Wearing A Mask: Compressed Representations of Variable-Length Sequences Using Recurrent Neural Tangent Kernels. - Sina Alemohammad; Hossein Babaei; Randall Balestriero; Matt Y. Cheung; Ahmed Imtiaz Humayun; Daniel LeJeune; Naiming Liu; Lorenzo Luzi; Jasper Tan; Zichao Wang 001; Richard G. Baraniuk (ICASSP, 2021)

Automated Scoring for Reading Comprehension via In-context BERT Tuning. - Nigel Fernandez; Aritra Ghosh 001; Naiming Liu; Zichao Wang 001; Benoît Choffin; Richard G. Baraniuk; Andrew S. Lan (AIED (1), 2022)

Open-ended Knowledge Tracing for Computer Science Education. - Naiming Liu; Zichao Wang 001; Richard G. Baraniuk; Andrew S. Lan (EMNLP, 2022)

NeuroView-RNN: It's About Time. - C. J. Barberan; Sina Alemmohammad; Naiming Liu; Randall Balestriero; Richard G. Baraniuk (FAccT, 2022)

NFT-K: Non-Fungible Tangent Kernels. - Sina Alemohammad; Hossein Babaei; C. J. Barberan; Naiming Liu; Lorenzo Luzi; Blake Mason; Richard G. Baraniuk (ICASSP, 2022)

NeuroView-RNN: It's About Time. - C. J. Barberan; Sina Alemohammad; Naiming Liu; Randall Balestriero; Richard G. Baraniuk (CoRR, 2022)

Open-Ended Knowledge Tracing. - Naiming Liu; Zichao Wang 001; Richard G. Baraniuk; Andrew S. Lan (CoRR, 2022)

A Visual Tour Of Current Challenges In Multimodal Language Models. - Shashank Sonkar; Naiming Liu; Richard G. Baraniuk (CoRR, 2022)

A survey of visual analytics techniques for online education. - Xiaoyan Kui; Naiming Liu; Qiang Liu; Jingwei Liu; Xiaoqian Zeng; Chao Zhang 005 (Vis. Informatics, 2022)

CLASS: A Design Framework for Building Intelligent Tutoring Systems Based on Learning Science principles. - Shashank Sonkar; Naiming Liu; Debshila Basu Mallick; Richard G. Baraniuk (EMNLP (Findings), 2023)

Novice Learner and Expert Tutor: Evaluating Math Reasoning Abilities of Large Language Models with Misconceptions. - Naiming Liu; Shashank Sonkar; Zichao Wang 001; Simon Woodhead 002; Richard G. Baraniuk (CoRR, 2023)

Marking: Visual Grading with Highlighting Errors and Annotating Missing Bits. - Shashank Sonkar; Naiming Liu; Debshila Basu Mallick; Richard G. Baraniuk (AIED (1), 2024)

Student Data Paradox and Curious Case of Single Student-Tutor Model: Regressive Side Effects of Training LLMs for Personalized Learning. - Shashank Sonkar; Naiming Liu; Richard G. Baraniuk (EMNLP (Findings), 2024)

MalAlgoQA: Pedagogical Evaluation of Counterfactual Reasoning in Large Language Models and Implications for AI in Education. - Shashank Sonkar; Naiming Liu; Myco Le; Richard G. Baraniuk (EMNLP (Findings), 2024)

Titan: Bringing the Deep Image Prior to Implicit Representations. - Lorenzo Luzi; Daniel LeJeune; Ali Siahkoohi; Sina Alemohammad; Vishwanath Saragadam; Hossein Babaei; Naiming Liu; Zichao Wang 001; Richard G. Baraniuk (ICASSP, 2024)

Code Soliloquies for Accurate Calculations in Large Language Models. - Shashank Sonkar; Xinghe Chen; Myco Le; Naiming Liu; Debshila Basu Mallick; Richard G. Baraniuk (LAK, 2024)

Regressive Side Effects of Training Language Models to Mimic Student Misconceptions. - Shashank Sonkar; Naiming Liu; Richard G. Baraniuk (CoRR, 2024)

Synthetic Context Generation for Question Generation. - Naiming Liu; Zichao Wang 001; Richard G. Baraniuk (CoRR, 2024)

MalAlgoQA: A Pedagogical Approach for Evaluating Counterfactual Reasoning Abilities. - Naiming Liu; Shashank Sonkar; Myco Le; Richard G. Baraniuk (CoRR, 2024)

LLM-based Cognitive Models of Students with Misconceptions. - Shashank Sonkar; Xinghe Chen; Naiming Liu; Richard G. Baraniuk; Mrinmaya Sachan (CoRR, 2024)

Atomic Learning Objectives Labeling: A High-Resolution Approach for Physics Education. - Naiming Liu; Shashank Sonkar; Debshila Basu Mallick; Richard G. Baraniuk; Zhongzhou Chen (CoRR, 2024)

Do LLMs Make Mistakes Like Students? Exploring Natural Alignments Between Language Models and Human Error Patterns. - Naiming Liu; Shashank Sonkar; Richard G. Baraniuk (AIED (4), 2025)

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)

Many-Shot Regurgitation Prompting. - Shashank Sonkar; Naiming Liu; Richard G. Baraniuk (AIED (5), 2025)

Turing-Like Test for Personalized Educational AI. - Shashank Sonkar; Naiming Liu; Xinghe Chen; Richard G. Baraniuk (AIED (6), 2025)

Atomic Learning Objectives and LLMs Labeling: A High-Resolution Approach for Physics Education. - Naiming Liu; Shashank Sonkar; Debshila Basu Mallick; Richard G. Baraniuk; Zhongzhou Chen (LAK, 2025)

The Imitation Game for Educational AI. - Shashank Sonkar; Naiming Liu; Xinghe Chen; Richard G. Baraniuk (CoRR, 2025)

Do LLMs Make Mistakes Like Students? Exploring Natural Alignment between Language Models and Human Error Patterns. - Naiming Liu; Shashank Sonkar; Richard G. Baraniuk (CoRR, 2025)

CLEAR-3K: Assessing Causal Explanatory Capabilities in Language Models. - Naiming Liu; Richard G. Baraniuk; Shashank Sonkar (CoRR, 2025)