Zhang, Tong

Communication-Efficient Distributed Optimization using an Approximate Newton-type Method

Shamir, O., Srebro, N., & Zhang, T. (2013) · arXiv

Stochastic Gradient Optimization TechniquesDistributed Control Multi-Agent Systems

Cited by 424

Communication Compression for Decentralized Training

Tang, H., Gan, S., Zhang, C., Zhang, T., & Liu, J. (2018) · arXiv

Stochastic Gradient Optimization TechniquesDistributed Control Multi-Agent Systems

Cited by 206

RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language Models

Niu, C., Wu, Y., Zhu, J., Xu, S., Shum, K., Zhong, R., Song, J., & Zhang, T. (2024) · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingInformation Retrieval and Search Behavior

Cited by 117

Crowd Fraud Detection in Internet Advertising

Tian, T., Zhu, J., Xia, F., Zhuang, X., & Zhang, T. (2015) · Proceedings of the 24th International Conference on World Wide Web

Spam and Phishing DetectionMobile Crowdsensing and Crowdsourcing

Cited by 67

EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents

Yang, R., Chen, H., Zhang, J., Zhao, M., Qian, C., Wang, K., Wang, Q., Koripella, T. V., Movahedi, M., Li, M., et al. (2025) · arXiv

Multimodal Machine Learning ApplicationsRobot Manipulation and Learning

Cited by 29

R-Tuning: Instructing Large Language Models to Say ‘I Don’t Know’

Zhang, H., Diao, S., Lin, Y., Fung, Y., Lian, Q., Wang, X., Chen, Y., Ji, H., & Zhang, T. (2024) · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 28

Mathematical Models of Overparameterized Neural Networks

Fang, C., Dong, H., & Zhang, T. (2021) · Proceedings of the IEEE

Stochastic Gradient Optimization TechniquesNeural Networks and Applications

Cited by 26

Mitigating the Alignment Tax of RLHF

Lin, Y., Lin, H., Xiong, W., Diao, S., Liu, J., Zhang, J., Pan, R., Wang, H., Hu, W., Zhang, H., et al. (2023) · arXiv

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 10

Automatic Prompt Augmentation and Selection with Chain-of-Thought from Labeled Data

Shum, K., Diao, S., & Zhang, T. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 3

Code as Agent Harness

Ning, X., Tieu, K., Fu, D., Wei, T., Li, Z., Bei, Y., Zou, J., Ai, M., Liu, Z., Li, T.-W., et al. (2026) · arXiv

AI-based Problem Solving and PlanningSoftware Engineering Research

Cited by 0