Sonispace: a simulated-space interface for sound design and experimentation. - Alexander Scarlatos (CoRR, 2020)

Process-BERT: A Framework for Representation Learning on Educational Process Data. - Alexander Scarlatos; Christopher Brinton 001; Andrew S. Lan (EDM, 2022)

UMass PCL at SemEval-2022 Task 4: Pre-trained Language Model Ensembles for Detecting Patronizing and Condescending Language. - David Koleczek; Alexander Scarlatos; Preshma Linet Pereira; Siddha Makarand Karkare (SemEval@NAACL, 2022)

Tree-Based Representation and Generation of Natural and Mathematical Language. - Alexander Scarlatos; Andrew S. Lan (ACL (1), 2023)

RetICL: Sequential Retrieval of In-Context Examples with Reinforcement Learning. - Alexander Scarlatos; Andrew S. Lan (CoRR, 2023)

Exploring Automated Distractor and Feedback Generation for Math Multiple-choice Questions via In-context Learning. - Hunter McNichols; Wanyong Feng; Jaewook Lee 006; Alexander Scarlatos; Digory Smith; Simon Woodhead 002; Andrew S. Lan (CoRR, 2023)

SyllabusQA: A Course Logistics Question Answering Dataset. - Nigel Fernandez; Alexander Scarlatos; Andrew S. Lan (ACL (1), 2024)

Improving the Validity of Automatically Generated Feedback via Reinforcement Learning. - Alexander Scarlatos; Digory Smith; Simon Woodhead 002; Andrew S. Lan (AIED (1), 2024)

Improving Automated Distractor Generation for Math Multiple-choice Questions with Overgenerate-and-rank. - Alexander Scarlatos; Wanyong Feng; Andrew S. Lan; Simon Woodhead 002; Digory Smith (BEA, 2024)

DiVERT: Distractor Generation with Variational Errors Represented as Text for Math Multiple-choice Questions. - Nigel Fernandez; Alexander Scarlatos; Wanyong Feng; Simon Woodhead 002; Andrew S. Lan (EMNLP, 2024)

Adaptive Accompaniment with ReaLchords. - Yusong Wu; Tim Cooijmans; Kyle Kastner; Adam Roberts; Ian Simon; Alexander Scarlatos; Chris Donahue; Cassie Tarakajian; Shayegan Omidshafiei; Aaron C. Courville; Pablo Samuel Castro; Natasha Jaques; et al. (ICML, 2024)

Exploring Automated Distractor Generation for Math Multiple-choice Questions via Large Language Models. - Wanyong Feng; Jaewook Lee 006; Hunter McNichols; Alexander Scarlatos; Digory Smith; Simon Woodhead 002; Nancy Otero Ornelas; Andrew S. Lan (NAACL-HLT (Findings), 2024)

DiVERT: Distractor Generation with Variational Errors Represented as Text for Math Multiple-choice Questions. - Nigel Fernandez; Alexander Scarlatos; Simon Woodhead 002; Andrew S. Lan (CoRR, 2024)

Exploring Knowledge Tracing in Tutor-Student Dialogues. - Alexander Scarlatos; Andrew S. Lan (CoRR, 2024)

Evaluating GPT-4 at Grading Handwritten Solutions in Math Exams. - Adriana Caraeni; Alexander Scarlatos; Andrew S. Lan (CoRR, 2024)

Training LLM-Based Tutors to Improve Student Learning Outcomes in Dialogues. - Alexander Scarlatos; Naiming Liu; Jaewook Lee 006; Richard G. Baraniuk; Andrew S. Lan (AIED (1), 2025)

ReaLJam: Real-Time Human-AI Music Jamming with Reinforcement Learning-Tuned Transformers. - Alexander Scarlatos; Yusong Wu; Ian Simon; Adam Roberts; Tim Cooijmans; Natasha Jaques; Cassie Tarakajian; Cheng-Zhi Anna Huang (CHI Extended Abstracts, 2025)

Exploring Knowledge Tracing in Tutor-Student Dialogues using LLMs. - Alexander Scarlatos; Ryan Shaun Baker; Andrew S. Lan (LAK, 2025)

LookAlike: Consistent Distractor Generation in Math MCQs. - Nisarg Parikh; Nigel Fernandez; Alexander Scarlatos; Simon Woodhead 002; Andrew S. Lan (CoRR, 2025)

SMART: Simulated Students Aligned with Item Response Theory for Question Difficulty Prediction. - Alexander Scarlatos; Nigel Fernandez; Christopher Ormerod; Susan Lottridge; Andrew S. Lan (CoRR, 2025)

Interpretable Mnemonic Generation for Kanji Learning via Expectation-Maximization. - Jaewook Lee; Alexander Scarlatos; Andrew S. Lan (CoRR, 2025)

Exploring LLMs for Predicting Tutor Strategy and Student Outcomes in Dialogues. - Fareya Ikram; Alexander Scarlatos; Andrew S. Lan (CoRR, 2025)