Követés
Daya Guo
Daya Guo
DeepSeek-AI
E-mail megerősítve itt: mail2.sysu.edu.cn - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
Codebert: A pre-trained model for programming and natural languages
Z Feng, D Guo, D Tang, N Duan, X Feng, M Gong, L Shou, B Qin, T Liu, ...
arXiv preprint arXiv:2002.08155, 2020
27152020
Graphcodebert: Pre-training code representations with data flow
D Guo, S Ren, S Lu, Z Feng, D Tang, S Liu, L Zhou, N Duan, ...
arXiv preprint arXiv:2009.08366, 2020
1196*2020
Codexglue: A machine learning benchmark dataset for code understanding and generation
S Lu, D Guo, S Ren, J Huang, A Svyatkovskiy, A Blanco, C Clement, ...
arXiv preprint arXiv:2102.04664, 2021
1096*2021
Unixcoder: Unified cross-modal pre-training for code representation
D Guo, S Lu, N Duan, Y Wang, M Zhou, J Yin
arXiv preprint arXiv:2203.03850, 2022
5332022
Codebleu: a method for automatic evaluation of code synthesis
S Ren, D Guo, S Lu, L Zhou, S Liu, D Tang, N Sundaresan, M Zhou, ...
arXiv preprint arXiv:2009.10297, 2020
4182020
DeepSeek-Coder: When the Large Language Model Meets Programming--The Rise of Code Intelligence
D Guo, Q Zhu, D Yang, Z Xie, K Dong, W Zhang, G Chen, X Bi, Y Wu, ...
arXiv preprint arXiv:2401.14196, 2024
3542024
Baize: An open-source chat model with parameter-efficient tuning on self-chat data
C Xu, D Guo, N Duan, J McAuley
arXiv preprint arXiv:2304.01196, 2023
2672023
Graph-based reasoning over heterogeneous external knowledge for commonsense question answering
S Lv, D Guo, J Xu, D Tang, N Duan, M Gong, L Shou, D Jiang, G Cao, ...
Proceedings of the AAAI conference on artificial intelligence 34 (05), 8449-8456, 2020
2192020
Automating code review activities by large-scale pre-training
Z Li, S Lu, D Guo, N Duan, S Jannu, G Jenks, D Majumder, J Green, ...
Proceedings of the 30th ACM Joint European Software Engineering Conference …, 2022
168*2022
Dialog-to-action: Conversational question answering over a large-scale knowledge base
D Guo, D Tang, N Duan, M Zhou, J Yin
Advances in neural information processing systems 31, 2018
1452018
Deepseekmath: Pushing the limits of mathematical reasoning in open language models
Z Shao, P Wang, Q Zhu, R Xu, J Song, X Bi, H Zhang, M Zhang, YK Li, ...
arXiv preprint arXiv:2402.03300, 2024
1402024
Reacc: A retrieval-augmented code completion framework
S Lu, N Duan, H Han, D Guo, S Hwang, A Svyatkovskiy
arXiv preprint arXiv:2203.07722, 2022
1142022
Multi-task learning for conversational question answering over a large-scale knowledge base
T Shen, X Geng, T Qin, D Guo, D Tang, N Duan, G Long, D Jiang
arXiv preprint arXiv:1910.05069, 2019
992019
CodeBERT: a pre-trained model for programming and natural languages (2020)
Z Feng, D Guo, D Tang, N Duan, X Feng, M Gong, L Shou, B Qin, T Liu, ...
arXiv preprint arXiv:2002.08155, 2002
802002
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
78*2024
Coupling retrieval and meta-learning for context-dependent semantic parsing
D Guo, D Tang, N Duan, M Zhou, J Yin
arXiv preprint arXiv:1906.07108, 2019
612019
Question generation from sql queries improves neural semantic parsing
D Guo, Y Sun, D Tang, N Duan, J Yin, H Chi, J Cao, P Chen, M Zhou
arXiv preprint arXiv:1808.06304, 2018
602018
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
562024
Learning to complete code with sketches
D Guo, A Svyatkovskiy, J Yin, N Duan, M Brockschmidt, M Allamanis
arXiv preprint arXiv:2106.10158, 2021
552021
Deepseek-v2: A strong, economical, and efficient mixture-of-experts language model
A Liu, B Feng, B Wang, B Wang, B Liu, C Zhao, C Dengr, C Ruan, D Dai, ...
arXiv preprint arXiv:2405.04434, 2024
502024
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