Zichao Wang

According to our database, Zichao Wang authored at least 43 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

Persona-SQ: A Personalized Suggested Question Generation Framework For Real-world Documents.

Zihao Lin, Zichao Wang, Yuanting Pan, Varun Manjunatha, Ryan A. Rossi, Angela Lau, Lifu Huang, Tong Sun

CoRR, 2024

Personalization of Large Language Models: A Survey.

Zhehao Zhang, Ryan A. Rossi, Branislav Kveton, Yijia Shao, Diyi Yang, Hamed Zamani, Franck Dernoncourt, Joe Barrow, Tong Yu, Sungchul Kim, Ruiyi Zhang, Jiuxiang Gu, Tyler Derr, Hongjie Chen, Junda Wu, Xiang Chen, Zichao Wang, Subrata Mitra, Nedim Lipka, Nesreen K. Ahmed, Yu Wang

CoRR, 2024

VipAct: Visual-Perception Enhancement via Specialized VLM Agent Collaboration and Tool-use.

Zhehao Zhang, Ryan A. Rossi, Tong Yu, Franck Dernoncourt, Ruiyi Zhang, Jiuxiang Gu, Sungchul Kim, Xiang Chen, Zichao Wang, Nedim Lipka

CoRR, 2024

Synthetic Context Generation for Question Generation.

Naiming Liu, Zichao Wang, Richard G. Baraniuk

CoRR, 2024

Toffee: Efficient Million-Scale Dataset Construction for Subject-Driven Text-to-Image Generation.

Yufan Zhou, Ruiyi Zhang, Kaizhi Zheng, Nanxuan Zhao, Jiuxiang Gu, Zichao Wang, Xin Eric Wang, Tong Sun

CoRR, 2024

Improve Temporal Awareness of LLMs for Sequential Recommendation.

Zhendong Chu, Zichao Wang, Ruiyi Zhang, Yangfeng Ji, Hongning Wang, Tong Sun

CoRR, 2024

ATLAS: A System for PDF-centric Human Interaction Data Collection.

Alexa F. Siu, Zichao Wang, Joshua Hoeflich, Naman Kapasi, Ani Nenkova, Tong Sun

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: System Demonstrations, 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, Richard G. Baraniuk

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

AutoDAN: Automatic and Interpretable Adversarial Attacks on Large Language Models.

Sicheng Zhu, Ruiyi Zhang, Bang An, Gang Wu, Joe Barrow, Zichao Wang, Furong Huang, Ani Nenkova, Tong Sun

CoRR, 2023

Novice Learner and Expert Tutor: Evaluating Math Reasoning Abilities of Large Language Models with Misconceptions.

Naiming Liu, Shashank Sonkar, Zichao Wang, Simon Woodhead, Richard G. Baraniuk

CoRR, 2023

MANER: Mask Augmented Named Entity Recognition for Extreme Low-Resource Languages.

Shashank Sonkar, Zichao Wang, Richard G. Baraniuk

Proceedings of The Fourth Workshop on Simple and Efficient Natural Language Processing, 2023

Retrieval-based Controllable Molecule Generation.

Zichao Wang, Weili Nie, Zhuoran Qiao, Chaowei Xiao, Richard G. Baraniuk, Anima Anandkumar

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Improving Reading Comprehension Question Generation with Data Augmentation and Overgenerate-and-rank.

Nischal Ashok Kumar, Nigel Fernandez, Zichao Wang, Andrew S. Lan

Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications, 2023

MultiQG-TI: Towards Question Generation from Multi-modal Sources.

Zichao Wang, Richard G. Baraniuk

Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications, 2023

Interpretable Math Word Problem Solution Generation via Step-by-step Planning.

Mengxue Zhang, Zichao Wang, Zhichao Yang, Weiqi Feng, Andrew S. Lan

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Instructions and Guide: Causal Insights for Learning Paths in Education.

Wenbo Gong, Digory Smith, Zichao Wang, Craig Barton, Simon Woodhead, Nick Pawlowski, Joel Jennings, Cheng Zhang

CoRR, 2022

Open-Ended Knowledge Tracing.

Naiming Liu, Zichao Wang, Richard G. Baraniuk, Andrew S. Lan

CoRR, 2022

DeepHull: Fast Convex Hull Approximation in High Dimensions.

Randall Balestriero, Zichao Wang, Richard G. Baraniuk

Proceedings of the IEEE International Conference on Acoustics, 2022

Open-ended Knowledge Tracing for Computer Science Education.

Naiming Liu, Zichao Wang, Richard G. Baraniuk, Andrew S. Lan

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Towards Human-Like Educational Question Generation with Large Language Models.

Zichao Wang, Jakob Valdez, Debshila Basu Mallick, Richard G. Baraniuk

Proceedings of the Artificial Intelligence in Education - 23rd International Conference, 2022

Automated Scoring for Reading Comprehension via In-context BERT Tuning.

Nigel Fernandez, Aritra Ghosh, Naiming Liu, Zichao Wang, Benoît Choffin, Richard G. Baraniuk, Andrew S. Lan

Proceedings of the Artificial Intelligence in Education - 23rd International Conference, 2022

2021

The Recurrent Neural Tangent Kernel.

Sina Alemohammad, Zichao Wang, Randall Balestriero, Richard G. Baraniuk

Proceedings of the 9th International Conference on Learning Representations, 2021

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, Richard G. Baraniuk

Proceedings of the IEEE International Conference on Acoustics, 2021

Math Word Problem Generation with Mathematical Consistency and Problem Context Constraints.

Zichao Wang, Andrew S. Lan, Richard G. Baraniuk

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Math Operation Embeddings for Open-ended Solution Analysis and Feedback.

Mengxue Zhang, Zichao Wang, Richard G. Baraniuk, Andrew S. Lan

Proceedings of the 14th International Conference on Educational Data Mining, 2021

Scientific Formula Retrieval via Tree Embeddings.

Zichao Wang, Mengxue Zhang, Richard G. Baraniuk, Andrew S. Lan

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Towards Blooms Taxonomy Classification Without Labels.

Zichao Wang, Kyle Manning, Debshila Basu Mallick, Richard G. Baraniuk

Proceedings of the Artificial Intelligence in Education - 22nd International Conference, 2021

Mathematical Formula Representation via Tree Embeddings.

Zichao Wang, Andrew S. Lan, Richard G. Baraniuk

Proceedings of the Third International Workshop on Inteligent Textbooks 2021 Co-located with 22nd International Conference on Artificial Intelligence in Education (AIED 2021), 2021

Educational Question Mining At Scale: Prediction, Analysis and Personalization.

Zichao Wang, Sebastian Tschiatschek, Simon Woodhead, José Miguel Hernández-Lobato, Simon Peyton Jones, Richard G. Baraniuk, Cheng Zhang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Scalable Neural Tangent Kernel of Recurrent Architectures.

Sina Alemohammad, Randall Balestriero, Zichao Wang, Richard G. Baraniuk

CoRR, 2020

Diagnostic Questions: The NeurIPS 2020 Education Challenge.

Zichao Wang, Angus Lamb, Evgeny Saveliev, Pashmina Cameron, Yordan Zaykov, José Miguel Hernández-Lobato, Richard E. Turner, Richard G. Baraniuk, Craig Barton, Simon Peyton Jones, Simon Woodhead, Cheng Zhang

CoRR, 2020

An Improved Semi-Supervised VAE for Learning Disentangled Representations.

Weili Nie, Zichao Wang, Ankit B. Patel, Richard G. Baraniuk

CoRR, 2020

Large-Scale Educational Question Analysis with Partial Variational Auto-encoders.

Zichao Wang, Sebastian Tschiatschek, Simon Woodhead, José Miguel Hernández-Lobato, Simon Peyton Jones, Cheng Zhang

CoRR, 2020

Results and Insights from Diagnostic Questions: The NeurIPS 2020 Education Challenge.

Zichao Wang, Angus Lamb, Evgeny Saveliev, Pashmina Cameron, Yordan Zaykov, José Miguel Hernández-Lobato, Richard E. Turner, Richard G. Baraniuk, Craig Barton, Simon Peyton Jones, Simon Woodhead, Cheng Zhang

Proceedings of the NeurIPS 2020 Competition and Demonstration Track, 2020

Optimal Single-Choice Prophet Inequalities from Samples.

Aviad Rubinstein, Jack Z. Wang, S. Matthew Weinberg

Proceedings of the 11th Innovations in Theoretical Computer Science Conference, 2020

Maximizing Welfare with Incentive-Aware Evaluation Mechanisms.

Nika Haghtalab, Nicole Immorlica, Brendan Lucier, Jack Z. Wang

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

VarFA: A Variational Factor Analysis Framework For Efficient Bayesian Learning Analytics.

Zichao Wang, Yi Gu, Andrew S. Lan, Richard G. Baraniuk

Proceedings of the 13th International Conference on Educational Data Mining, 2020

2019

A Max-Affine Spline Perspective of Recurrent Neural Networks.

Zichao Wang, Randall Balestriero, Richard G. Baraniuk

Proceedings of the 7th International Conference on Learning Representations, 2019

A Meta-Learning Augmented Bidirectional Transformer Model for Automatic Short Answer Grading.

Zichao Wang, Andrew S. Lan, Andrew E. Waters, Phillip Grimaldi, Richard G. Baraniuk

Proceedings of the 12th International Conference on Educational Data Mining, 2019

Techniques for Automatically Evaluating Machine-Generated Questions.

Zichao Wang

Proceedings of the 12th International Conference on Educational Data Mining, 2019

2018

QG-net: a data-driven question generation model for educational content.

Zichao Wang, Andrew S. Lan, Weili Nie, Andrew E. Waters, Phillip J. Grimaldi, Richard G. Baraniuk

Proceedings of the Fifth Annual ACM Conference on Learning at Scale, 2018

2017

A Latent Factor Model For Instructor Content Preference Analysis.

Jack Z. Wang, Andrew S. Lan, Phillip Grimaldi, Richard G. Baraniuk

Proceedings of the 10th International Conference on Educational Data Mining, 2017

2016

Constrained multi-channel linear prediction for adaptive speech dereverberation.

Ante Jukic, Zichao Wang, Toon van Waterschoot, Timo Gerkmann, Simon Doclo

Proceedings of the IEEE International Workshop on Acoustic Signal Enhancement, 2016