Zhao, Hai

CMMLU: Measuring massive multitask language understanding in Chinese

Li, H., Zhang, Y., Koto, F., Yang, Y., Zhao, H., Gong, Y., Duan, N., & Baldwin, T. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 464

Semantics-Aware BERT for Language Understanding

Zhang, Z., Wu, Y., Zhao, H., Li, Z., Zhang, S., Zhou, X., & Zhou, X. (2020) · Proceedings of the AAAI Conference on Artificial Intelligence

Topic ModelingNatural Language Processing Techniques

Cited by 364

PyramidInfer: Pyramid KV Cache Compression for High-throughput LLM Inference

Yang, D., Han, X., Gao, Y., Hu, Y., Zhang, S., & Zhao, H. (2024) · Findings of the Association for Computational Linguistics ACL 2024

Topic ModelingNatural Language Processing Techniques

Cited by 52

Igniting language intelligence: The hitchhiker’s guide from chain-of-thought reasoning to language agents

Zhang, Z., Yao, Y., Zhang, A., Tang, X., Ma, X., He, Z., Wang, Y., Gerstein, M., Wang, R., Liu, G., et al. (2025) · ACM Computing Surveys

Topic ModelingNatural Language Processing Techniques

Cited by 51

PyramidInfer: Pyramid KV Cache Compression for High-throughput LLM Inference

Yang, D., Han, X., Gao, Y., Hu, Y., Zhang, S., & Zhao, H. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 31

Query Rewriting for Retrieval-Augmented Large Language Models

Ma, X., Gong, Y., He, P., Zhao, H., & Duan, N. (2023) · arXiv

Information Retrieval and Search BehaviorTopic Modeling

Cited by 14

Self-prompted Chain-of-Thought on Large Language Models for Open-domain Multi-hop Reasoning

Wang, J., Li, J., & Zhao, H. (2023) · Findings of the Association for Computational Linguistics: EMNLP 2023

Topic ModelingMultimodal Machine Learning Applications

Cited by 9

BatGPT: A Bidirectional Autoregessive Talker from Generative Pre-trained Transformer

Li, Z., Zhang, S., Zhao, H., Yang, Y., & Yang, D. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 8

Remember Me, Refine Me: A Dynamic Procedural Memory Framework for Experience-Driven Agent Evolution

Cao, Z., Deng, J., Yu, L., Zhou, W., Liu, Z., Ding, B., & Zhao, H. (2026) · Findings of the Association for Computational Linguistics: ACL 2026

AI-based Problem Solving and PlanningDomain Adaptation and Few-Shot Learning

Cited by 2