Andrew Lan
28 papers · 2016–2026 · 8 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (67) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Dynamic Duo
(10)
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Keyword Champion
(4)
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Keyword Pioneer
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Deep Specialist
(10)
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Renaissance Researcher
(8)
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Unstoppable Β· Bronze
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The Questioner
(3)
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Prolific Year Β· Productive
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Century Club Β· Bronze
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Keyword Collector
(146)
Top co-authors
Research topics
Machine Learning
(18)
Artificial Intelligence
(17)
Core AI
(16)
Natural Language Processing
(14)
Generation
(12)
Deep Learning
(10)
Learning Types Β· Machine Learning
(9)
Optimization & Theory
(8)
Interdisciplinary
(7)
Application Areas
(7)
Core Methods
(6)
Education
(6)
Learning Types Β· Deep Learning
(6)
Applications
(5)
Models
(5)
Keywords
large language model
(9)
language model
(4)
distractor generation
(4)
item response theory
(4)
text generation
(4)
question generation
(4)
math education
(3)
multiple-choice question
(3)
direct preference optimization
(3)
language learning
(3)
error modeling
(2)
tutoring dialogue
(2)
mnemonic generation
(2)
vocabulary acquisition
(2)
data augmentation
(2)
math word problem
(2)
differentiable programming
(2)
reinforcement learning
(2)
natural language generation
(1)
cross-lingual transfer
(1)
Papers
KASER: Knowledge-Aligned Student Error Simulator for Open-Ended Coding Tasks
ACL 2026
Simulated Students in Tutoring Dialogues: Substance or Illusion?
ACL 2026
Exploring LLMs for Predicting Tutor Strategy and Student Outcomes in Dialogues
ACL 2025
Interpretable Mnemonic Generation for Kanji Learning via Expectation-Maximization
EMNLP 2025
LookAlike: Consistent Distractor Generation in Math MCQs
ACL 2025
PhoniTale: Phonologically Grounded Mnemonic Generation for Typologically Distant Language Pairs
EMNLP 2025
SMART: Simulated Students Aligned with Item Response Theory for Question Difficulty Prediction
EMNLP 2025
Whose story is it? Personalizing story generation by inferring author styles
IJCNLP 2025
DiVERT: Distractor Generation with Variational Errors Represented as Text for Math Multiple-choice Questions
EMNLP 2024
Exploring Automated Distractor Generation for Math Multiple-choice Questions via Large Language Models
NAACL 2024
Exploring Automated Keyword Mnemonics Generation with Large Language Models via Overgenerate-and-Rank
EMNLP 2024
Improving Automated Distractor Generation for Math Multiple-choice Questions with Overgenerate-and-rank
NAACL 2024
Improving Socratic Question Generation using Data Augmentation and Preference Optimization
NAACL 2024
SyllabusQA: A Course Logistics Question Answering Dataset
ACL 2024
DiFA: Differentiable Feature Acquisition
AAAI 2023
Improving Reading Comprehension Question Generation with Data Augmentation and Overgenerate-and-rank
ACL 2023
Interpretable Math Word Problem Solution Generation via Step-by-step Planning
ACL 2023
Tree-Based Representation and Generation of Natural and Mathematical Language
ACL 2023
DiPS: Differentiable Policy for Sketching in Recommender Systems
AAAI 2022
Open-ended Knowledge Tracing for Computer Science Education
EMNLP 2022
BOBCAT: Bilevel Optimization-Based Computerized Adaptive Testing
IJCAI 2021
Do We Really Need Gold Samples for Sample Weighting Under Label Noise?
WACV 2021
Math Word Problem Generation with Mathematical Consistency and Problem Context Constraints
EMNLP 2021
Robust and Interpretable Grounding of Spatial References with Relation Networks
EMNLP 2020
An Estimation and Analysis Framework for the Rasch Model
ICML 2018
Linear Spectral Estimators and an Application to Phase Retrieval
ICML 2018
RHash: Robust Hashing via L_infinity-norm Distortion
IJCAI 2017
Dealbreaker: A Nonlinear Latent Variable Model for Educational Data
ICML 2016