Reinforced ML Lab
Reinforced ML Lab
KAIST · Graduate School of AI
Professor
Prof. 이기민
Professor's page · publicationsAbout
이기민(Kimin Lee) 교수는 KAIST 김재철AI대학원 조교수로, 안전하고 유능한 의사결정 에이전트를 개발하는 것을 연구 목표로 한다. 비전-언어-행동(VLA) 모델, 인간 피드백 기반 강화학습(RLHF), AI 안전성 평가 및 벤치마크, 인간 중심 AI 등을 주로 연구한다.
Research keywords
Recent papers
- Improving Proficiency and Efficiency of Android GUI Agents via Self-Generating Tool ActionsPreprintarXiv (Cornell University) · Sep 6
- SCRIPTIOC-BENCH: A Benchmark for Recognizing Actionable Threat Intelligence from Script-Based Malware using LLMsPreprintarXiv (Cornell University) · Sep 5
From OpenAlex · papers whose author affiliation matches this university
Selected publications
- Understanding Impact of Human Feedback via Influence FunctionsACL · 2025
- Enhancing LLM Agent Safety via Causal Influence PromptingACL · 2025
- Silent Branding Attack: Trigger-free Data Poisoning Attack on Text-to-Image Diffusion ModelsCVPR · 2025
- Latent Action Pretraining from VideosICLR · 2025
- DiffusionGuard: A Robust Defense Against Malicious Diffusion-based Image EditingICLR · 2025
- Identity Decoupling for Multi-Subject Personalization of Text-to-Image ModelsNeurIPS · 2024
- Promptable Behaviors: Personalizing Multi-Objective Rewards from Human PreferencesCVPR · 2024
- Confidence-aware Reward Optimization for Fine-tuning Text-to-Image ModelsICLR · 2024
Labs doing related research
Labs that recently published on topics this lab's recent papers share
알라와미 교수 연구실
Hankuk University of Foreign Studies · Computer Science and Engineering
HFE-DDL: hybrid feature extraction and dual deep learning for android code vulnerability detectionCluster Computing · Aug 1Shared topic: Advanced Malware Detection Techniques
Automated Debugging Lab
KAIST · School of Computing
Foreword: Pre-Generation Prediction and Characterisation of LLM Test Failures using the Jacobian LensNewPreprintarXiv (Cornell University) · Oct 20Shared topic: Software Testing and Debugging Techniques
Kim Yongdae Lab
KAIST · Electrical Engineering
Branch-Level Fault Localization in ADS Planning via Temporal Coverage AnalysisProceedings of the ACM on software engineering. · Oct 1Shared topic: Software Testing and Debugging Techniques
Other labs in this department
- AI and Machine Learning LabRecruiting
Kee-Eung Kim
Artificial Intelligence, Machine Learning, Reinforcement Learning
- Robotics and ML LabRecruiting
Beomjoon Kim
Robotics, machine learning, planning
- Sehoon KimRecruiting
AI systems, efficient AI, large language models
- Computer Vision LabRecruiting
Seungryong Kim
Computer vision, machine learning
- Visual Intelligence LabRecruiting
Hyunjung Shim
Computer vision, machine learning
- Probabilistic AI LabRecruiting
Eunho Yang
Machine learning, artificial intelligence