Jaewoong Cho
14 papers · 2020–2025 · 6 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
Jump to papers ↓+5 more ↓ Show less ↑
π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (29) π Conference Polyglot Β· Silver π£ Hot Topic Early Bird π Academic Marathon Β· Sprint
π
Triple Crown
β‘
Prolific Year Β· Productive
β
The Questioner
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(65)
Top co-authors
Research topics
Artificial Intelligence
(9)
Machine Learning
(9)
Core AI Β· Artificial Intelligence
(9)
Deep Learning
(7)
Application Areas
(7)
Models
(4)
Computer Vision
(3)
Natural Language Processing
(3)
Resources & Methods
(3)
Core Methods
(2)
Generation
(2)
Learning Types
(2)
Mathematics & Optimization
(1)
Architectures
(1)
Core AI Β· Computer Vision
(1)
Keywords
diffusion model
(4)
large language model
(3)
zero-shot learning
(2)
language model
(2)
variational inference
(1)
sparse coding
(1)
benchmark evaluation
(1)
question answering
(1)
binary classification
(1)
text generation
(1)
image synthesis
(1)
transformer
(1)
text-to-image generation
(1)
semantic knowledge
(1)
kernel density estimation
(1)
speech synthesis
(1)
vector quantization
(1)
image clustering
(1)
probabilistic framework
(1)
model interpretability
(1)
Papers
Bridging the Gap between Expert and Language Models: Concept-guided Chess Commentary Generation and Evaluation
NAACL 2025
DiTTo-TTS: Diffusion Transformers for Scalable Text-to-Speech without Domain-Specific Factors
ICLR 2025
Efficient Generative Modeling with Residual Vector Quantization-Based Tokens
ICML 2025
FlashAdventure: A Benchmark for GUI Agents Solving Full Story Arcs in Diverse Adventure Games
EMNLP 2025
Lexico: Extreme KV Cache Compression via Sparse Coding over Universal Dictionaries
ICML 2025
Rare-to-Frequent: Unlocking Compositional Generation Power of Diffusion Models on Rare Concepts with LLM Guidance
ICLR 2025
Accelerating Multilingual Language Model for Excessively Tokenized Languages
ACL 2024
A Simple Early Exiting Framework for Accelerated Sampling in Diffusion Models
ICML 2024
Can Mamba Learn How To Learn? A Comparative Study on In-Context Learning Tasks
ICML 2024
CLaM-TTS: Improving Neural Codec Language Model for Zero-Shot Text-to-Speech
ICLR 2024
Image Clustering Conditioned on Text Criteria
ICLR 2024
Latent Paraphrasing: Perturbation on Layers Improves Knowledge Injection in Language Models
NeurIPS 2024
Censored Sampling of Diffusion Models Using 3 Minutes of Human Feedback
NeurIPS 2023
A Fair Classifier Using Kernel Density Estimation
NeurIPS 2020