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Damai Dai
Damai Dai
其他姓名代达劢
Peking University, DeepSeek AI
在 pku.edu.cn 的电子邮件经过验证
标题
引用次数
引用次数
年份
A survey on in-context learning
Q Dong, L Li, D Dai, C Zheng, J Ma, R Li, H Xia, J Xu, Z Wu, B Chang, ...
Proceedings of the 2024 Conference on Empirical Methods in Natural Language …, 2024
12702024
Knowledge neurons in pretrained transformers
D Dai, L Dong, Y Hao, Z Sui, C Baobao, F Wei
Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022
4842022
Why can GPT learn in-context? language models implicitly perform gradient descent as meta-optimizers
D Dai, Y Sun, L Dong, Y Hao, S Ma, Z Sui, F Wei
Findings of the Association for Computational Linguistics: ACL 2023, 4005-4019, 2023
3472023
Deepseek llm: Scaling open-source language models with longtermism
X Bi, D Chen, G Chen, S Chen, D Dai, C Deng, H Ding, K Dong, Q Du, ...
arXiv preprint arXiv:2401.02954, 2024
1602024
Deepseekmoe: Towards ultimate expert specialization in mixture-of-experts language models
D Dai, C Deng, C Zhao, RX Xu, H Gao, D Chen, J Li, W Zeng, X Yu, Y Wu, ...
Proceedings of the 62nd Annual Meeting of the Association for Computational …, 2024
1082024
Calibrating Factual Knowledge in Pretrained Language Models
Q Dong*, D Dai*, Y Song, J Xu, Z Sui, L Li
Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
1052022
Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning
L Wang, L Li, D Dai, D Chen, H Zhou, F Meng, J Zhou, X Sun
(EMNLP 2023 Best Long Paper) Proceedings of the 2023 Conference on Empirical …, 2023
1032023
Math-shepherd: Verify and reinforce llms step-by-step without human annotations
P Wang, L Li, Z Shao, RX Xu, D Dai, Y Li, D Chen, Y Wu, Z Sui
Proceedings of the 62nd Annual Meeting of the Association for Computational …, 2024
95*2024
Preliminary study on the construction of Chinese medical knowledge graph
O Byambasuren, Y Yang, Z Sui, D Dai, B Chang, S Li, H Zan
Journal of Chinese Information Processing 33 (10), 1-9, 2019
80*2019
On the representation collapse of sparse mixture of experts
Z Chi, L Dong, S Huang, D Dai, S Ma, B Patra, S Singhal, P Bajaj, X Song, ...
Advances in Neural Information Processing Systems 35, 34600-34613, 2022
732022
Livebot: Generating live video comments based on visual and textual contexts
S Ma, L Cui, D Dai, F Wei, X Sun
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 6810-6817, 2019
662019
Learning to control the fine-grained sentiment for story ending generation
F Luo*, D Dai*, P Yang, T Liu, B Chang, Z Sui, X Sun
Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019
642019
DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model
DeepSeek-AI, A Liu, B Feng, B Wang, B Wang, B Liu, C Zhao, C Dengr, ...
arXiv preprint arXiv:2405.04434, 2024
622024
DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence
Q Zhu, D Guo, Z Shao, D Yang, P Wang, R Xu, Y Wu, Y Li, H Gao, S Ma, ...
arXiv preprint arXiv:2406.11931, 2024
592024
StableMoE: Stable Routing Strategy for Mixture of Experts
D Dai, L Dong, S Ma, B Zheng, Z Sui, B Chang, F Wei
Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022
562022
Sememe prediction: Learning semantic knowledge from unstructured textual wiki descriptions
W Li, X Ren, D Dai, Y Wu, H Wang, X Sun
arXiv preprint arXiv:1808.05437, 2018
212018
Inductively Representing Out-of-Knowledge-Graph Entities by Optimal Estimation Under Translational Assumptions
D Dai*, H Zheng*, F Luo, P Yang, T Liu, Z Sui, B Chang
Proceedings of the 6th ACL Workshop on Representation Learning for NLP …, 2021
192021
Neural knowledge bank for pretrained transformers
D Dai, W Jiang, Q Dong, Y Lyu, Z Sui
CCF International Conference on Natural Language Processing and Chinese …, 2023
172023
Hierarchical Curriculum Learning for AMR Parsing
P Wang, L Chen, T Liu, D Dai, Y Cao, B Chang, Z Sui
Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022
162022
Behind the scenes: An exploration of trigger biases problem in few-shot event classification
P Wang, R Xun, T Liu, D Dai, B Chang, Z Sui
Proceedings of the 30th ACM International Conference on Information …, 2021
162021
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