2025 하반기

작성자
admidea
작성일
2026-02-04
조회
128
20251202

20251216

20251223

20251230

이해영

TabLLM


김초은

NanoBanana-Pro


이성은

AnoLLM


정한교

Scaling Context Requires Rethinking Attention


박석훈

The Kernel Density Integral Transformation


한상문

IOFM: Using the Interpolation Technique on the Over-Fitted Models to Identify Clean-Annotated Samples


이경선

Anomaly 전체 리뷰


정유립

Gemini20 Live


20251104

20251111

20251125

이경선

Normal-Abnormal Guided Generalist Anomaly Detection


신윤섭

Grok Imagine and Grokipedia


이지후

Video generation models


한상문

Geometric Median (GM) Matching for Robust k-Subset Selection from Noisy Data


안영민

AI Browser : Comet & Atlas


20251102

Neuro-science

이지후

Neuroscience Seminar Introduction


이관호

Understanding Transformer from the Perspective of Associative Memory


이지후

Brief Explanation on Hopfield Network


정한교

Associative Transformer


이해영

Associative Recurrent Memory Transformer


이지후

Beyond Scaling Laws: Understanding Transformer Performance with Associative Memory


20251026

LLM Persona

이해영

LLM 페르소나 개요


김초은

LaMP: When llms meet personalization


정유립

User Embedding Model for Personalized Language Prompting


박세현

LLMs + Persona-Plug = Personalized LLMs


이경선

Synthesizeme!


박석훈

Persona vector monitoring and controlling character trait in language models

20251014

김초은

Diffusion models


정한교

Google Deepmind 2025 – On the Theoretical Limitations of Embedding-Based Retrieval


20250928

Fairness

김건웅

Fair Regression


한상문

Fair learning with Wasserstein barycenters non decomposable performance measures


이성은

Leveraging Labeled and Unlabeled Data Fair Classification


안영민

Fair Regression via Plug In Estimator and Recalibration


신윤섭

Regression under demographic parity


20250928

Asymtotics

Asymtotics 자료


20250907

Hyperbolic

&Unlearning

박세현

Hyperbolic Image-Text Representations


김초은

Hyperbolic vs. Euclidean Embeddings Few-shot Learning


이지후

Machine Unlearning in Hyperbolic vs. Euclidean Multimodal Contrastive Learning: Adapting Alignment Calibration to MERU


한상문

Erasing Concepts from Diffusion Models


이해영

Erasing Undesirable Concepts in Diffusion Models with Adversarial Preservation


정유립

Memories of Forgotten Concepts


20250904

이해영

Conformal prediction with LLM


안영민

An effective method for high dimensional log density ANOVA estimation with application to nonparametric graphical model building


Discretization Privacy Preserving Data Publishing for Causal Discovery


한상문

DDPM: Denoising Diffusion Probabilistic Models


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

ChatGPT Agent Mode

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