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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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Instruction Tuning for Large Language Models: A Survey
Shengyu Zhang, Linfeng Dong, +9
arXiv (Cornell University)
|
2023
|
96 citations
Large Language Models Struggle to Learn Long-Tail Knowledge
Nikhil Kandpal, Haikang Deng, +3
arXiv (Cornell University)
|
2022
|
96 citations
Learning a Convolutional Neural Network for Non-uniform Motion Blur Removal
Jian Sun, Wenfei Cao, +2
arXiv (Cornell University)
|
2015
|
96 citations
Learning Deep Transformer Models for Machine Translation
Qiang Wang, Bei Li, +5
arXiv (Cornell University)
|
2019
|
96 citations
Learning Representations for Automatic Colorization
Gustav Larsson, Michael Maire, +1
arXiv (Cornell University)
|
2016
|
96 citations
Learning to Learn: Meta-Critic Networks for Sample Efficient Learning
Flood Sung, Li Zhang, +3
arXiv (Cornell University)
|
2017
|
96 citations
Learning to Paraphrase: An Unsupervised Approach Using Multiple-Sequence Alignment
Regina Barzilay, Lillian Lee
ArXiv.org
|
2003
|
96 citations
Maxwell Construction: The Hidden Bridge between Iterative and Maximum a Posteriori Decoding
Cyril Méasson, Andrea Montanari, +1
arXiv (Cornell University)
|
2005
|
96 citations
Meta-Gradient Reinforcement Learning
Zhongwen Xu, Hado van Hasselt, +1
arXiv (Cornell University)
|
2018
|
96 citations
Meta-Learning and Universality: Deep Representations and Gradient Descent can Approximate any Learning Algorithm
Chelsea Finn, Sergey Levine
arXiv (Cornell University)
|
2017
|
96 citations
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