Dongjun Kim
19 papers · 2020–2026 · 8 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (5) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (8) π Cross-Pollinator (12)
πΊοΈ
Taxonomy Completionist
(30)
π
Conference Polyglot
(8)
π
Triple Crown
π
Grand Slam
π§¬
Topic Evolution
π
Keyword Champion
(2)
ποΈ
Keyword Collector
(52)
β‘
Prolific Year
(6)
π₯
Unstoppable
(6)
π
Century Club
(16)
Conferences
ICLR (5)
ACL (4)
ICML (3)
EMNLP (2)
NIPS (2)
AAAI (1)
CVPR (1)
NAACL (1)
Top co-authors
Keywords
diffusion model
(4)
large language model
(4)
image generation
(4)
attention mechanism
(2)
score-based model
(2)
generative model
(2)
machine unlearning
(1)
density estimation
(1)
few-shot learning
(1)
toxicity detection
(1)
bias detection
(1)
cross-modal transfer
(1)
named entity recognition
(1)
neural network optimization
(1)
domain adaptation
(1)
maximum likelihood estimation
(1)
maximum likelihood
(1)
knowledge editing
(1)
score estimation
(1)
model interpretability
(1)
Papers
Selective Span-Level Unlearning for Large Language Models
ACL 2026
MMAC: A Multilingual, Multimodal Alignment Framework for Cultural Grounding Evaluation
ACL 2026
LangSAE Editing: Improving Multilingual Information Retrieval via Post-hoc Language Identity Removal
ACL 2026
HERO: Human-Feedback Efficient Reinforcement Learning for Online Diffusion Model Finetuning
ICLR 2025
Enhancing Automatic Term Extraction with Large Language Models via Syntactic Retrieval
ACL 2025
Benchmark Profiling: Mechanistic Diagnosis of LLM Benchmarks
EMNLP 2025
KoLEG: On-the-Fly Korean Legal Knowledge Editing with Continuous Retrieval
EMNLP 2025
SoundCTM: Unifying Score-based and Consistency Models for Full-band Text-to-Sound Generation
ICLR 2025
Manifold Preserving Guided Diffusion
ICLR 2024
PaGoDA: Progressive Growing of a One-Step Generator from a Low-Resolution Diffusion Teacher
NIPS 2024
Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of Diffusion
ICLR 2024
Training Unbiased Diffusion Models From Biased Dataset
ICLR 2024
Mean-field Chaos Diffusion Models
ICML 2024
Exploring Inherent Biases in LLMs within Korean Social Context: A Comparative Analysis of ChatGPT and GPT-4
NAACL 2024
Refining Generative Process with Discriminator Guidance in Score-based Diffusion Models
ICML 2023
Maximum Likelihood Training of Implicit Nonlinear Diffusion Model
NIPS 2022
Soft Truncation: A Universal Training Technique of Score-based Diffusion Model for High Precision Score Estimation
ICML 2022
Implicit Kernel Attention
AAAI 2021
Reference-Based Sketch Image Colorization Using Augmented-Self Reference and Dense Semantic Correspondence
CVPR 2020