Yeong-Dae Kwon
7 papers · 2020–2026 · 5 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (15) π Academic Marathon (5) π Renaissance Researcher (5) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (10)
π
Conference Polyglot
(4)
π§
Keyword Pioneer
π
Keyword Champion
Conferences
NIPS (3)
ACL (1)
ICLR (1)
ICML (1)
NAACL (1)
Top co-authors
Keywords
neural network
(2)
neural combinatorial optimization
(2)
traveling salesman problem
(2)
combinatorial optimization
(2)
active search
(1)
deep neural network
(1)
beam search
(1)
vehicle routing
(1)
proxy model
(1)
multilingual language model
(1)
training corpus
(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)
flow shop scheduling
(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
NIPS 2022
Matrix encoding networks for neural combinatorial optimization
NIPS 2021
POMO: Policy Optimization with Multiple Optima for Reinforcement Learning
NIPS 2020