John P. Lalor
14 papers · 2016–2026 · 5 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (39) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π
Keyword Champion
(2)
ποΈ
Keyword Collector
(75)
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Trend Setter
π
Renaissance Researcher
(6)
β
The Questioner
(3)
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Prolific Year Β· Productive
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Century Club Β· Bronze
Top co-authors
Research topics
Machine Learning
(12)
Artificial Intelligence
(7)
Natural Language Processing
(7)
Learning Types Β· Machine Learning
(7)
Core AI
(6)
Optimization & Theory Β· Machine Learning
(6)
Deep Learning
(5)
Applications
(5)
Resources & Methods
(3)
Interdisciplinary
(2)
Application Areas
(2)
Bayesian & Probabilistic
(2)
Core Methods
(2)
Learning Types Β· Deep Learning
(2)
Optimization & Theory Β· Deep Learning
(2)
Keywords
sentiment analysis
(3)
text classification
(3)
large language model
(3)
natural language inference
(2)
item response theory
(2)
model evaluation
(2)
representation learning
(2)
fairness evaluation
(2)
psychometric analysis
(2)
model fairness
(2)
bayesian inference
(1)
lexical semantics
(1)
social media analysis
(1)
prompt engineering
(1)
few-shot learning
(1)
model probing
(1)
personalized generation
(1)
deep learning
(1)
curriculum learning
(1)
zero-shot learning
(1)
Papers
TopoCL: Topological Contrastive Learning for Medical Imaging
CVPR 2026
Bias A-head? Analyzing Bias in Transformer-Based Language Model Attention Heads
NAACL 2025
Bridging the LLM Accessibility Divide? Performance, Fairness, and Cost of Closed versus Open LLMs for Automated Essay Scoring
ACL 2025
No Simple Answer to Data Complexity: An Examination of Instance-Level Complexity Metrics for Classification Tasks
NAACL 2025
PersonaTwin: A Multi-Tier Prompt Conditioning Framework for Generating and Evaluating Personalized Digital Twins
ACL 2025
Textagon: Boosting Language Models with Theory-guided Parallel Representations
ACL 2025
Item Response Theory for Natural Language Processing
EACL 2024
Constructing a Psychometric Testbed for Fair Natural Language Processing
EMNLP 2021
Evaluation Examples are not Equally Informative: How should that change NLP Leaderboards?
ACL 2021
An Empirical Analysis of Human-Bot Interaction on Reddit
EMNLP 2020
Dynamic Data Selection for Curriculum Learning via Ability Estimation
EMNLP 2020
Learning Latent Parameters without Human Response Patterns: Item Response Theory with Artificial Crowds
EMNLP 2019
Understanding Deep Learning Performance through an Examination of Test Set Difficulty: A Psychometric Case Study
EMNLP 2018
Building an Evaluation Scale using Item Response Theory
EMNLP 2016