Naiming Liu

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 22

Top Topics

Language Models For Information Retrieval

Tutoring System

Top Venues

Publications

Shashank Sonkar, Naiming Liu, Richard G. Baraniuk
Regressive Side Effects of Training Language Models to Mimic Student Misconceptions. CoRR (2024)
Lorenzo Luzi, Daniel LeJeune, Ali Siahkoohi, Sina Alemohammad, Vishwanath Saragadam, Hossein Babaei, Naiming Liu, Zichao Wang, Richard G. Baraniuk
Titan: Bringing the Deep Image Prior to Implicit Representations. ICASSP (2024)
Shashank Sonkar, Xinghe Chen, Myco Le, Naiming Liu, Debshila Basu Mallick, Richard G. Baraniuk
Code Soliloquies for Accurate Calculations in Large Language Models. LAK (2024)
Naiming Liu, Zichao Wang, Richard G. Baraniuk
Synthetic Context Generation for Question Generation. CoRR (2024)
Shashank Sonkar, Naiming Liu, Debshila Basu Mallick, Richard G. Baraniuk
Marking: Visual Grading with Highlighting Errors and Annotating Missing Bits. CoRR (2024)
Shashank Sonkar, Naiming Liu, Debshila Basu Mallick, Richard G. Baraniuk
Marking: Visual Grading with Highlighting Errors and Annotating Missing Bits. AIED (1) (2024)
Naiming Liu, Shashank Sonkar, Myco Le, Richard G. Baraniuk
MalAlgoQA: A Pedagogical Approach for Evaluating Counterfactual Reasoning Abilities. CoRR (2024)
Shashank Sonkar, MyCo Le, Xinghe Chen, Naiming Liu, Debshila Basu Mallick, Richard G. Baraniuk
Code Soliloquies for Accurate Calculations in Large Language Models. CoRR (2023)
Shashank Sonkar, Naiming Liu, Debshila Basu Mallick, Richard G. Baraniuk
CLASS: A Design Framework for Building Intelligent Tutoring Systems Based on Learning Science principles. EMNLP (Findings) (2023)
Naiming Liu, Shashank Sonkar, Zichao Wang, Simon Woodhead, Richard G. Baraniuk
Novice Learner and Expert Tutor: Evaluating Math Reasoning Abilities of Large Language Models with Misconceptions. CoRR (2023)
Shashank Sonkar, Naiming Liu, Richard G. Baraniuk
A Visual Tour Of Current Challenges In Multimodal Language Models. CoRR (2022)
Cj Barberan, Sina Alemmohammad, Naiming Liu, Randall Balestriero, Richard G. Baraniuk
NeuroView-RNN: It's About Time. FAccT (2022)
Sina Alemohammad, Hossein Babaei, C. J. Barberan, Naiming Liu, Lorenzo Luzi, Blake Mason, Richard G. Baraniuk
NFT-K: Non-Fungible Tangent Kernels. ICASSP (2022)
Nigel Fernandez, Aritra Ghosh, Naiming Liu, Zichao Wang, Benoît Choffin, Richard G. Baraniuk, Andrew S. Lan
Automated Scoring for Reading Comprehension via In-context BERT Tuning. AIED (1) (2022)
Xiaoyan Kui, Naiming Liu, Qiang Liu, Jingwei Liu, Xiaoqian Zeng, Chao Zhang
A survey of visual analytics techniques for online education. Vis. Informatics 6 (4) (2022)
Naiming Liu, Zichao Wang, Richard G. Baraniuk, Andrew S. Lan
Open-Ended Knowledge Tracing. CoRR (2022)
Naiming Liu, Zichao Wang, Richard G. Baraniuk, Andrew S. Lan
Open-ended Knowledge Tracing for Computer Science Education. EMNLP (2022)
Nigel Fernandez, Aritra Ghosh, Naiming Liu, Zichao Wang, Benoît Choffin, Richard G. Baraniuk, Andrew S. Lan
Automated Scoring for Reading Comprehension via In-context BERT Tuning. CoRR (2022)
C. J. Barberan, Sina Alemohammad, Naiming Liu, Randall Balestriero, Richard G. Baraniuk
NeuroView-RNN: It's About Time. CoRR (2022)
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
Wearing A Mask: Compressed Representations of Variable-Length Sequences Using Recurrent Neural Tangent Kernels. ICASSP (2021)
Sina Alemohammad, Hossein Babaei, C. J. Barberan, Naiming Liu, Lorenzo Luzi, Blake Mason, Richard G. Baraniuk
NFT-K: Non-Fungible Tangent Kernels. CoRR (2021)
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
Wearing a MASK: Compressed Representations of Variable-Length Sequences Using Recurrent Neural Tangent Kernels. CoRR (2020)