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Computer Science 论文解读
Computer Science 领域重要论文的 AI 解读列表，按研究动机、方法与结果结构化呈现。
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MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models
Deyao Zhu, Jun Chen, +3
arXiv (Cornell University)
|
2023
|
472 citations
Text Chunking using Transformation-Based Learning
Lance Ramshaw, Mitchell P. Marcus
ArXiv.org
|
1995
|
472 citations
Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation
Yuhuai Wu, Elman Mansimov, +3
arXiv (Cornell University)
|
2017
|
470 citations
A Survey on Recent Advances in Named Entity Recognition from Deep Learning models
Vikas Yadav, Steven Bethard
arXiv (Cornell University)
|
2019
|
468 citations
Beyond English-Centric Multilingual Machine Translation
Angela Fan, Shruti Bhosale, +15
arXiv (Cornell University)
|
2020
|
468 citations
Learning Structured Sparsity in Deep Neural Networks
Wei Wen, Chunpeng Wu, +3
arXiv (Cornell University)
|
2016
|
468 citations
Regularizing and Optimizing LSTM Language Models
Stephen Merity, Nitish Shirish Keskar, +1
arXiv (Cornell University)
|
2017
|
468 citations
Order-independent constraint-based causal structure learning
Diego Colombo, Marloes H. Maathuis
arXiv (Cornell University)
|
2014
|
466 citations
A large annotated corpus for learning natural language inference
Samuel R. Bowman, Gabor Angeli, +2
arXiv (Cornell University)
|
2015
|
465 citations
Persistence Images: A Stable Vector Representation of Persistent Homology
Henry Adams, Sofya Chepushtanova, +8
arXiv (Cornell University)
|
2015
|
465 citations
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