Zichao Wang

75 papers A* 8B 5Misc 3Journal 38Unranked 21
YearRankTypeTitle / Venue / Authors
2026 — conf
A Survey on LLM-based Conversational User Simulation.
EACL (Volume 1: Long Papers)
Bo Ni, Yu Wang, Leyao Wang, Branislav Kveton, Franck Dernoncourt, Yu Xia, Hongjie Chen, Reuben Luera, Samyadeep Basu, Subhojyoti Mukherjee, Puneet Mathur, Nesreen K. Ahmed, Junda Wu, Li Li, Huixin Zhang, Ruiyi Zhang, Tong Yu, Sungchul Kim, Jiuxiang Gu, Zhengzhong Tu, Alexa F. Siu, Zichao Wang, Seunghyun Yoon, Nedim Lipka, Namyong Park, Zihao Lin, Trung Bui, Yue Zhao, Tyler Derr, Ryan A. Rossi
2026 — conf
Generative Design and Vibe Coding: Rethinking The Design-Development Divide for UI Prototyping.
CHI Extended Abstracts
Xinqi Zhang, Hariharan Subramonyam, Advait Sarkar, Ian Drosos, Zichao Wang, Kyungho Lee, Veronica Pimenova, Xiang Anthony Chen, Kai Lukoff
2026 A* conf
Interview-Informed Generative Agents for Product Discovery: A Validation Study.
CHI
Zichao Wang, Alexa F. Siu
2026 J jnl
Interview-Informed Generative Agents for Product Discovery: A Validation Study.
CoRR
Zichao Wang, Alexa F. Siu
2026 A* conf
OIDA-QA: A Multimodal Benchmark for Analyzing the Opioid Industry Documents Archive.
AAAI
Xuan Shen, Brian Wingenroth, Zichao Wang, Jason Kuen, Wanrong Zhu, Ruiyi Zhang, Yiwei Wang, Lichun Ma, Anqi Liu, Hongfu Liu, Tong Sun, Kevin S. Hawkins, Kate Tasker, G. Caleb Alexander, Jiuxiang Gu
2026 J jnl
Reasoning-Based Personalized Generation for Users with Sparse Data.
CoRR
Bo Ni, Branislav Kveton, Samyadeep Basu, Subhojyoti Mukherjee, Leyao Wang, Franck Dernoncourt, Sungchul Kim, Seunghyun Yoon, Zichao Wang, Ruiyi Zhang, Puneet Mathur, Jihyung Kil, Jiuxiang Gu, Nedim Lipka, Yu Wang, Ryan A. Rossi, Tyler Derr
2026 A* conf
VipAct: Visual-Perception Enhancement via Specialized VLM Agent Collaboration and Tool-use.
AAAI
Zhehao Zhang, Ryan A. Rossi, Tong Yu, Franck Dernoncourt, Ruiyi Zhang, Jiuxiang Gu, Sungchul Kim, Xiang Chen, Zichao Wang, Nedim Lipka
2025 J jnl
A Personalized Conversational Benchmark: Towards Simulating Personalized Conversations.
CoRR
Li Li, Peilin Cai, Ryan A. Rossi, Franck Dernoncourt, Branislav Kveton, Junda Wu, Tong Yu, Linxin Song, Tiankai Yang, Yuehan Qin, Nesreen K. Ahmed, Samyadeep Basu, Subhojyoti Mukherjee, Ruiyi Zhang, Zhengmian Hu, Bo Ni, Yuxiao Zhou, Zichao Wang, Yue Huang, Yu Wang, Xiangliang Zhang, Philip S. Yu, Xiyang Hu, Yue Zhao
2025 J jnl
A Survey on Mechanistic Interpretability for Multi-Modal Foundation Models.
CoRR
Zihao Lin, Samyadeep Basu, Mohammad Beigi, Varun Manjunatha, Ryan A. Rossi, Zichao Wang, Yufan Zhou, Sriram Balasubramanian, Arman Zarei, Keivan Rezaei, Ying Shen, Barry Menglong Yao, Zhiyang Xu, Qin Liu, Yuxiang Zhang, Yan Sun, Shilong Liu, Li Shen, Hongxuan Li, Soheil Feizi, Lifu Huang
2025 — conf
DocVoyager: Anticipating User's Information Needs and Guiding Document Reading through Question Answering.
CHI Extended Abstracts
Yoonjoo Lee, Nedim Lipka, Zichao Wang, Ryan A. Rossi, Puneet Mathur, Tong Sun, Alexa F. Siu
2025 — conf
From Selection to Generation: A Survey of LLM-based Active Learning.
ACL (1)
Yu Xia, Subhojyoti Mukherjee, Zhouhang Xie, Junda Wu, Xintong Li, Ryan Aponte, Hanjia Lyu, Joe Barrow, Hongjie Chen, Franck Dernoncourt, Branislav Kveton, Tong Yu, Ruiyi Zhang, Jiuxiang Gu, Nesreen K. Ahmed, Yu Wang, Xiang Chen, Hanieh Deilamsalehy, Sungchul Kim, Zhengmian Hu, Yue Zhao, Nedim Lipka, Seunghyun Yoon, Ting-Hao Kenneth Huang, Zichao Wang, Puneet Mathur, Soumyabrata Pal, Koyel Mukherjee, Zhehao Zhang, Namyong Park, Thien Huu Nguyen, Jiebo Luo, Ryan A. Rossi, Julian J. McAuley
2025 J jnl
From Selection to Generation: A Survey of LLM-based Active Learning.
CoRR
Yu Xia, Subhojyoti Mukherjee, Zhouhang Xie, Junda Wu, Xintong Li, Ryan Aponte, Hanjia Lyu, Joe Barrow, Hongjie Chen, Franck Dernoncourt, Branislav Kveton, Tong Yu, Ruiyi Zhang, Jiuxiang Gu, Nesreen K. Ahmed, Yu Wang, Xiang Chen, Hanieh Deilamsalehy, Sungchul Kim, Zhengmian Hu, Yue Zhao, Nedim Lipka, Seunghyun Yoon, Ting-Hao Kenneth Huang, Zichao Wang, Puneet Mathur, Soumyabrata Pal, Koyel Mukherjee, Zhehao Zhang, Namyong Park, Thien Huu Nguyen, Jiebo Luo, Ryan A. Rossi, Julian J. McAuley
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 J jnl
MLLM as a UI Judge: Benchmarking Multimodal LLMs for Predicting Human Perception of User Interfaces.
CoRR
Reuben Luera, Ryan A. Rossi, Franck Dernoncourt, Samyadeep Basu, Sungchul Kim, Subhojyoti Mukherjee, Puneet Mathur, Ruiyi Zhang, Jihyung Kil, Nedim Lipka, Seunghyun Yoon, Jiuxiang Gu, Zichao Wang, Cindy Xiong Bearfield, Branislav Kveton
2025 J jnl
OIDA-QA: A Multimodal Benchmark for Analyzing the Opioid Industry Documents Archive.
CoRR
Xuan Shen, Brian Wingenroth, Zichao Wang, Jason Kuen, Wanrong Zhu, Ruiyi Zhang, Yiwei Wang, Lichun Ma, Anqi Liu, Hongfu Liu, Tong Sun, Kevin S. Hawkins, Kate Tasker, G. Caleb Alexander, Jiuxiang Gu
2025 J jnl
On Mechanistic Circuits for Extractive Question-Answering.
CoRR
Samyadeep Basu, Vlad I. Morariu, Zichao Wang, Ryan A. Rossi, Cherry Zhao, Soheil Feizi, Varun Manjunatha
2025 — conf
Persona-SQ: A Personalized Suggested Question Generation Framework For Real-world Documents.
NAACL (System Demonstrations)
Zihao Lin, Zichao Wang, Yuanting Pan, Varun Manjunatha, Ryan A. Rossi, Angela Lau, Lifu Huang, Tong Sun
2025 J jnl
Personalization of Large Language Models: A Survey.
Trans. Mach. Learn. Res.
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
2025 — conf
Principled Content Selection to Generate Diverse and Personalized Multi-Document Summaries.
ACL (1)
Vishakh Padmakumar, Zichao Wang, David Arbour, Jennifer Healey
2025 J jnl
Principled Content Selection to Generate Diverse and Personalized Multi-Document Summaries.
CoRR
Vishakh Padmakumar, Zichao Wang, David Arbour, Jennifer Healey
2025 A* conf
Sycophancy Mitigation Through Reinforcement Learning with Uncertainty-Aware Adaptive Reasoning Trajectories.
EMNLP
Mohammad Beigi, Ying Shen, Parshin Shojaee, Qifan Wang, Zichao Wang, Chandan K. Reddy, Ming Jin, Lifu Huang
2025 J jnl
Sycophancy Mitigation Through Reinforcement Learning with Uncertainty-Aware Adaptive Reasoning Trajectories.
CoRR
Mohammad Beigi, Ying Shen, Parshin Shojaee, Qifan Wang, Zichao Wang, Chandan K. Reddy, Ming Jin, Lifu Huang
2025 J jnl
UniEDU: A Unified Language and Vision Assistant for Education Applications.
CoRR
Zhendong Chu, Jian Xie, Shen Wang, Zichao Wang, Qingsong Wen
2025 — conf
UniEDU: Toward Unified and Efficient Large Multimodal Models for Educational Tasks.
EMNLP (Industry Track)
Zhendong Chu, Jian Xie, Shen Wang, Zichao Wang, Qingsong Wen
2024 — conf
ATLAS: A System for PDF-centric Human Interaction Data Collection.
NAACL (Demonstrations)
Alexa F. Siu, Zichao Wang, Joshua Hoeflich, Naman Kapasi, Ani Nenkova, Tong Sun
2024 J jnl
Improve Temporal Awareness of LLMs for Sequential Recommendation.
CoRR
Zhendong Chu, Zichao Wang, Ruiyi Zhang, Yangfeng Ji, Hongning Wang, Tong Sun
2024 J jnl
Persona-SQ: A Personalized Suggested Question Generation Framework For Real-world Documents.
CoRR
Zihao Lin, Zichao Wang, Yuanting Pan, Varun Manjunatha, Ryan A. Rossi, Angela Lau, Lifu Huang, Tong Sun
2024 J jnl
Personalization of Large Language Models: A Survey.
CoRR
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
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
2024 J jnl
Toffee: Efficient Million-Scale Dataset Construction for Subject-Driven Text-to-Image Generation.
CoRR
Yufan Zhou, Ruiyi Zhang, Kaizhi Zheng, Nanxuan Zhao, Jiuxiang Gu, Zichao Wang, Xin Eric Wang, Tong Sun
2024 J jnl
VipAct: Visual-Perception Enhancement via Specialized VLM Agent Collaboration and Tool-use.
CoRR
Zhehao Zhang, Ryan A. Rossi, Tong Yu, Franck Dernoncourt, Ruiyi Zhang, Jiuxiang Gu, Sungchul Kim, Xiang Chen, Zichao Wang, Nedim Lipka
2023 J jnl
AutoDAN: Automatic and Interpretable Adversarial Attacks on Large Language Models.
CoRR
Sicheng Zhu, Ruiyi Zhang, Bang An, Gang Wu, Joe Barrow, Zichao Wang, Furong Huang, Ani Nenkova, Tong Sun
2023 — conf
Improving Reading Comprehension Question Generation with Data Augmentation and Overgenerate-and-rank.
BEA@ACL
Nischal Ashok Kumar, Nigel Fernandez, Zichao Wang, Andrew S. Lan
2023 J jnl
Improving Reading Comprehension Question Generation with Data Augmentation and Overgenerate-and-rank.
CoRR
Nischal Ashok Kumar, Nigel Fernandez, Zichao Wang, Andrew S. Lan
2023 J jnl
Interpretable Math Word Problem Solution Generation Via Step-by-step Planning.
CoRR
Mengxue Zhang, Zichao Wang, Zhichao Yang, Weiqi Feng, Andrew S. Lan
2023 — conf
Interpretable Math Word Problem Solution Generation via Step-by-step Planning.
ACL (1)
Mengxue Zhang, Zichao Wang, Zhichao Yang, Weiqi Feng, Andrew S. Lan
2023 — conf
MANER: Mask Augmented Named Entity Recognition for Extreme Low-Resource Languages.
SustaiNLP
Shashank Sonkar, Zichao Wang, Richard G. Baraniuk
2023 — conf
MultiQG-TI: Towards Question Generation from Multi-modal Sources.
BEA@ACL
Zichao Wang, Richard G. Baraniuk
2023 J jnl
MultiQG-TI: Towards Question Generation from Multi-modal Sources.
CoRR
Zichao Wang, 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
2023 A* conf
Retrieval-based Controllable Molecule Generation.
ICLR
Zichao Wang, Weili Nie, Zhuoran Qiao, Chaowei Xiao, Richard G. Baraniuk, Anima Anandkumar
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
DeepHull: Fast Convex Hull Approximation in High Dimensions.
ICASSP
Randall Balestriero, Zichao Wang, Richard G. Baraniuk
2022 J jnl
Instructions and Guide: Causal Insights for Learning Paths in Education.
CoRR
Wenbo Gong, Digory Smith, Zichao Wang, Craig Barton, Simon Woodhead, Nick Pawlowski, Joel Jennings, Cheng Zhang
2022 J jnl
MANER: Mask Augmented Named Entity Recognition for Extreme Low-Resource Languages.
CoRR
Shashank Sonkar, Zichao Wang, 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
2022 J jnl
Retrieval-based Controllable Molecule Generation.
CoRR
Zichao Wang, Weili Nie, Zhuoran Qiao, Chaowei Xiao, Richard G. Baraniuk, Anima Anandkumar
2022 — conf
Towards Human-Like Educational Question Generation with Large Language Models.
AIED (1)
Zichao Wang, Jakob Valdez, Debshila Basu Mallick, Richard G. Baraniuk
2021 A* conf
Educational Question Mining At Scale: Prediction, Analysis and Personalization.
AAAI
Zichao Wang, Sebastian Tschiatschek, Simon Woodhead, José Miguel Hernández-Lobato, Simon Peyton Jones, Richard G. Baraniuk, Cheng Zhang
2021 B conf
Math Operation Embeddings for Open-ended Solution Analysis and Feedback.
EDM
Mengxue Zhang, Zichao Wang, Richard G. Baraniuk, Andrew S. Lan
2021 J jnl
Math Operation Embeddings for Open-ended Solution Analysis and Feedback.
CoRR
Mengxue Zhang, Zichao Wang, Richard G. Baraniuk, Andrew S. Lan
2021 — conf
Math Word Problem Generation with Mathematical Consistency and Problem Context Constraints.
EMNLP (1)
Zichao Wang, Andrew S. Lan, Richard G. Baraniuk
2021 J jnl
Math Word Problem Generation with Mathematical Consistency and Problem Context Constraints.
CoRR
Zichao Wang, Andrew S. Lan, Richard G. Baraniuk
2021 — conf
Mathematical Formula Representation via Tree Embeddings.
iTextbooks@AIED
Zichao Wang, Andrew S. Lan, Richard G. Baraniuk
2021 J jnl
Results and Insights from Diagnostic Questions: The NeurIPS 2020 Education Challenge.
CoRR
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
2021 — conf
Scientific Formula Retrieval via Tree Embeddings.
IEEE BigData
Zichao Wang, Mengxue Zhang, Richard G. Baraniuk, Andrew S. Lan
2021 A* conf
The Recurrent Neural Tangent Kernel.
ICLR
Sina Alemohammad, Zichao Wang, Randall Balestriero, Richard G. Baraniuk
2021 — conf
Towards Blooms Taxonomy Classification Without Labels.
AIED (1)
Zichao Wang, Kyle Manning, Debshila Basu Mallick, 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
An Improved Semi-Supervised VAE for Learning Disentangled Representations.
CoRR
Weili Nie, Zichao Wang, Ankit B. Patel, Richard G. Baraniuk
2020 J jnl
Diagnostic Questions: The NeurIPS 2020 Education Challenge.
CoRR
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
2020 J jnl
Large-Scale Educational Question Analysis with Partial Variational Auto-encoders.
CoRR
Zichao Wang, Sebastian Tschiatschek, Simon Woodhead, José Miguel Hernández-Lobato, Simon Peyton Jones, Cheng Zhang
2020 — conf
Results and Insights from Diagnostic Questions: The NeurIPS 2020 Education Challenge.
NeurIPS (Competition and Demos)
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
2020 J jnl
Scalable Neural Tangent Kernel of Recurrent Architectures.
CoRR
Sina Alemohammad, Randall Balestriero, Zichao Wang, Richard G. Baraniuk
2020 J jnl
The Recurrent Neural Tangent Kernel.
CoRR
Sina Alemohammad, Zichao Wang, Randall Balestriero, Richard G. Baraniuk
2020 B conf
VarFA: A Variational Factor Analysis Framework For Efficient Bayesian Learning Analytics.
EDM
Zichao Wang, Yi Gu, Andrew S. Lan, 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
2019 — conf
A Max-Affine Spline Perspective of Recurrent Neural Networks.
ICLR (Poster)
Zichao Wang, Randall Balestriero, Richard G. Baraniuk
2019 B conf
A Meta-Learning Augmented Bidirectional Transformer Model for Automatic Short Answer Grading.
EDM
Zichao Wang, Andrew S. Lan, Andrew E. Waters, Phillip Grimaldi, Richard G. Baraniuk
2019 B conf
Techniques for Automatically Evaluating Machine-Generated Questions.
EDM
Zichao Wang
2018 B conf
QG-net: a data-driven question generation model for educational content.
L@S
Zichao Wang, Andrew S. Lan, Weili Nie, Andrew E. Waters, Phillip J. Grimaldi, Richard G. Baraniuk
2016 — conf
Constrained multi-channel linear prediction for adaptive speech dereverberation.
IWAENC
Ante Jukic, Zichao Wang, Toon van Waterschoot, Timo Gerkmann, Simon Doclo