Zengzhi Wang

According to our database, Zengzhi Wang authored at least 22 papers between 2005 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, September, 2025

MegaScience: Pushing the Frontiers of Post-Training Datasets for Science Reasoning.

Run-Ze Fan, Zengzhi Wang, Pengfei Liu

CoRR, July, 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, Tianze Xu, Dayuan Fu, Yunze Wu, Pengrui Lu, Zengzhi Wang, Yiwei Qin, Zhen Huang, Yan Ma, Zhulin Hu, Haoyang Zou, Tiantian Mi, Yixin Ye, Ethan Chern, Pengfei Liu

CoRR, July, 2025

OctoThinker: Mid-training Incentivizes Reinforcement Learning Scaling.

Zengzhi Wang, Fan Zhou, Xuefeng Li, Pengfei Liu

CoRR, June, 2025

MegaMath: Pushing the Limits of Open Math Corpora.

Fan Zhou, Zengzhi Wang, Nikhil Ranjan, Zhoujun Cheng, Liping Tang, Guowei He, Zhengzhong Liu, Eric P. Xing

CoRR, April, 2025

Towards Explainable Multimodal Depression Recognition for Clinical Interviews.

Wenjie Zheng, Qiming Xie, Zengzhi Wang, Jianfei Yu, Rui Xia

CoRR, January, 2025

2024

Unified ABSA via Annotation-Decoupled Multi-Task Instruction Tuning.

Zengzhi Wang, Rui Xia, Jianfei Yu

IEEE Trans. Knowl. Data Eng., November, 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

Programming Every Example: Lifting Pre-training Data Quality like Experts at Scale.

Fan Zhou, Zengzhi Wang, Qian Liu, Junlong Li, Pengfei Liu

CoRR, 2024

OlympicArena Medal Ranks: Who Is the Most Intelligent AI So Far?

Zhen Huang, Zengzhi Wang, Shijie Xia, Pengfei Liu

CoRR, 2024

Benchmarking Benchmark Leakage in Large Language Models.

Ruijie Xu, Zengzhi Wang, Run-Ze Fan, Pengfei Liu

CoRR, 2024

MathPile: A Billion-Token-Scale Pretraining Corpus for Math.

Zengzhi Wang, Xuefeng Li, Rui Xia, Pengfei Liu

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

OlympicArena: Benchmarking Multi-discipline Cognitive Reasoning for Superintelligent AI.

Zhen Huang, Zengzhi Wang, Shijie Xia, Xuefeng Li, Haoyang Zou, Ruijie Xu, Run-Ze Fan, Lyumanshan Ye, Ethan Chern, Yixin Ye, Yikai Zhang, Yuqing Yang, Ting Wu, Binjie Wang, Shichao Sun, Yang Xiao, Yiyuan Li, Fan Zhou, Steffi Chern, Yiwei Qin, Yan Ma, Jiadi Su, Yixiu Liu, Yuxiang Zheng, Shaoting Zhang, Dahua Lin, Yu Qiao, Pengfei Liu

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 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, Run-Ze Fan, Shahriar Golchin, Yucheng Li, Pengfei Liu, Bhavish Pahwa, Ameya Prabhu, Suryansh Sharma, Emily Silcock, Kateryna Solonko, David Stap, Mihai Surdeanu, Yu-Min Tseng, Vishaal Udandarao, Zengzhi Wang, Ruijie Xu, Jinglin Yang

Proceedings of the First Data Contamination Workshop, 2024

Ask Again, Then Fail: Large Language Models' Vacillations in Judgment.

Qiming Xie, Zengzhi Wang, Yi Feng, Rui Xia

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Generative AI for Math: Part I - MathPile: A Billion-Token-Scale Pretraining Corpus for Math.

Zengzhi Wang, Rui Xia, Pengfei Liu

CoRR, 2023

Ask Again, Then Fail: Large Language Models' Vacillations in Judgement.

Qiming Xie, Zengzhi Wang, 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

Is ChatGPT a Good Sentiment Analyzer? A Preliminary Study.

Zengzhi Wang, Qiming Xie, Zixiang Ding, Yi Feng, Rui Xia

CoRR, 2023

A Simple yet Effective Framework for Few-Shot Aspect-Based Sentiment Analysis.

Zengzhi Wang, Qiming Xie, Rui Xia

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

2022

UnifiedABSA: A Unified ABSA Framework Based on Multi-task Instruction Tuning.

Zengzhi Wang, Rui Xia, Jianfei Yu

CoRR, 2022

2005

LazyCut: content-aware template-based video authoring.

Xian-Sheng Hua, Zengzhi Wang, Shipeng Li

Proceedings of the 13th ACM International Conference on Multimedia, 2005