Zhangyue Yin
Zhangyue Yin
Verified email at - Homepage
Cited by
Cited by
The rise and potential of large language model based agents: A survey
Z Xi, W Chen, X Guo, W He, Y Ding, B Hong, M Zhang, J Wang, S Jin, ...
arXiv preprint arXiv:2309.07864, 2023
Do Large Language Models Know What They Don't Know?
Z Yin, Q Sun, Q Guo, J Wu, X Qiu, X Huang
Findings of the Association for Computational Linguistics: ACL 2023, 8653–8665, 2023
Secrets of rlhf in large language models part i: Ppo
R Zheng, S Dou, S Gao, Y Hua, W Shen, B Wang, Y Liu, S Jin, Q Liu, ...
arXiv preprint arXiv:2307.04964, 2023
MOSS: An Open Conversational Large Language Model
T Sun, X Zhang, Z He, P Li, Q Cheng, X Liu, H Yan, Y Shao, Q Tang, ...
Mach. Intell. Res. (2024). 7, 2024
Evaluating hallucinations in chinese large language models
Q Cheng, T Sun, W Zhang, S Wang, X Liu, M Zhang, J He, M Huang, Z Yin, ...
arXiv preprint arXiv:2310.03368, 2023
A survey of reasoning with foundation models
J Sun, C Zheng, E Xie, Z Liu, R Chu, J Qiu, J Xu, M Ding, H Li, M Geng, ...
arXiv preprint arXiv:2312.11562, 2023
Exchange-of-thought: Enhancing large language model capabilities through cross-model communication
Z Yin, Q Sun, C Chang, Q Guo, J Dai, XJ Huang, X Qiu
Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023
Llatrieval: Llm-verified retrieval for verifiable generation
X Li, C Zhu, L Li, Z Yin, T Sun, X Qiu
arXiv preprint arXiv:2311.07838, 2023
Improving abstractive dialogue summarization with speaker-aware supervised contrastive learning
Z Geng, M Zhong, Z Yin, X Qiu, XJ Huang
Proceedings of the 29th International Conference on Computational …, 2022
Can AI Assistants Know What They Don't Know?
Q Cheng, T Sun, X Liu, W Zhang, Z Yin, S Li, L Li, K Chen, X Qiu
arXiv preprint arXiv:2401.13275, 2024
The Rise and Potential of Large Language Model Based Agents: A Survey (2023)
Z Xi, W Chen, X Guo, W He, Y Ding, B Hong, M Zhang, J Wang, S Jin, ...
URL https://arxiv. org/abs/2309.07864, 0
Corex: Pushing the Boundaries of Complex Reasoning through Multi-Model Collaboration
Q Sun, Z Yin, X Li, Z Wu, X Qiu, L Kong
arXiv preprint arXiv:2310.00280, 2023
Rethinking label smoothing on multi-hop question answering
Z Yin, Y Wang, X Hu, Y Wu, H Yan, X Zhang, Z Cao, X Huang, X Qiu
China National Conference on Chinese Computational Linguistics, 72-87, 2023
Correspondence transformers with asymmetric feature learning and matching flow super-resolution
Y Sun, D Zhao, Z Yin, Y Huang, T Gui, W Zhang, W Ge
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
Turner: The uncertainty-based retrieval framework for chinese ner
Z Geng, H Yan, Z Yin, C An, X Qiu
arXiv preprint arXiv:2202.09022, 2022
A survey of neural code intelligence: Paradigms, advances and beyond
Q Sun, Z Chen, F Xu, K Cheng, C Ma, Z Yin, J Wang, C Han, R Zhu, ...
arXiv preprint arXiv:2403.14734, 2024
What dense graph do you need for self-attention?
Y Wang, CT Lee, Q Guo, Z Yin, Y Zhou, X Huang, X Qiu
International Conference on Machine Learning, 22752-22768, 2022
Benchmarking Hallucination in Large Language Models based on Unanswerable Math Word Problem
Y Sun, Z Yin, Q Guo, J Wu, X Qiu, H Zhao
Proceedings of the 2024 Joint International Conference on Computational …, 2024
-NL2GQL: A Model Coordination and Knowledge Graph Alignment Approach for NL2GQL
Y Zhou, Y He, S Tian, Y Ni, Z Yin, X Liu, C Ji, S Liu, X Qiu, G Ye, H Chai
Unified Active Retrieval for Retrieval Augmented Generation
Q Cheng, X Li, S Li, Q Zhu, Z Yin, Y Shao, L Li, T Sun, H Yan, X Qiu
arXiv preprint arXiv:2406.12534, 2024
The system can't perform the operation now. Try again later.
Articles 1–20