20250806

이관호

Efficient Detection of LLM-generated Texts with a Bayesian

한상문

BIRD

안영민

Bayesian Calibration of Win Rate Estimation with LLM Evaluators

신윤섭

Beyond the Black Box: A Statistical Model for LLM Reasoning and Inference

김찬우

Ensemble Bayesian Inference

이해영

Bayesian reward models for llm alignment

20250708
20250722
20250729

박세현

Reasoning in LLM

김초은

Neural Flow Diffusion Models Learnable Forward Process for Improved Diffusion Modeling

이지후

CBLLMs

이관호

Data Privacy를 위한 데이터 익명화와 비식별화

정한교

Knowledge Graph

정유립

.

20250501
20250508
20250520
20250525

이해영

Tracing the thoughts of a LLM

정한교

TabPFNv2

이경선

LLMs Coding Capabilities

이경선

Noise contrastive Estimation of Unnormalized Statistical Models

이지후

OpenAI Safety Hub

정한교

Ontology papers

이관호

Cursor

20250401
20250408
20250415

김초은

Fair AI platform

이해영

Bayesian Low-Rank Adaptation for Large Language Models

정유립

AI Agent: Microsoft and Anthropic

정유립

AI Agent: MCP and A2A

박석훈

ChatGPT for Research and Publication

20250401
20250415
Fairness

정유립

1. Kearns et al. – Preventing Fairness Gerrymandering

이경선

3. Kearns et al. – An Empirical Study of Rich Subgroup Fairness for Machine Learning

신윤섭

2. Gohar and Cheng – A Survey on Intersectional Fairness

정한교

4. Molina and Loiseau – Bounding and Approximating Intersectional Fairness

이해영

5. Foulds et al. – An Intersectional Definition of Fairness

김초은

6. Shui et al. – On Learning Fairness and Accuracy on Multiple Subgroups

이지후

7. Hu et al. – 2024 – A Sequentially Fair Mechanism for Multiple Sensitive AttributesFair AI platform

박세현

8. Tian et al. – Multifair Model Fairness with Multiple Sensitive Attributes