Yejin Kim
9 papers · 2019–2026 · 6 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 (25) 🐣 Hot Topic Early Bird
🌈
Renaissance Researcher
(5)
Top co-authors
Research topics
Machine Learning
(6)
Artificial Intelligence
(5)
Core AI
(5)
Core Methods
(5)
Deep Learning
(4)
Learning Types · Deep Learning
(4)
Learning Types · Machine Learning
(2)
Computer Science
(1)
Natural Language Processing
(1)
Reinforcement Learning
(1)
Robotics
(1)
Application Areas
(1)
Applications · Reinforcement Learning
(1)
Applications · Computer Science
(1)
Capabilities
(1)
Keywords
multimodal large language model
(2)
contrastive learning
(2)
imitation learning
(1)
continual learning
(1)
semantic information
(1)
prompt engineering
(1)
object manipulation
(1)
shortest path
(1)
maximum likelihood
(1)
item recommendation
(1)
visual navigation
(1)
knowledge graph
(1)
recurrent neural network
(1)
language model
(1)
reinforcement learning
(1)
sequential recommendation
(1)
transformer architecture
(1)
embodied agent
(1)
adversarial prompt
(1)
motion planning
(1)
Papers
A More Word-like Image Tokenization for MLLMs
CVPR 2026
Fine-Grained Multi Image Object Hallucination Benchmark
CVPR 2026
Measuring Representational Shifts in Continual Learning: A Linear Transformation Perspective
ICML 2025
ERD: A Framework for Improving LLM Reasoning for Cognitive Distortion Classification
NAACL 2024
Improving Content Recommendation: Knowledge Graph-Based Semantic Contrastive Learning for Diversity and Cold-Start Users
COLING 2024
Prompts have evil twins
EMNLP 2024
SPOC: Imitating Shortest Paths in Simulation Enables Effective Navigation and Manipulation in the Real World
CVPR 2024
Don’t Judge a Language Model by Its Last Layer: Contrastive Learning with Layer-Wise Attention Pooling
COLING 2022
Sequential and Diverse Recommendation with Long Tail
IJCAI 2019