Divide? Performance, Fairness, and Cost of Closed versus Open LLMs for Automated Essay Scoring.
CoRR
Kezia Oketch, John P. Lalor, Yi Yang, Ahmed Abbasi
2025 C conf
Cultural Artifacts, Tribal Heterogeneity, and Language Models.
ICIS
Kezia Oketch, John P. Lalor, Ahmed Abbasi
2025 J jnl
From Stars to Insights: Exploration and Implementation of Unified Sentiment Analysis with Distant Supervision.
ACM Trans. Manag. Inf. Syst.
Wenchang Li, John P. Lalor, Yixing Chen, Vamsi K. Kanuri
2025 — conf
GALEA - Leveraging Generative Agents in Artifact Evaluation.
DESRIST (1)
Nicolas Prat, John P. Lalor, Ahmed Abbasi
2025 J jnl
Hierarchical Deep Document Model.
IEEE Trans. Knowl. Data Eng.
Yi Yang, John P. Lalor, Ahmed Abbasi, Daniel Dajun Zeng
2025 — conf
No Simple Answer to Data Complexity: An Examination of Instance-Level Complexity Metrics for Classification Tasks.
NAACL (Long Papers)
Ryan A. Cook, John P. Lalor, Ahmed Abbasi
2025 J jnl
PersonaTwin: A Multi-Tier Prompt Conditioning Framework for Generating and Evaluating Personalized Digital Twins.
CoRR
Sihan Chen, John P. Lalor, Yi Yang, Ahmed Abbasi
2025 — conf
Textagon: Boosting Language Models with Theory-guided Parallel Representations.
ACL (3)
John P. Lalor, Ruiyang Qin, David G. Dobolyi, Ahmed Abbasi
2025 J jnl
art.
IEEE Intell. Syst.
Ramayya Krishnan, John P. Lalor, Nicolas Prat, Ahmed Abbasi
2024 J jnl
A Psychology-based Unified Dynamic Framework for Curriculum Learning.
CoRR
Guangyu Meng, Qingkai Zeng, John P. Lalor, Hong Yu
2024 J jnl
Large Language Model-based Role-Playing for Personalized Medical Jargon Extraction.
CoRR
Jung Hoon Lim, Sunjae Kwon, Zonghai Yao, John P. Lalor, Hong Yu
2024 J jnl
Should Fairness be a Metric or a Model? A Model-based Framework for Assessing Bias in Machine Learning Pipelines.
ACM Trans. Inf. Syst.
John P. Lalor, Ahmed Abbasi, Kezia Oketch, Yi Yang, Nicole Forsgren
2023 J jnl
Bias A-head? Analyzing Bias in Transformer-Based Language Model Attention Heads.
CoRR
Yi Yang, Hanyu Duan, Ahmed Abbasi, John P. Lalor, Kar Yan Tam
2023 J jnl
Business Analytics in Healthcare: Past, Present, and Future Trends.
Manuf. Serv. Oper. Manag.
Kaitlin D. Wowak, John P. Lalor, Sriram Somanchi, Corey M. Angst
2023 J jnl
Evaluating the efficacy of NoteAid on EHR note comprehension among US Veterans through Amazon Mechanical Turk.
Int. J. Medical Informatics
John P. Lalor, Hao Wu, Kathleen M. Mazor, Hong Yu
2023 J jnl
H-COAL: Human Correction of AI-Generated Labels for Biomedical Named Entity Recognition.
CoRR
Xiaojing Duan, John P. Lalor
2023 J jnl
Stars Are All You Need: A Distantly Supervised Pyramid Network for Document-Level End-to-End Sentiment Analysis.
CoRR
Wenchang Li, Yixing Chen, John P. Lalor
2022 J jnl
Measuring algorithmic interpretability: A human-learning-based framework and the corresponding cognitive complexity score.
CoRR
John P. Lalor, Hong Guo
2022 J jnl
py-irt: A Scalable Item Response Theory Library for Python.
CoRR
John P. Lalor, Pedro Rodríguez
2021 — conf
Constructing a Psychometric Testbed for Fair Natural Language Processing.
EMNLP (1)
Ahmed Abbasi, David G. Dobolyi, John P. Lalor, Richard G. Netemeyer, Kendall Smith, Yi Yang
2021 — conf
Evaluation Examples are not Equally Informative: How should that change NLP Leaderboards?
ACL/IJCNLP (1)
Pedro Rodriguez, Joe Barrow, Alexander Miserlis Hoyle, John P. Lalor, Robin Jia, Jordan L. Boyd-Graber
2021 C conf
The Effect of Bots on Human Interaction in Online Communities.
ICIS
Hani Safadi, John P. Lalor, Nicholas Berente
2021 C conf
The Illusion of Certainty and Data-Driven Decision Making in Emergent Situations.
ICIS
Nicholas Berente, John P. Lalor, Sriram Somanchi, Ahmed Abbasi
2020 — conf
An Empirical Analysis of Human-Bot Interaction on Reddit.
W-NUT@EMNLP
Ming-Cheng Ma, John P. Lalor
2020 — conf
Dynamic Data Selection for Curriculum Learning via Ability Estimation.
EMNLP (Findings)
John P. Lalor, Hong Yu
2020 J jnl
Dynamic Data Selection for Curriculum Learning via Ability Estimation.
CoRR
John P. Lalor, Hong Yu
2019 C conf
Efficient Semi-Supervised Learning for Natural Language Understanding by Optimizing Diversity.
ASRU
Eunah Cho, He Xie, John P. Lalor, Varun Kumar, William M. Campbell
2019 J jnl
Efficient Semi-Supervised Learning for Natural Language Understanding by Optimizing Diversity.
CoRR
Eunah Cho, He Xie, John P. Lalor, Varun Kumar, William M. Campbell
2019 — conf
Learning Latent Parameters without Human Response Patterns: Item Response Theory with Artificial Crowds.
EMNLP/IJCNLP (1)
John P. Lalor, Hao Wu, Hong Yu
2019 J jnl
Learning Latent Parameters without Human Response Patterns: Item Response Theory with Artificial Crowds.
CoRR
John P. Lalor, Hao Wu, Hong Yu
2018 Misc conf
Detecting Hypoglycemia Incidents from Patients' Secure Messages.
AMIA
Jinying Chen, John P. Lalor, Hong Yu
2017 J jnl
An Analysis of Machine Learning Intelligence.
CoRR
John P. Lalor, Hao Wu, Tsendsuren Munkhdalai, Hong Yu
2017 Misc conf
Generating a Test of Electronic Health Record Narrative Comprehension with Item Response Theory.
AMIA
John P. Lalor, Hao Wu, Li Chen, Kathleen M. Mazor, Hong Yu
2017 J jnl
Improving Machine Learning Ability with Fine-Tuning.
CoRR
John P. Lalor, Hao Wu, Hong Yu
2016 J jnl
Beyond Majority Voting: Generating Evaluation Scales using Item Response Theory.
CoRR
John P. Lalor, Hao Wu, Hong Yu
2016 A* conf
Building an Evaluation Scale using Item Response Theory.
EMNLP
John P. Lalor, Hao Wu, Hong Yu