Yeong-Dae Kwon
7 papers · 2020–2026 · 5 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Silver
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(17)
🏆
Keyword Champion
Venues
Top co-authors
Research topics
Machine Learning
(6)
Artificial Intelligence
(3)
Mathematics & Optimization
(3)
Reinforcement Learning
(3)
Core AI
(3)
Learning Types
(3)
Optimization
(3)
Optimization & Theory · Machine Learning
(3)
Methods
(2)
Deep Learning
(1)
Natural Language Processing
(1)
Application Areas
(1)
Applications
(1)
Core Methods
(1)
Optimization & Theory · Deep Learning
(1)
Keywords
combinatorial optimization
(3)
neural combinatorial optimization
(2)
beam search
(2)
neural network
(2)
traveling salesman problem
(2)
policy optimization
(2)
active search
(2)
vehicle routing
(1)
proxy model
(1)
multilingual language model
(1)
training corpus
(1)
preference dataset
(1)
annotation consistency
(1)
language confusion
(1)
llm training
(1)
matrix encoding network
(1)
asymmetric traveling salesman
(1)
flexible flow shop
(1)
simulation rollout
(1)
matrix encoding
(1)
Papers
TLPO: Token-Level Policy Optimization for Mitigating Language Confusion in Large Language Models
ACL 2026
Preference Consistency Matters: Enhancing Preference Learning in Language Models with Automated Self-Curation of Training Corpora
NAACL 2025
Improving Instruction Following in Language Models through Proxy-Based Uncertainty Estimation
ICML 2024
Efficient Active Search for Combinatorial Optimization Problems
ICLR 2022
Simulation-guided Beam Search for Neural Combinatorial Optimization
NeurIPS 2022
Matrix encoding networks for neural combinatorial optimization
NeurIPS 2021
POMO: Policy Optimization with Multiple Optima for Reinforcement Learning
NeurIPS 2020