Zengzhi Wang

25 papers A* 5Journal 18Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
Interaction as Intelligence: Deep Research With Human-AI Partnership.
CoRR
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
2025 J jnl
MEMD-ABSA: a multi-element multi-domain dataset for aspect-based sentiment analysis.
Lang. Resour. Evaluation
Hongjie Cai, Nan Song, Zengzhi Wang, Qiming Xie, Qiankun Zhao, Ke Li, Siwei Wu, Shijie Liu, Heqing Ma, Jianfei Yu, Rui Xia
2025 J jnl
MegaMath: Pushing the Limits of Open Math Corpora.
CoRR
Fan Zhou, Zengzhi Wang, Nikhil Ranjan, Zhoujun Cheng, Liping Tang, Guowei He, Zhengzhong Liu, Eric P. Xing
2025 J jnl
MegaScience: Pushing the Frontiers of Post-Training Datasets for Science Reasoning.
CoRR
Run-Ze Fan, Zengzhi Wang, Pengfei Liu
2025 J jnl
OctoThinker: Mid-training Incentivizes Reinforcement Learning Scaling.
CoRR
Zengzhi Wang, Fan Zhou, Xuefeng Li, Pengfei Liu
2025 A* conf
Programming Every Example: Lifting Pre-training Data Quality Like Experts at Scale.
ICML
Fan Zhou, Zengzhi Wang, Qian Liu, Junlong Li, Pengfei Liu
2025 J jnl
Towards Explainable Multimodal Depression Recognition for Clinical Interviews.
CoRR
Wenjie Zheng, Qiming Xie, Zengzhi Wang, Jianfei Yu, Rui Xia
2024 J jnl
An empirical study of Multimodal Entity-Based Sentiment Analysis with ChatGPT: Improving in-context learning via entity-aware contrastive learning.
Inf. Process. Manag.
Li Yang, Zengzhi Wang, Ziyan Li, Jin-Cheon Na, Jianfei Yu
2024 — conf
Ask Again, Then Fail: Large Language Models' Vacillations in Judgment.
ACL (1)
Qiming Xie, Zengzhi Wang, Yi Feng, Rui Xia
2024 J jnl
Benchmarking Benchmark Leakage in Large Language Models.
CoRR
Ruijie Xu, Zengzhi Wang, Run-Ze Fan, Pengfei Liu
2024 — conf
Data Contamination Report from the 2024 CONDA Shared Task.
CONDA
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
2024 J jnl
Data Contamination Report from the 2024 CONDA Shared Task.
CoRR
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
2024 A* conf
MathPile: A Billion-Token-Scale Pretraining Corpus for Math.
NeurIPS
Zengzhi Wang, Xuefeng Li, Rui Xia, Pengfei Liu
2024 J jnl
OlympicArena Medal Ranks: Who Is the Most Intelligent AI So Far?
CoRR
Zhen Huang, Zengzhi Wang, Shijie Xia, Pengfei Liu
2024 A* conf
OlympicArena: Benchmarking Multi-discipline Cognitive Reasoning for Superintelligent AI.
NeurIPS
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
2024 J jnl
OlympicArena: Benchmarking Multi-discipline Cognitive Reasoning for Superintelligent AI.
CoRR
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
2024 J jnl
Programming Every Example: Lifting Pre-training Data Quality like Experts at Scale.
CoRR
Fan Zhou, Zengzhi Wang, Qian Liu, Junlong Li, Pengfei Liu
2024 J jnl
Unified ABSA via Annotation-Decoupled Multi-Task Instruction Tuning.
IEEE Trans. Knowl. Data Eng.
Zengzhi Wang, Rui Xia, Jianfei Yu
2023 A* conf
A Simple yet Effective Framework for Few-Shot Aspect-Based Sentiment Analysis.
SIGIR
Zengzhi Wang, Qiming Xie, Rui Xia
2023 J jnl
Ask Again, Then Fail: Large Language Models' Vacillations in Judgement.
CoRR
Qiming Xie, Zengzhi Wang, Yi Feng, Rui Xia
2023 J jnl
Generative AI for Math: Part I - MathPile: A Billion-Token-Scale Pretraining Corpus for Math.
CoRR
Zengzhi Wang, Rui Xia, Pengfei Liu
2023 J jnl
Is ChatGPT a Good Sentiment Analyzer? A Preliminary Study.
CoRR
Zengzhi Wang, Qiming Xie, Zixiang Ding, Yi Feng, Rui Xia
2023 J jnl
MEMD-ABSA: A Multi-Element Multi-Domain Dataset for Aspect-Based Sentiment Analysis.
CoRR
Hongjie Cai, Nan Song, Zengzhi Wang, Qiming Xie, Qiankun Zhao, Ke Li, Siwei Wu, Shijie Liu, Jianfei Yu, Rui Xia
2022 J jnl
UnifiedABSA: A Unified ABSA Framework Based on Multi-task Instruction Tuning.
CoRR
Zengzhi Wang, Rui Xia, Jianfei Yu
2005 A* conf
LazyCut: content-aware template-based video authoring.
ACM Multimedia
Xian-Sheng Hua, Zengzhi Wang, Shipeng Li