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Guo, Daya
105  Ergebnisse:
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1

Automating code review activities by large-scale pre-traini..:

, In: Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering,
Li, Zhiyu ; Lu, Shuai ; Guo, Daya... - p. 1035-1047 , 2022
Link: https://dl.acm.org/doi/1..
 
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2

Multi-modal Representation Learning for Video Advertisement..:

, In: Proceedings of the 29th ACM International Conference on Multimedia,
Guo, Daya ; Zeng, Zhaoyang - p. 4770-4774 , 2021
Link: https://dl.acm.org/doi/1..
 
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3

SparseCoder: Identifier-Aware Sparse Transformer for File-L..:

Wang, Yanlin ; Huang, Yanxian ; Guo, Daya..
http://arxiv.org/abs/2401.14727.  , 2024
Link: http://arxiv.org/abs/240..
 
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4

DeepSeek-Coder: When the Large Language Model Meets Program..:

Guo, Daya ; Zhu, Qihao ; Yang, Dejian...
http://arxiv.org/abs/2401.14196.  , 2024
Link: http://arxiv.org/abs/240..
 
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5

DeepSeek LLM: Scaling Open-Source Language Models with Long..:

DeepSeek-AI ; : ; Bi, Xiao...
http://arxiv.org/abs/2401.02954.  , 2024
Link: http://arxiv.org/abs/240..
 
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6

Noisy Pair Corrector for Dense Retrieval:

Zhang, Hang ; Gong, Yeyun ; He, Xingwei...
http://arxiv.org/abs/2311.03798.  , 2023
Link: http://arxiv.org/abs/231..
 
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7

LongCoder: A Long-Range Pre-trained Language Model for Code..:

Guo, Daya ; Xu, Canwen ; Duan, Nan..
http://arxiv.org/abs/2306.14893.  , 2023
Link: http://arxiv.org/abs/230..
 
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8

Baize: An Open-Source Chat Model with Parameter-Efficient T..:

Xu, Canwen ; Guo, Daya ; Duan, Nan.
http://arxiv.org/abs/2304.01196.  , 2023
Link: http://arxiv.org/abs/230..
 
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9

LaPraDoR: Unsupervised Pretrained Dense Retriever for Zero-..:

Xu, Canwen ; Guo, Daya ; Duan, Nan.
http://arxiv.org/abs/2203.06169.  , 2022
Link: http://arxiv.org/abs/220..
 
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10

UniXcoder: Unified Cross-Modal Pre-training for Code Repres..:

Guo, Daya ; Lu, Shuai ; Duan, Nan...
http://arxiv.org/abs/2203.03850.  , 2022
Link: http://arxiv.org/abs/220..
 
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11

ReACC: A Retrieval-Augmented Code Completion Framework:

Lu, Shuai ; Duan, Nan ; Han, Hojae...
http://arxiv.org/abs/2203.07722.  , 2022
Link: http://arxiv.org/abs/220..
 
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12

ReACC: A Retrieval-Augmented Code Completion Framework:

Lu, Shuai ; Duan, Nan ; Han, Hojae...
PROCEEDINGS OF THE 60TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2022), VOL 1: (LONG PAPERS), pp.6227-6240.  , 2022
Link: https://hdl.handle.net/1..
 
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13

Soft-Labeled Contrastive Pre-training for Function-level Co..:

Li, Xiaonan ; Guo, Daya ; Gong, Yeyun...
http://arxiv.org/abs/2210.09597.  , 2022
Link: http://arxiv.org/abs/221..
 
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14

Automating Code Review Activities by Large-Scale Pre-traini..:

Li, Zhiyu ; Lu, Shuai ; Guo, Daya...
http://arxiv.org/abs/2203.09095.  , 2022
Link: http://arxiv.org/abs/220..
 
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15

Multi-modal Representation Learning for Video Advertisement..:

Guo, Daya ; Zeng, Zhaoyang
http://arxiv.org/abs/2109.06637.  , 2021
Link: http://arxiv.org/abs/210..
 
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