Naiming Liu - RankMe

41 papers A* 1A 2Misc 3Journal 24Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	CLEAR-3K: Assessing Causal Explanatory Capabilities in Language Models. EACL (Findings) Naiming Liu, Richard G. Baraniuk, Shashank Sonkar
2026	J	`jnl`	Circuit Complexity of Hierarchical Knowledge Tracing and Implications for Log-Precision Transformers. CoRR Naiming Liu, Richard G. Baraniuk, Shashank Sonkar
2026	J	`jnl`	MalruleLib: Large-Scale Executable Misconception Reasoning with Step Traces for Modeling Student Thinking in Mathematics. CoRR Xinghe Chen, Naiming Liu, Shashank Sonkar
2026	J	`jnl`	MetaCLASS: Metacognitive Coaching for Learning with Adaptive Self-regulation Support. CoRR Naiming Liu, Richard G. Baraniuk, Shashank Sonkar
2026	J	`jnl`	Scalable Generation and Validation of Isomorphic Physics Problems with GenAI. CoRR Naiming Liu, Leo Murch, Spencer Moore, Tong Wan, Shashank Sonkar, Richard G. Baraniuk, Zhongzhou Chen
2025	A	`conf`	Atomic Learning Objectives and LLMs Labeling: A High-Resolution Approach for Physics Education. LAK Naiming Liu, Shashank Sonkar, Debshila Basu Mallick, Richard G. Baraniuk, Zhongzhou Chen
2025	J	`jnl`	CLEAR-3K: Assessing Causal Explanatory Capabilities in Language Models. CoRR Naiming Liu, Richard G. Baraniuk, Shashank Sonkar
2025	J	`jnl`	Do LLMs Make Mistakes Like Students? Exploring Natural Alignment between Language Models and Human Error Patterns. CoRR Naiming Liu, Shashank Sonkar, Richard G. Baraniuk
2025	—	`conf`	Do LLMs Make Mistakes Like Students? Exploring Natural Alignments Between Language Models and Human Error Patterns. AIED (4) Naiming Liu, Shashank Sonkar, Richard G. Baraniuk
2025	J	`jnl`	Learning Context: A Unified Framework and Roadmap for Context-Aware AI in Education. CoRR Naiming Liu, Brittany C. Bradford, Johaun Hatchett, Gabriel Diaz, Lorenzo Luzi, Zichao Wang, Debshila Basu Mallick, Richard G. Baraniuk
2025	—	`conf`	Many-Shot Regurgitation Prompting. AIED (5) Shashank Sonkar, Naiming Liu, Richard G. Baraniuk
2025	J	`jnl`	The Imitation Game for Educational AI. CoRR Shashank Sonkar, Naiming Liu, Xinghe Chen, Richard G. Baraniuk
2025	—	`conf`	Training LLM-Based Tutors to Improve Student Learning Outcomes in Dialogues. AIED (1) Alexander Scarlatos, Naiming Liu, Jaewook Lee, Richard G. Baraniuk, Andrew S. Lan
2025	J	`jnl`	Training LLM-based Tutors to Improve Student Learning Outcomes in Dialogues. CoRR Alexander Scarlatos, Naiming Liu, Jaewook Lee, Richard G. Baraniuk, Andrew S. Lan
2025	—	`conf`	Turing-Like Test for Personalized Educational AI. AIED (6) Shashank Sonkar, Naiming Liu, Xinghe Chen, Richard G. Baraniuk
2024	J	`jnl`	Atomic Learning Objectives Labeling: A High-Resolution Approach for Physics Education. CoRR Naiming Liu, Shashank Sonkar, Debshila Basu Mallick, Richard G. Baraniuk, Zhongzhou Chen
2024	A	`conf`	Code Soliloquies for Accurate Calculations in Large Language Models. LAK Shashank Sonkar, Xinghe Chen, Myco Le, Naiming Liu, Debshila Basu Mallick, Richard G. Baraniuk
2024	J	`jnl`	LLM-based Cognitive Models of Students with Misconceptions. CoRR Shashank Sonkar, Xinghe Chen, Naiming Liu, Richard G. Baraniuk, Mrinmaya Sachan
2024	J	`jnl`	MalAlgoQA: A Pedagogical Approach for Evaluating Counterfactual Reasoning Abilities. CoRR Naiming Liu, Shashank Sonkar, Myco Le, Richard G. Baraniuk
2024	—	`conf`	MalAlgoQA: Pedagogical Evaluation of Counterfactual Reasoning in Large Language Models and Implications for AI in Education. EMNLP (Findings) Shashank Sonkar, Naiming Liu, Myco Le, Richard G. Baraniuk
2024	—	`conf`	Marking: Visual Grading with Highlighting Errors and Annotating Missing Bits. AIED (1) Shashank Sonkar, Naiming Liu, Debshila Basu Mallick, Richard G. Baraniuk
2024	J	`jnl`	Marking: Visual Grading with Highlighting Errors and Annotating Missing Bits. CoRR Shashank Sonkar, Naiming Liu, Debshila Basu Mallick, Richard G. Baraniuk
2024	J	`jnl`	Regressive Side Effects of Training Language Models to Mimic Student Misconceptions. CoRR Shashank Sonkar, Naiming Liu, Richard G. Baraniuk
2024	—	`conf`	Student Data Paradox and Curious Case of Single Student-Tutor Model: Regressive Side Effects of Training LLMs for Personalized Learning. EMNLP (Findings) Shashank Sonkar, Naiming Liu, Richard G. Baraniuk
2024	J	`jnl`	Synthetic Context Generation for Question Generation. CoRR Naiming Liu, Zichao Wang, Richard G. Baraniuk
2024	Misc	`conf`	Titan: Bringing the Deep Image Prior to Implicit Representations. ICASSP Lorenzo Luzi, Daniel LeJeune, Ali Siahkoohi, Sina Alemohammad, Vishwanath Saragadam, Hossein Babaei, Naiming Liu, Zichao Wang, Richard G. Baraniuk
2023	—	`conf`	CLASS: A Design Framework for Building Intelligent Tutoring Systems Based on Learning Science principles. EMNLP (Findings) Shashank Sonkar, Naiming Liu, Debshila Basu Mallick, Richard G. Baraniuk
2023	J	`jnl`	Code Soliloquies for Accurate Calculations in Large Language Models. CoRR Shashank Sonkar, Myco Le, Xinghe Chen, Naiming Liu, Debshila Basu Mallick, Richard G. Baraniuk
2023	J	`jnl`	Novice Learner and Expert Tutor: Evaluating Math Reasoning Abilities of Large Language Models with Misconceptions. CoRR Naiming Liu, Shashank Sonkar, Zichao Wang, Simon Woodhead, Richard G. Baraniuk
2022	J	`jnl`	A Visual Tour Of Current Challenges In Multimodal Language Models. CoRR Shashank Sonkar, Naiming Liu, Richard G. Baraniuk
2022	J	`jnl`	A survey of visual analytics techniques for online education. Vis. Informatics Xiaoyan Kui, Naiming Liu, Qiang Liu, Jingwei Liu, Xiaoqian Zeng, Chao Zhang
2022	—	`conf`	Automated Scoring for Reading Comprehension via In-context BERT Tuning. AIED (1) Nigel Fernandez, Aritra Ghosh, Naiming Liu, Zichao Wang, Benoît Choffin, Richard G. Baraniuk, Andrew S. Lan
2022	J	`jnl`	Automated Scoring for Reading Comprehension via In-context BERT Tuning. CoRR Nigel Fernandez, Aritra Ghosh, Naiming Liu, Zichao Wang, Benoît Choffin, Richard G. Baraniuk, Andrew S. Lan
2022	Misc	`conf`	NFT-K: Non-Fungible Tangent Kernels. ICASSP Sina Alemohammad, Hossein Babaei, C. J. Barberan, Naiming Liu, Lorenzo Luzi, Blake Mason, Richard G. Baraniuk
2022	—	`conf`	NeuroView-RNN: It's About Time. FAccT C. J. Barberan, Sina Alemohammad, Naiming Liu, Randall Balestriero, Richard G. Baraniuk
2022	J	`jnl`	NeuroView-RNN: It's About Time. CoRR C. J. Barberan, Sina Alemohammad, Naiming Liu, Randall Balestriero, Richard G. Baraniuk
2022	J	`jnl`	Open-Ended Knowledge Tracing. CoRR Naiming Liu, Zichao Wang, Richard G. Baraniuk, Andrew S. Lan
2022	A*	`conf`	Open-ended Knowledge Tracing for Computer Science Education. EMNLP Naiming Liu, Zichao Wang, Richard G. Baraniuk, Andrew S. Lan
2021	J	`jnl`	NFT-K: Non-Fungible Tangent Kernels. CoRR Sina Alemohammad, Hossein Babaei, C. J. Barberan, Naiming Liu, Lorenzo Luzi, Blake Mason, Richard G. Baraniuk
2021	Misc	`conf`	Wearing A Mask: Compressed Representations of Variable-Length Sequences Using Recurrent Neural Tangent Kernels. ICASSP 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
2020	J	`jnl`	Wearing a MASK: Compressed Representations of Variable-Length Sequences Using Recurrent Neural Tangent Kernels. CoRR 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