LazyCut: content-aware template-based video authoring. - Xian-Sheng Hua 001; Zengzhi Wang; Shipeng Li 001 (ACM Multimedia, 2005)

UnifiedABSA: A Unified ABSA Framework Based on Multi-task Instruction Tuning. - Zengzhi Wang; Rui Xia; Jianfei Yu (CoRR, 2022)

A Simple yet Effective Framework for Few-Shot Aspect-Based Sentiment Analysis. - Zengzhi Wang; Qiming Xie; Rui Xia (SIGIR, 2023)

Is ChatGPT a Good Sentiment Analyzer? A Preliminary Study. - Zengzhi Wang; Qiming Xie; Zixiang Ding; Yi Feng; Rui Xia (CoRR, 2023)

MEMD-ABSA: A Multi-Element Multi-Domain Dataset for Aspect-Based Sentiment Analysis. - Hongjie Cai; Nan Song; Zengzhi Wang; Qiming Xie; Qiankun Zhao; Ke Li; Siwei Wu; Shijie Liu; Jianfei Yu; Rui Xia (CoRR, 2023)

Ask Again, Then Fail: Large Language Models' Vacillations in Judgement. - Qiming Xie; Zengzhi Wang; Yi Feng; Rui Xia (CoRR, 2023)

Generative AI for Math: Part I - MathPile: A Billion-Token-Scale Pretraining Corpus for Math. - Zengzhi Wang; Rui Xia; Pengfei Liu 003 (CoRR, 2023)

Ask Again, Then Fail: Large Language Models' Vacillations in Judgment. - Qiming Xie; Zengzhi Wang; Yi Feng; Rui Xia (ACL (1), 2024)

Data Contamination Report from the 2024 CONDA Shared Task. - Oscar Sainz; Iker García-Ferrero; Alon Jacovi; Jon Ander Campos; Yanai Elazar; Eneko Agirre; Yoav Goldberg; Wei-Lin Chen; Jenny Chim; Leshem Choshen; Luca D'Amico-Wong; Melissa Dell; et al. (CONDA, 2024)

OlympicArena: Benchmarking Multi-discipline Cognitive Reasoning for Superintelligent AI. - Zhen Huang; Zengzhi Wang; Shijie Xia; Xuefeng Li 003; Haoyang Zou; Ruijie Xu; Run-Ze Fan; Lyumanshan Ye; Ethan Chern; Yixin Ye; Yikai Zhang 003; Yuqing Yang 004; et al. (NeurIPS, 2024)

MathPile: A Billion-Token-Scale Pretraining Corpus for Math. - Zengzhi Wang; Xuefeng Li 003; Rui Xia; Pengfei Liu 003 (NeurIPS, 2024)

Benchmarking Benchmark Leakage in Large Language Models. - Ruijie Xu; Zengzhi Wang; Run-Ze Fan; Pengfei Liu 003 (CoRR, 2024)

OlympicArena Medal Ranks: Who Is the Most Intelligent AI So Far? - Zhen Huang; Zengzhi Wang; Shijie Xia; Pengfei Liu 003 (CoRR, 2024)

Programming Every Example: Lifting Pre-training Data Quality like Experts at Scale. - Fan Zhou; Zengzhi Wang; Qian Liu; Junlong Li; Pengfei Liu 003 (CoRR, 2024)

An empirical study of Multimodal Entity-Based Sentiment Analysis with ChatGPT: Improving in-context learning via entity-aware contrastive learning. - Li Yang; Zengzhi Wang; Ziyan Li; Jin-Cheon Na; Jianfei Yu (Inf. Process. Manag., 2024)

Unified ABSA via Annotation-Decoupled Multi-Task Instruction Tuning. - Zengzhi Wang; Rui Xia; Jianfei Yu (IEEE Trans. Knowl. Data Eng., 2024)

Towards Explainable Multimodal Depression Recognition for Clinical Interviews. - Wenjie Zheng; Qiming Xie; Zengzhi Wang; Jianfei Yu; Rui Xia (CoRR, 2025)

MegaMath: Pushing the Limits of Open Math Corpora. - Fan Zhou; Zengzhi Wang; Nikhil Ranjan; Zhoujun Cheng; Liping Tang; Guowei He; Zhengzhong Liu 001; Eric P. Xing (CoRR, 2025)

OctoThinker: Mid-training Incentivizes Reinforcement Learning Scaling. - Zengzhi Wang; Fan Zhou; Xuefeng Li 003; Pengfei Liu 003 (CoRR, 2025)

Interaction as Intelligence: Deep Research With Human-AI Partnership. - Lyumanshan Ye; Xiaojie Cai; Xinkai Wang; Junfei Wang; Xiangkun Hu; Jiadi Su; Yang Nan; Sihan Wang; Bohan Zhang; Xiaoze Fan; Jinbin Luo; Yuxiang Zheng; et al. (CoRR, 2025)

MegaScience: Pushing the Frontiers of Post-Training Datasets for Science Reasoning. - Run-Ze Fan; Zengzhi Wang; Pengfei Liu (CoRR, 2025)

MEMD-ABSA: a multi-element multi-domain dataset for aspect-based sentiment analysis. - Hongjie Cai; Nan Song; Zengzhi Wang; Qiming Xie; Qiankun Zhao; Ke Li; Siwei Wu; Shijie Liu; Heqing Ma; Jianfei Yu; Rui Xia (Lang. Resour. Evaluation, 2025)