Hyung Won Chung
18 papers · 2020–2024 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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π£ Hot Topic Early Bird π Interdisciplinary Bridge Β· Silver π Conference Polyglot Β· Silver πΊοΈ Taxonomy Completionist (36) π€ Dynamic Duo (10)
π€
Dynamic Duo
(10)
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The Questioner
(2)
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Unstoppable Β· Bronze
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Century Club Β· Bronze
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Prolific Year Β· Productive
ποΈ
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Research topics
Natural Language Processing
(13)
Resources & Methods
(11)
Artificial Intelligence
(10)
Deep Learning
(10)
Core AI
(8)
Machine Learning
(6)
Learning Types Β· Deep Learning
(5)
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Generation
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Learning Types Β· Machine Learning
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Keywords
large language model
(8)
transformer architecture
(4)
multilingual model
(3)
chain-of-thought prompting
(3)
few-shot learning
(2)
pretraining objective
(2)
instruction tuning
(2)
model scaling
(2)
parameter efficiency
(2)
multi-step reasoning
(2)
transfer learning
(1)
chain-of-thought reasoning
(1)
named entity recognition
(1)
natural language understanding
(1)
cross-lingual transfer
(1)
zero-shot learning
(1)
in-context learning
(1)
weight sharing
(1)
machine translation
(1)
metric learning
(1)
Papers
Mixture-of-Experts Meets Instruction Tuning: A Winning Combination for Large Language Models
ICLR 2024
Scaling Instruction-Finetuned Language Models
JMLR 2024
Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them
ACL 2023
Language models are multilingual chain-of-thought reasoners
ICLR 2023
PaLM: Scaling Language Modeling with Pathways
JMLR 2023
Scaling Up Models and Data with t5x and seqio
JMLR 2023
The Flan Collection: Designing Data and Methods for Effective Instruction Tuning
ICML 2023
UL2: Unifying Language Learning Paradigms
ICLR 2023
UniMax: Fairer and More Effective Language Sampling for Large-Scale Multilingual Pretraining
ICLR 2023
Charformer: Fast Character Transformers via Gradient-based Subword Tokenization
ICLR 2022
Scale Efficiently: Insights from Pretraining and Finetuning Transformers
ICLR 2022
What Language Model Architecture and Pretraining Objective Works Best for Zero-Shot Generalization?
ICML 2022
A Simple and Effective Positional Encoding for Transformers
EMNLP 2021
Do Transformer Modifications Transfer Across Implementations and Applications?
EMNLP 2021
Learning Compact Metrics for MT
EMNLP 2021
Rethinking Embedding Coupling in Pre-trained Language Models
ICLR 2021
Improving Multilingual Models with Language-Clustered Vocabularies
EMNLP 2020
Learning to Evaluate Translation Beyond English: BLEURT Submissions to the WMT Metrics 2020 Shared Task
EMNLP 2020