Byoungjip Kim
9 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 ↓+4 more ↓ Show less ↑
π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (33) π£ Hot Topic Early Bird
π§¬
Topic Evolution
π₯
Unstoppable Β· Bronze
ποΈ
Keyword Collector
(59)
π
Trend Setter
Top co-authors
Research topics
Artificial Intelligence
(7)
Machine Learning
(7)
Core AI
(7)
Learning Types Β· Machine Learning
(6)
Deep Learning
(5)
Reinforcement Learning
(3)
Learning Types Β· Deep Learning
(3)
Models
(3)
Application Areas
(2)
Core Methods
(2)
Methods
(2)
Optimization & Theory
(2)
Computer Science
(1)
Natural Language Processing
(1)
Applications
(1)
Keywords
policy optimization
(2)
code generation
(2)
reinforcement learning
(1)
in-context learning
(1)
variational inference
(1)
bayesian inference
(1)
data augmentation
(1)
computational efficiency
(1)
state inference
(1)
multimodal learning
(1)
knowledge distillation
(1)
model pretraining
(1)
policy learning
(1)
conditional generation
(1)
image generation
(1)
class imbalance
(1)
reward prediction
(1)
stationary distribution
(1)
representation learning
(1)
active learning
(1)
Papers
Overlapping Context with Variable-Length Stride Increases Diversity when Training Large Language Model for Code
ACL 2025
Degeneration-free Policy Optimization: RL Fine-Tuning for Language Models without Degeneration
ICML 2024
Prospector: Improving LLM Agents with Self-Asking and Trajectory Ranking
EMNLP 2024
On Sample-Efficient Code Generation
EMNLP 2023
SafeDICE: Offline Safe Imitation Learning with Non-Preferred Demonstrations
NeurIPS 2023
Transferring Pre-trained Multimodal Representations with Cross-modal Similarity Matching
NeurIPS 2022
VaB-AL: Incorporating Class Imbalance and Difficulty With Variational Bayes for Active Learning
CVPR 2021
DefogGAN: Predicting Hidden Information in the StarCraft Fog of War with Generative Adversarial Nets
AAAI 2020
POMO: Policy Optimization with Multiple Optima for Reinforcement Learning
NeurIPS 2020