Young Jin Kim
10 papers · 2019–2024 · 5 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (18) 🐣 Hot Topic Early Bird
💎
Century Club · Bronze
Top co-authors
Research topics
Machine Learning
(7)
Artificial Intelligence
(5)
Deep Learning
(5)
Natural Language Processing
(5)
Architectures
(5)
Application Areas
(4)
Applications
(4)
Core AI
(4)
Optimization & Theory · Machine Learning
(4)
Optimization & Theory · Deep Learning
(4)
Learning Types · Deep Learning
(2)
Learning Paradigms
(1)
Learning Types · Machine Learning
(1)
Resources & Methods
(1)
Keywords
mixture of expert
(4)
model compression
(2)
knowledge distillation
(2)
machine translation
(2)
neural machine translation
(2)
efficient computing
(2)
sparse activation
(2)
natural language understanding
(1)
efficient inference
(1)
neural network optimization
(1)
alma models
(1)
model parallelism
(1)
model pruning
(1)
communication efficiency
(1)
adaptive computation
(1)
sparse model
(1)
latent representation
(1)
parameter-efficient fine-tuning
(1)
consistency regularization
(1)
model quantization
(1)
Papers
A Paradigm Shift in Machine Translation: Boosting Translation Performance of Large Language Models
ICLR 2024
Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation
ICML 2024
PEMA: An Offsite-Tunable Plug-in External Memory Adaptation for Language Models
NAACL 2024
AutoMoE: Heterogeneous Mixture-of-Experts with Adaptive Computation for Efficient Neural Machine Translation
ACL 2023
Task-Based MoE for Multitask Multilingual Machine Translation
EMNLP 2023
Gating Dropout: Communication-efficient Regularization for Sparsely Activated Transformers
ICML 2022
Taming Sparsely Activated Transformer with Stochastic Experts
ICLR 2022
Who Says Elephants Can’t Run: Bringing Large Scale MoE Models into Cloud Scale Production
EMNLP 2022
FastFormers: Highly Efficient Transformer Models for Natural Language Understanding
EMNLP 2020
From Research to Production and Back: Ludicrously Fast Neural Machine Translation
EMNLP 2019