John P. Lalor
15 papers · 2016–2025 · 5 conferences · across top CS/AI conferences
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Interdisciplinary Bridge
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Conference Polyglot
(5)
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Keyword Champion
(2)
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Prolific Year
(5)
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Century Club
(15)
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The Questioner
(4)
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Conferences
EMNLP (6)
ACL (4)
IJCNLP (2)
NAACL (2)
EACL (1)
Top co-authors
Keywords
sentiment analysis
(4)
large language model
(3)
model evaluation
(3)
natural language inference
(3)
item response theory
(3)
text classification
(3)
latent parameter
(2)
bayesian inference
(2)
artificial crowd
(2)
psychometric analysis
(2)
difficulty estimation
(2)
fairness evaluation
(2)
model fairness
(2)
prompt engineering
(1)
social media analysis
(1)
lexical semantics
(1)
model probing
(1)
latent variable model
(1)
personalized generation
(1)
few-shot learning
(1)
Papers
No Simple Answer to Data Complexity: An Examination of Instance-Level Complexity Metrics for Classification Tasks
NAACL 2025
Textagon: Boosting Language Models with Theory-guided Parallel Representations
ACL 2025
Bridging the LLM Accessibility Divide? Performance, Fairness, and Cost of Closed versus Open LLMs for Automated Essay Scoring
ACL 2025
PersonaTwin: A Multi-Tier Prompt Conditioning Framework for Generating and Evaluating Personalized Digital Twins
ACL 2025
Bias A-head? Analyzing Bias in Transformer-Based Language Model Attention Heads
NAACL 2025
Item Response Theory for Natural Language Processing
EACL 2024
Evaluation Examples are not Equally Informative: How should that change NLP Leaderboards?
ACL 2021
Constructing a Psychometric Testbed for Fair Natural Language Processing
EMNLP 2021
Evaluation Examples are not Equally Informative: How should that change NLP Leaderboards?
IJCNLP 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
IJCNLP 2019
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