Trust in qualitative data repositories. - Rebecca D. Frank; Zui Chen; Erica Crawford; Kara Suzuka; Elizabeth Yakel (ASIST, 2017)

Zero-Shot Information Extraction as a Unified Text-to-Triple Translation. - Chenguang Wang 001; Xiao Liu 036; Zui Chen; Haoyun Hong; Jie Tang 001; Dawn Song (EMNLP (1), 2021)

DeepStruct: Pretraining of Language Models for Structure Prediction. - Chenguang Wang 001; Xiao Liu 036; Zui Chen; Haoyun Hong; Jie Tang 001; Dawn Song (ACL (Findings), 2022)

Sound2Synth: Interpreting Sound via FM Synthesizer Parameters Estimation. - Zui Chen; Yansen Jing; Shengcheng Yuan; Yifei Xu; Jian Wu; Hang Zhao (IJCAI, 2022)

VizLinter: A Linter and Fixer Framework for Data Visualization. - Qing Chen 001; Fuling Sun; Xinyue Xu; Zui Chen; Jiazhe Wang; Nan Cao 001 (IEEE Trans. Vis. Comput. Graph., 2022)

Symphony: Towards Natural Language Query Answering over Multi-modal Data Lakes. - Zui Chen; Zihui Gu; Lei Cao 004; Ju Fan; Samuel Madden 001; Nan Tang 001 (CIDR, 2023)

Language Model is Suitable for Correction of Handwritten Mathematical Expressions Recognition. - Zui Chen; Jiaqi Han; Chaofan Yang; Yi Zhou (EMNLP, 2023)

Interleaving Pre-Trained Language Models and Large Language Models for Zero-Shot NL2SQL Generation. - Zihui Gu; Ju Fan; Nan Tang 001; Songyue Zhang; Yuxin Zhang; Zui Chen; Lei Cao 004; Guoliang Li 001; Sam Madden 001; Xiaoyong Du 001 (CoRR, 2023)

RoTaR: Efficient Row-Based Table Representation Learning via Teacher-Student Training. - Zui Chen; Lei Cao 004; Sam Madden 001 (CoRR, 2023)

SEED: Simple, Efficient, and Effective Data Management via Large Language Models. - Zui Chen; Lei Cao 004; Sam Madden 001; Ju Fan; Nan Tang 001; Zihui Gu; Zeyuan Shang; Chunwei Liu; Michael J. Cafarella; Tim Kraska (CoRR, 2023)

Lingua Manga: A Generic Large Language Model Centric System for Data Curation. - Zui Chen; Lei Cao 004; Sam Madden 001 (Proc. VLDB Endow., 2023)

An Empirical Study of Data Ability Boundary in LLMs' Math Reasoning. - Zui Chen; Yezeng Chen; Jiaqi Han; Zhijie Huang; Ji Qi; Yi Zhou (CoRR, 2024)

Brain-Inspired Two-Stage Approach: Enhancing Mathematical Reasoning by Imitating Human Thought Processes. - Yezeng Chen; Zui Chen; Yi Zhou (CoRR, 2024)

A Declarative System for Optimizing AI Workloads. - Chunwei Liu; Matthew Russo; Michael J. Cafarella; Lei Cao 004; Peter Baile Chen; Zui Chen; Michael J. Franklin; Tim Kraska; Samuel Madden 001; Gerardo Vitagliano (CoRR, 2024)

Expediting and Elevating Large Language Model Reasoning via Hidden Chain-of-Thought Decoding. - Tianqiao Liu; Zui Chen; Zitao Liu 001; Mi Tian; Weiqi Luo 002 (CoRR, 2024)

Combining Small Language Models and Large Language Models for Zero-Shot NL2SQL. - Ju Fan; Zihui Gu; Songyue Zhang; Yuxin Zhang; Zui Chen; Lei Cao 004; Guoliang Li 001; Samuel Madden 001; Xiaoyong Du 001; Nan Tang 001 (Proc. VLDB Endow., 2024)

What Are Step-Level Reward Models Rewarding? Counterintuitive Findings from MCTS-Boosted Mathematical Reasoning. - Yiran Ma; Zui Chen; Tianqiao Liu; Mi Tian; Zhuo Liu; Zitao Liu 001; Weiqi Luo 002 (AAAI, 2025)

Advancing Mathematical Reasoning in Language Models: The Impact of Problem-Solving Data, Data Synthesis Methods, and Training Stages. - Zui Chen; Tianqiao Liu; Tongqing; Mi Tian; Weiqi Luo 002; Zitao Liu 001 (ICLR, 2025)

Advancing Math Reasoning in Language Models: The Impact of Problem-Solving Data, Data Synthesis Methods, and Training Stages. - Zui Chen; Tianqiao Liu; Mi Tian; Qing Tong; Weiqi Luo 002; Zitao Liu 001 (CoRR, 2025)