Shen, Yelong

LoRA: Low-Rank Adaptation of Large Language Models

Hu, E. J., Shen, Y., Wallis, P., Allen-Zhu, Z., Li, Y., Wang, S., Wang, L., & Chen, W. (2021) · arXiv

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 13,453

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

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

MART: Memory-Augmented Recurrent Transformer for Coherent Video Paragraph Captioning

Lei, J., Wang, L., Shen, Y., Yu, D., Berg, T., & Bansal, M. (2020) · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics

Multimodal Machine Learning ApplicationsVideo Analysis and Summarization

Cited by 179

Generation-Augmented Retrieval for Open-Domain Question Answering

Mao, Y., He, P., Liu, X., Shen, Y., Gao, J., Han, J., & Chen, W. (2021) · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)

Topic ModelingInformation Retrieval and Search Behavior

Cited by 146

Controllable Natural Language Generation with Contrastive Prefixes

Qian, J., Dong, L., Shen, Y., Wei, F., & Chen, W. (2022) · Findings of the Association for Computational Linguistics: ACL 2022

Topic ModelingNatural Language Processing Techniques

Cited by 74

Recurrent Chunking Mechanisms for Long-Text Machine Reading Comprehension

Gong, H., Shen, Y., Yu, D., Chen, J., & Yu, D. (2020) · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics

Topic ModelingMultimodal Machine Learning Applications

Cited by 42

Generation-Augmented Retrieval for Open-domain Question Answering

Mao, Y., He, P., Liu, X., Shen, Y., Gao, J., Han, J., & Chen, W. (2020) · arXiv

Information Retrieval and Search BehaviorTopic Modeling

Cited by 31

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

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

Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling

Ren, L., Liu, Y., Lu, Y., Shen, Y., Liang, C., & Chen, W. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 8

Efficient RLHF: Reducing the Memory Usage of PPO

Santacroce, M., Lu, Y., Yu, H., Li, Y., & Shen, Y. (2023) · arXiv

Reinforcement Learning in RoboticsNatural Language Processing Techniques

Cited by 4

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

ThetaEvolve: Test-time Learning on Open Problems

Wang, Y., Su, S.-R., Zeng, Z., Xu, E., Ren, L., Yang, X., Huang, Z., He, X., Ma, L., Peng, B., et al. (2025) · arXiv

Evolutionary Algorithms and ApplicationsAI-based Problem Solving and Planning

Cited by 0