Gong, Yeyun

CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing

Gou, Z., Shao, Z., Gong, Y., Shen, Y., Yang, Y., Duan, N., & Chen, W. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 561

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

Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy

Shao, Z., Gong, Y., Shen, Y., Huang, M., Duan, N., & Chen, W. (2023) · Findings of the Association for Computational Linguistics: EMNLP 2023

Topic ModelingInformation Retrieval and Search Behavior

Cited by 200

Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy

Shao, Z., Gong, Y., Shen, Y., Huang, M., Duan, N., & Chen, W. (2023) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 200

From Intention To Implementation: Automating Biomedical Research via LLMs

Luo, Y., Shi, L., Li, Y., Zhuang, A., Gong, Y., Liu, L., & Lin, C. (2024) · arXiv

Scientific Computing and Data ManagementArtificial Intelligence Applications

Cited by 53

AnnoLLM: Making Large Language Models to Be Better Crowdsourced Annotators

He, X., Lin, Z., Gong, Y., Jin, A.-L., Zhang, H., Lin, C., Jiao, J., Yiu, S. M., Duan, N., & Chen, W. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 34

ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem Solving

Gou, Z., Shao, Z., Gong, Y., Shen, Y., Yang, Y., Huang, M., Duan, N., & Chen, W. (2023) · arXiv

Topic ModelingMathematics, Computing, and Information Processing

Cited by 24

AutoVerus: Automated Proof Generation for Rust Code

Yang, C., Li, X., Misu, M. R. H., Yao, J., Cui, W., Gong, Y., Hawblitzel, C., Lahiri, S., Lorch, J. R., Lu, S., et al. (2024) · arXiv

Logic, programming, and type systemsSoftware Testing and Debugging Techniques

Cited by 20

AutoVerus: Automated Proof Generation for Rust Code

Yang, C., Li, X., Misu, M. R. H., Yao, J., Cui, W., Gong, Y., Hawblitzel, C., Lahiri, S., Lorch, J. R., Lu, S., et al. (2025) · Proceedings of the ACM on Programming Languages

Logic, programming, and type systemsSoftware Testing and Debugging Techniques

Cited by 20

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

Question Generation With Doubly Adversarial Nets

Bao, J., Gong, Y., Duan, N., Zhou, M., & Zhao, T. (2018) · IEEE/ACM Transactions on Audio, Speech, and Language Processing

Topic ModelingNatural Language Processing Techniques

Cited by 14

Not All Tokens Are What You Need for Pretraining

Lin, Z., Gou, Z., Gong, Y., Liu, X., Shen, Y., Xu, R., Lin, C., Yang, Y., Jiao, J., Duan, N., et al. (2024) · Advances in Neural Information Processing Systems 37

Topic ModelingNatural Language Processing Techniques

Cited by 9

Automated Proof Generation for Rust Code via Self-Evolution

Chen, T., Lu, S., Lu, S., Gong, Y., Yang, C., Li, X., Misu, M. R. H., Yu, H., Duan, N., Cheng, P., et al. (2024) · arXiv

Logic, programming, and type systemsSoftware Testing and Debugging Techniques

Cited by 1

Beyond Pass@1: Self-Play with Variational Problem Synthesis Sustains RLVR

Liang, X., Li, Z., Gong, Y., Shen, Y., Wu, Y. N., Guo, Z., & Chen, W. (2025) · arXiv

Topic ModelingReinforcement Learning in Robotics

Cited by 0