Young Jin Kim
10 papers · 2019–2024 · 5 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (15) π Conference Polyglot (5) π Academic Marathon (5) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (18)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π
Century Club
(10)
Conferences
EMNLP (4)
ICLR (2)
ICML (2)
ACL (1)
NAACL (1)
Top co-authors
Keywords
mixture of expert
(3)
knowledge distillation
(2)
sparse activation
(2)
neural machine translation
(2)
efficient computing
(2)
model compression
(2)
neural network optimization
(1)
model parallelism
(1)
model pruning
(1)
communication efficiency
(1)
adaptive computation
(1)
sparse model
(1)
latent representation
(1)
parameter-efficient fine-tuning
(1)
inference optimization
(1)
inference efficiency
(1)
structured pruning
(1)
gating mechanism
(1)
external memory
(1)
teacher-student training
(1)
Papers
A Paradigm Shift in Machine Translation: Boosting Translation Performance of Large Language Models
ICLR 2024
PEMA: An Offsite-Tunable Plug-in External Memory Adaptation for Language Models
NAACL 2024
Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation
ICML 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
Taming Sparsely Activated Transformer with Stochastic Experts
ICLR 2022
Who Says Elephants Canβt Run: Bringing Large Scale MoE Models into Cloud Scale Production
EMNLP 2022
Gating Dropout: Communication-efficient Regularization for Sparsely Activated Transformers
ICML 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