Zhou, Tianyi

DiSAN: Directional Self-Attention Network for RNN/CNN-Free Language Understanding

Shen, T., Zhou, T., Long, G., Jiang, J., Pan, S., & Zhang, C. (2018) · Proceedings of the AAAI Conference on Artificial Intelligence

Topic ModelingSentiment Analysis and Opinion Mining

Cited by 779

TrustLLM: Trustworthiness in Large Language Models

Huang, Y., Sun, L., Wang, H., Wu, S., Zhang, Q., Li, Y., Gao, C., Huang, Y., Lyu, W., Zhang, Y., et al. (2024) · arXiv

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 256

Hallusionbench: An Advanced Diagnostic Suite for Entangled Language Hallucination and Visual Illusion in Large Vision-Language Models

Guan, T., Liu, F., Wu, X., Xian, R., Li, Z., Liu, X., Wang, X., Chen, L., Huang, F., Yacoob, Y., et al. (2024) · 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications

Cited by 166

Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph

Liu, L., Zhou, T., Long, G., Jiang, J., Yao, L., & Zhang, C. (2019) · Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 65

Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning

Li, M., Zhang, Y., He, S., Li, Z., Zhao, H., Wang, J., Cheng, N., & Zhou, T. (2024) · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 28

ODIN: Disentangled Reward Mitigates Hacking in RLHF

Chen, L., Zhu, C., Soselia, D., Chen, J., Zhou, T., Goldstein, T., Huang, H., Shoeybi, M., & Catanzaro, B. (2024) · arXiv

Reinforcement Learning in RoboticsTopic Modeling

Cited by 13

How Many Demonstrations Do You Need for In-context Learning?

Chen, J., Chen, L., Zhu, C., & Zhou, T. (2023) · Findings of the Association for Computational Linguistics: EMNLP 2023

Topic ModelingNatural Language Processing Techniques

Cited by 12

R1-Zero's "Aha Moment" in Visual Reasoning on a 2B Non-SFT Model

Zhou, H., Li, X., Wang, R., Cheng, M., Zhou, T., & Hsieh, C.-J. (2025) · arXiv

Multimodal Machine Learning ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 0

How Can Rhetoric Reward-Hack AI Reviewers? Dissecting Rhetorical Sensitivity in AI-Based Peer Review

Li, M., Wang, C., Li, X., Zeng, X., Li, D., Shi, P., Zhou, D., & Zhou, T. (2026) · arXiv

Academic Writing and PublishingAcademic Publishing and Open Access

Cited by 0

Missing Premise exacerbates Overthinking: Are Reasoning Models losing Critical Thinking Skill?

Fan, C., Li, M., Sun, L., & Zhou, T. (2025) · arXiv

Topic ModelingMultimodal Machine Learning Applications

Cited by 0