Research

Our Research and Publications on AI

Through our research, NetMind seeks to address the most critical challenges and opportunities in AI, and to create a brighter future for humanity by unlocking the potential of AGI.

April 09 2026Computation and Language (cs.CL)

ClawBench: Can AI Agents Complete Everyday Online Tasks?

Yuxuan Zhang,Yubo Wang,Yipeng Zhu,Penghui Du,Junwen Miao,Xuan Lu,Wendong Xu,Yunzhuo Hao,Songcheng Cai,Xiaochen Wang,Huaisong Zhang,Xian Wu,Yi Lu,Minyi Lei,Kai Zou,Huifeng Yin,Ping Nie,Liang Chen,Dongfu Jiang,Wenhu Chen,Kelsey R. Allen

March 17 2026Information Retrieval (cs.IR)

OpenResearcher: A Fully Open Pipeline for Long-Horizon Deep Research Trajectory Synthesis

Zhuofeng Li,Dongfu Jiang,Xueguang Ma,Haoxiang Zhang,Ping Nie,Yuyu Zhang,Kai Zou,Jianwen Xie,Yu Zhang,Wenhu Chen

February 10 2026Computer Vision and Pattern Recognition (cs.CV)

Beyond Closed-Pool Video Retrieval: A Benchmark and Agent Framework for Real-World Video Search and Moment Localization

Tao Yu,Yujia Yang,Haopeng Jin,Junhao Gong,Xinlong Chen,Yuxuan Zhou,Shanbin Zhang,Jiabing Yang,Xinming Wang,Hongzhu Yi,Ping Nie,Kai Zou,Zhang Zhang,Yan Huang,Liang Wang,Yeshani,Ruiwen Tao,Jin Ma,Haijin Liang,Jinwen Luo

February 05 2026Computer Vision and Pattern Recognition (cs.CV)

Context Forcing: Consistent Autoregressive Video Generation with Long Context

Shuo Chen,Cong Wei,Sun Sun,Ping Nie,Kai Zhou,Ge Zhang,Ming-Hsuan Yang,Wenhu Chen

October 24 2025Software Engineering (cs.SE)

VisCoder2: Building Multi-Language Visualization Coding Agents

Yuansheng Ni,Songcheng Cai,Xiangchao Chen,Jiarong Liang,Zhiheng Lyu,Jiaqi Deng,Kai Zou,Ping Nie,Fei Yuan,Xiang Yue,Wenhu Chen

September 01 2025Artificial Intelligence (cs.AI)

VerlTool: Towards Holistic Agentic Reinforcement Learning with Tool Use

Dongfu Jiang,Yi Lu,Zhuofeng Li,Zhiheng Lyu,Ping Nie,Haozhe Wang,Alex Su,Hui Chen,Kai Zou,Chao Du,Tianyu Pang,Wenhu Chen

February 03 2025Software Engineering (cs.SE)

AceCoder: Acing Coder RL via Automated Test-Case Synthesis

Huaye Zeng,Dongfu Jiang,Haozhe Wang,Ping Nie,Xiaotong Chen,Wenhu Chen

June 04 2025Software Engineering (cs.SE)

VisCoder: Fine-Tuning LLMs for Executable Python Visualization Code Generation

Yuansheng Ni,Ping Nie,Kai Zou,Xiang Yue,Wenhu Chen

June 03 2025Computation and Language (cs.CL)

Unleashing the Reasoning Potential of Pre-trained LLMs by Critique Fine-Tuning on One Problem

Yubo Wang,Ping Nie,Kai Zou,Lijun Wu,Wenhu Chen

May 21 2025Computer Vision and Pattern Recognition (cs.CV)

Primitive Vision: Improving Diagram Understanding in MLLMs

Shan Zhang,Aotian Chen,Yanpeng Sun,Jindong Gu,Yi-Yu Zheng,Piotr Koniusz,Kai Zou,Anton Hengel,Yuan Xue

March 26 2025Computer Vision and Pattern Recognition (cs.CV)

Math Blind: Failures in Diagram Understanding Undermine Reasoning in MLLMs

Yanpeng Sun,Shan Zhang,Wei Tang,Aotian Chen,Piotr Koniusz,Kai Zou,Yuan Xue,Anton van den Hengel

March 13 2025Computer Vision and Pattern Recognition (cs.CV)

VisualWebInstruct: Scaling up Multimodal Instruction Data through Web Search

Yiming Jia,Jiachen Li,Xiang Yue,Bo Li,Ping Nie,Kai Zou,Wenhu Chen

October 08 2024Information Retrieval (cs.IR)

Enhancing SPARQL Generation by Triplet-order-sensitive Pre-training

Chang Su,Jiexing Qi,He Yan,Kai Zou,Zhouhan Lin

January 28 2024Communications in Computer and Information Science

A New Dataset and Method for Creativity Assessment Using the Alternate Uses Task

Luning Sun, Hongyi Gu, Rebecca Myers and Zheng Yuan

January 11 2024ACM Transactions on Multimedia Computing

Transform-Equivariant Consistency Learning for Temporal Sentence Grounding

Daizong Liu, Xiaoye Qu, Jianfeng Dong, Pan Zhou, Zichuan Xu, Haozhao Wang, Xing Di, Weining Lu and Yu Cheng

2024Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

ProS: Facial Omni-Representation Learning via Prototype-Based Self-Distillation

Xing Di, Yiyu Zheng, Xiaoming Liu and Yu Cheng

20232023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

You Are Catching My Attention: Are Vision Transformers Bad Learners under Backdoor Attacks?

Zenghui Yuan, Pan Zhou, Kai Zou and Yu Cheng

December 2023Association for Computational Linguistics

Annotations Are Not All You Need: A Cross-modal Knowledge Transfer Network for Unsupervised Temporal Sentence Grounding

Xiang Fang, Daizong Liu, Wanlong Fang, Pan Zhou, Yu Cheng, Keke Tang and Kai Zou

October 27 2023MM '23: Proceedings of the 31st ACM International Conference on Multimedia

Filling the Information Gap between Video and Query for Language-Driven Moment Retrieval

Daizong Liu, Xiaoye Qu, Jianfeng Dong, Guoshun Nan, Pan Zhou, Zichuan Xu, Lixing Chen, He Yan and Yu Cheng

October 20 2023Computation and Language (cs.CL)

Evaluation Metrics in the Era of GPT-4: Reliably Evaluating Large Language Models on Sequence to Sequence Tasks

Andrea Sottana, Bin Liang, Kai Zou and Zheng Yuan

January 05, 2023AAAI Conference on Artificial Intelligence (AAAI) 2023

Hypotheses Tree Building for One-Shot Temporal Sentence Localization.

Daizong Liu, Xiang Fang, Pan Zhou, Xing Di, Weining Lu and Yu Cheng.

January 02, 2023Empirical Methods in Natural Language Processing (EMNLP) 2022

Rethinking the Video Sampling and Reasoning Strategies for Temporal Sentence Grounding.

Jiahao Zhu, Daizong Liu, Pan Zhou, Xing Di, Yu Cheng, Song Yang, Wenzheng Xu, Zichuan Xu, Yao Wan, Lichao Sun and Zeyu Xiong.

2022Advances in Neural Information Processing Systems

M³ViT: Mixture-of-Experts Vision Transformer for Efficient Multi-task Learning with Model-Accelerator Co-design

Hanxue Liang, Zhiwen Fan, Rishov Sarkar, Ziyu Jiang, Tianlong Chen, Kai Zou, Yu Cheng, Cong Hao and Zhangyang Wang

October 12, 2022Computation and Language (cs.CL); Artificial Intelligence (cs.AI)

Local Byte Fusion for Neural Machine Translation

Makesh Narsimhan Sreedhar, Xiangpeng Wan, Yu Cheng and Junjie Hu

December, 2022Empirical Methods in Natural Language Processing (EMNLP) 2022

RASAT: Integrating Relational Structures into Pretrained Seq2Seq Model for Text-to-SQL.

Jiexing Qi, Jingyao Tang, Ziwei He, Xiangpeng Wan, Yu Cheng, Chenghu Zhou, Xinbing Wang, Quanshi Zhang and Zhouhan Lin.

July 12, 2022ACM International Conference on Multimedia (MM) 2022

Backdoor Attacks on Crowd Counting.

Yuhua Sun, Tailai Zhang, Pan Zhou, Zichuan Xu, Xing Di and Yu Cheng.

March, 2022Soroush Vosoughi Artificial Intelligence, Volume 304

Quantifying and alleviating political bias in language models

Yuhua Sun, Tailai Zhang, Pan Zhou, Zichuan Xu, Xing Di and Yu Cheng.

January 14, 2022AAAI Conference on Artificial Intelligence (AAAI) 2022

Unsupervised Temporal Video Grounding with Deep Semantic Clustering.

Daizong Liu, Xiaoye Qu, Yinzhen Wang, Xing Di, Kai Zou, Yu Cheng, Zichuan Xu and Pan Zhou

January 03, 2022AAAI Conference on Artificial Intelligence (AAAI) 2022

Memory-Guided Semantic Learning Network for Temporal Sentence Grounding.

Daizong Liu, Xiaoye Qu, Xing Di, Yu Cheng, Zichuan Xu and Pan Zhou

March 12, 2021North American Chapter of the Association of Computational Linguistics (NAACL) 2021

Few-shot text classification with triplet networks, data augmentation, and curriculum learning.

Jason Wei, Chengyu Huang, Soroush Vosoughi, Yu Cheng and Shiqi Xu.

January 14, 2021European Chapter of the Association of Computational Linguistics (EACL) 2021

Text augmentation in a multi-task view.

Jason Wei, Chengyu Huang, Shiqi Xu and Soroush Vosoughi.

January 14, 2021AAAI Conference on artificial intelligence (AAAI) 2021

Mitigating political bias in language models through reinforced calibration.

Ruibo Liu , Chenyan Jia, Jason Wei, Guangxuan Xu, Lili Wang and Soroush Vosoughi.

November, 2020Empirical Methods in Natural Language Processing (EMNLP) 2020

An empirical survey of unsupervised text representation methods on twitter data.

Lili Wang, Chongyang Gao, Jason Wei, Weicheng Ma, Ruibo Liu and Soroush Vosoughi.

July 2020Proceedings of the 1st Workshop on NLP for COVID-19 at ACL 2020

What Are People Asking About COVID-19? A Question Classification Dataset

Jerry Wei, Chengyu Huang, Soroush Vosoughi and Jason Wei

November, 2019Empirical Conference on Natural Language Processing (EMNLP) 2019

EDA: Easy Data Augmentation techniques for boosting performance on text classification tasks.

Jason Wei and Kai Zou.

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