박세현
Reasoning in LLM
김초은
Neural Flow Diffusion Models Learnable Forward Process for Improved Diffusion Modeling
이해영
Tracing the thoughts of a LLM
정한교
TabPFNv2
이경선
LLMs Coding Capabilities
Noise contrastive Estimation of Unnormalized Statistical Models
이지후
OpenAI Safety Hub
Ontology papers
이관호
Cursor
Fair AI platform
Bayesian Low-Rank Adaptation for Large Language Models
정유립
AI Agent: Microsoft and Anthropic
AI Agent: MCP and A2A
박석훈
ChatGPT for Research and Publication
1. Kearns et al. – Preventing Fairness Gerrymandering
3. Kearns et al. – An Empirical Study of Rich Subgroup Fairness for Machine Learning
신윤섭
2. Gohar and Cheng – A Survey on Intersectional Fairness
4. Molina and Loiseau – Bounding and Approximating Intersectional Fairness
5. Foulds et al. – An Intersectional Definition of Fairness
6. Shui et al. – On Learning Fairness and Accuracy on Multiple Subgroups
7. Hu et al. – 2024 – A Sequentially Fair Mechanism for Multiple Sensitive AttributesFair AI platform
8. Tian et al. – Multifair Model Fairness with Multiple Sensitive Attributes
