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Naiming Liu

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

19

Venues

6

Active years

2021–2026

Best venue rank

A*

Where they publish

Papers

19 indexed papers, newest first.

YearVenueTitleAuthors
2026ACLMalruleLib: Large-Scale Executable Misconception Reasoning with Step Traces for Modeling Student Thinking in Mathematics.Xinghe Chen, Naiming Liu, Shashank Sonkar
2026AIEDCircuit Complexity of Hierarchical Knowledge Tracing.Naiming Liu, Richard G. Baraniuk, Shashank Sonkar
2026AIEDMisconception Acquisition Dynamics in Large Language Models.Naiming Liu, Xinghe Chen, Richard G. Baraniuk, Mrinmaya Sachan, Shashank Sonkar
2026EACLCLEAR-3K: Assessing Causal Explanatory Capabilities in Language Models.Naiming Liu, Richard G. Baraniuk, Shashank Sonkar
2025AIEDDo LLMs Make Mistakes Like Students? Exploring Natural Alignments Between Language Models and Human Error Patterns.Naiming Liu, Shashank Sonkar, Richard G. Baraniuk
2025AIEDTraining LLM-Based Tutors to Improve Student Learning Outcomes in Dialogues.Alexander Scarlatos, Naiming Liu, Jaewook Lee, Richard G. Baraniuk, Andrew S. Lan
2025AIEDMany-Shot Regurgitation Prompting.Shashank Sonkar, Naiming Liu, Richard G. Baraniuk
2025AIEDTuring-Like Test for Personalized Educational AI.Shashank Sonkar, Naiming Liu, Xinghe Chen, Richard G. Baraniuk
2025LAKAtomic Learning Objectives and LLMs Labeling: A High-Resolution Approach for Physics Education.Naiming Liu, Shashank Sonkar, Debshila Basu Mallick, Richard G. Baraniuk, Zhongzhou Chen
2024AIEDMarking: Visual Grading with Highlighting Errors and Annotating Missing Bits.Shashank Sonkar, Naiming Liu, Debshila Basu Mallick, Richard G. Baraniuk
2024EMNLPStudent 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
2024EMNLPMalAlgoQA: Pedagogical Evaluation of Counterfactual Reasoning in Large Language Models and Implications for AI in Education.Shashank Sonkar, Naiming Liu, Myco Le, Richard G. Baraniuk
2024ICASSPTitan: Bringing the Deep Image Prior to Implicit Representations.Lorenzo Luzi, Daniel LeJeune, Ali Siahkoohi, Sina Alemohammad, Vishwanath Saragadam, Hossein Babaei, Naiming Liu, Zichao Wang, Richard G. Baraniuk
2024LAKCode Soliloquies for Accurate Calculations in Large Language Models.Shashank Sonkar, Xinghe Chen, Myco Le, Naiming Liu, Debshila Basu Mallick, Richard G. Baraniuk
2023EMNLPCLASS: A Design Framework for Building Intelligent Tutoring Systems Based on Learning Science principles.Shashank Sonkar, Naiming Liu, Debshila Basu Mallick, Richard G. Baraniuk
2022AIEDAutomated Scoring for Reading Comprehension via In-context BERT Tuning.Nigel Fernandez, Aritra Ghosh, Naiming Liu, Zichao Wang, Benot Choffin, Richard G. Baraniuk, Andrew S. Lan
2022EMNLPOpen-ended Knowledge Tracing for Computer Science Education.Naiming Liu, Zichao Wang, Richard G. Baraniuk, Andrew S. Lan
2022ICASSPNFT-K: Non-Fungible Tangent Kernels.Sina Alemohammad, Hossein Babaei, C. J. Barberan, Naiming Liu, Lorenzo Luzi, Blake Mason, Richard G. Baraniuk
2021ICASSPWearing 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, Richard G. Baraniuk