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Naiming Liu
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2020 – today
- 2024
- [c11]Shashank Sonkar, Naiming Liu, Debshila Basu Mallick, Richard G. Baraniuk:
Marking: Visual Grading with Highlighting Errors and Annotating Missing Bits. AIED (1) 2024: 309-323 - [c10]Shashank Sonkar, Naiming Liu, Richard G. Baraniuk:
Student Data Paradox and Curious Case of Single Student-Tutor Model: Regressive Side Effects of Training LLMs for Personalized Learning. EMNLP (Findings) 2024: 15543-15553 - [c9]Shashank Sonkar, Naiming Liu, MyCo Le, Richard G. Baraniuk:
MalAlgoQA: Pedagogical Evaluation of Counterfactual Reasoning in Large Language Models and Implications for AI in Education. EMNLP (Findings) 2024: 15554-15567 - [c8]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: 6165-6169 - [c7]Shashank Sonkar
, Xinghe Chen
Code Soliloquies for Accurate Calculations in Large Language Models. LAK 2024: 828-835 - [i12]Shashank Sonkar, Naiming Liu, Debshila Basu Mallick, Richard G. Baraniuk:
Marking: Visual Grading with Highlighting Errors and Annotating Missing Bits. CoRR abs/2404.14301 (2024) - [i11]Shashank Sonkar, Naiming Liu, Richard G. Baraniuk:
Regressive Side Effects of Training Language Models to Mimic Student Misconceptions. CoRR abs/2404.15156 (2024) - [i10]Naiming Liu, Zichao Wang, Richard G. Baraniuk:
Synthetic Context Generation for Question Generation. CoRR abs/2406.13188 (2024) - [i9]Naiming Liu, Shashank Sonkar, Myco Le, Richard G. Baraniuk:
MalAlgoQA: A Pedagogical Approach for Evaluating Counterfactual Reasoning Abilities. CoRR abs/2407.00938 (2024) - 2023
- [c6]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: 1941-1961 - [i8]Shashank Sonkar, Myco Le, Xinghe Chen, Naiming Liu, Debshila Basu Mallick, Richard G. Baraniuk:
Code Soliloquies for Accurate Calculations in Large Language Models. CoRR abs/2309.12161 (2023) - [i7]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 abs/2310.02439 (2023) - 2022
- [j1]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): 67-77 (2022) - [c5]Nigel Fernandez, Aritra Ghosh
Automated Scoring for Reading Comprehension via In-context BERT Tuning. AIED (1) 2022: 691-697 - [c4]Naiming Liu, Zichao Wang, Richard G. Baraniuk, Andrew S. Lan:
Open-ended Knowledge Tracing for Computer Science Education. EMNLP 2022: 3849-3862 - [c3]C. J. Barberan, Sina Alemmohammad, Naiming Liu, Randall Balestriero, Richard G. Baraniuk:
NeuroView-RNN: It's About Time. FAccT 2022: 1683-1697 - [c2]Sina Alemohammad, Hossein Babaei, C. J. Barberan, Naiming Liu, Lorenzo Luzi, Blake Mason, Richard G. Baraniuk:
NFT-K: Non-Fungible Tangent Kernels. ICASSP 2022: 3798-3802 - [i6]C. J. Barberan, Sina Alemohammad, Naiming Liu, Randall Balestriero, Richard G. Baraniuk:
NeuroView-RNN: It's About Time. CoRR abs/2202.11811 (2022) - [i5]Naiming Liu, Zichao Wang, Richard G. Baraniuk, Andrew S. Lan:
Open-Ended Knowledge Tracing. CoRR abs/2203.03716 (2022) - [i4]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 abs/2205.09864 (2022) - [i3]Shashank Sonkar, Naiming Liu, Richard G. Baraniuk:
A Visual Tour Of Current Challenges In Multimodal Language Models. CoRR abs/2210.12565 (2022) - 2021
- [c1]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: 2950-2954 - [i2]Sina Alemohammad, Hossein Babaei, C. J. Barberan, Naiming Liu, Lorenzo Luzi, Blake Mason, Richard G. Baraniuk:
NFT-K: Non-Fungible Tangent Kernels. CoRR abs/2110.04945 (2021) - 2020
- [i1]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 abs/2010.13975 (2020)
Coauthor Index
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