KAIST 김재철AI대학원

KAIST Kim Jaechul Graduate School of AI · 공식 출처 확인

2019년 개원한 국내 최초의 인공지능 전문 대학원. AI 분야 석사·박사 과정을 운영하며 기계학습·자연어처리·컴퓨터비전 등 원천 연구를 수행한다.

유형: 대학 연구실
AI 핵심도: 연구 중심
상태: 운영 중
본사: Daejeon
설립: 2019
웹사이트: https://gsai.kaist.ac.kr
분야: ai-researchmachine-learningnlpcomputer-visioneducation

개발 모델 1

KORMo-10B

관련 논문 91

Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question Complexity (2024)
AdaSTaR: Adaptive Data Sampling for Training Self-Taught Reasoners (2025)
Aligning Large Language Models by On-Policy Self-Judgment (2024)
Aligning to Thousands of Preferences via System Message Generalization (2024)
Fundamental Benefit of Alternating Updates in Minimax Optimization (2024)
Arithmetic Transformers Can Length-Generalize in Both Operand Length and Count (2025)
Axial Neural Networks for Dimension-Free Foundation Models (2025)
Bayesian Neural Scaling Law Extrapolation with Prior-Data Fitted Networks (2025)
The BiGGen Bench: A Principled Benchmark for Fine-grained Evaluation of Language Models with Language Models (2025)
CLIcK: A Benchmark Dataset of Cultural and Linguistic Intelligence in Korean (2024)
CoLLaVO: Crayon Large Language and Vision mOdel (2024)
Conditional Synthesis of 3D Molecules with Time Correction Sampler (2024)
Learning to Contextualize Web Pages for Enhanced Decision Making by LLM Agents (2025)
Convergence and Implicit Bias of Gradient Descent on Continual Linear Classification (2025)
The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning (2023)
Cost-Sensitive Freeze-thaw Bayesian Optimization for Efficient Hyperparameter Tuning (2025)
CUPID: Evaluating Personalized and Contextualized Alignment of LLMs from Interactions (2025)
Provable Benefit of Cutout and CutMix for Feature Learning (2024)
DASH: Warm-Starting Neural Network Training in Stationary Settings without Loss of Plasticity (2024)
Deep Video Inpainting (2019)
Delta-XAI: A Unified Framework for Explaining Prediction Changes in Online Time Series Monitoring (2026)
Diffusion Video Autoencoders: Toward Temporally Consistent Face Video Editing via Disentangled Video Encoding (2023)
DiffusionCLIP: Text-Guided Diffusion Models for Robust Image Manipulation (2022)
Dimension Agnostic Neural Processes (2025)
Distilling LLM Agent into Small Models with Retrieval and Code Tools (2025)
Dual-Stream Diffusion for World-Model Augmented Vision-Language-Action Model (2026)
DistiLLM-2: A Contrastive Approach Boosts the Distillation of LLMs (2025)
Fair Streaming Principal Component Analysis: Statistical and Algorithmic Viewpoint (2023)
FactKG: Fact Verification via Reasoning on Knowledge Graphs (2023)
Preservation of the Global Knowledge by Not-True Distillation in Federated Learning (2022)
FedSVD: Adaptive Orthogonalization for Private Federated Learning with LoRA (2025)
FLASK: Fine-grained Language Model Evaluation based on Alignment Skill Sets (2024)
Flex-Judge: Text-Only Reasoning Unleashes Zero-Shot Multimodal Evaluators (2025)
Frame Guidance: Training-Free Guidance for Frame-Level Control in Video Diffusion Models (2026)
Learning to Generate Unit Test via Adversarial Reinforcement Learning (2026)
Exploring the Practicality of Generative Retrieval on Dynamic Corpora (2023)
GL-LowPopArt: A Nearly Instance-Wise Minimax-Optimal Estimator for Generalized Low-Rank Trace Regression (2026)
Gradient Ascent Post-training Enhances Language Model Generalization (2023)
Grad-StyleSpeech: Any-speaker Adaptive Text-to-Speech Synthesis with Diffusion Models (2023)
HAMLET: Switch your Vision-Language-Action Model into a History-Aware Policy (2026)
How Well Do Large Language Models Truly Ground? (2023)
KLASS: KL-Guided Fast Inference in Masked Diffusion Models (2025)
Knowledge-Augmented Language Model Verification (2023)
Knowledge Unlearning for Mitigating Privacy Risks in Language Models (2023)
KoBBQ: Korean Bias Benchmark for Question Answering (2024)
KOLD: Korean Offensive Language Dataset (2022)
KorNAT: LLM Alignment Benchmark for Korean Social Values and Common Knowledge (2024)
KTRL+F: Knowledge-Augmented In-Document Search (2023)
LangBridge: Multilingual Reasoning Without Multilingual Supervision (2024)
KVoiceBench, KOpenAudioBench, and KMMAU: Agent-Driven Korean Speech Benchmarks for Evaluating SpeechLMs (2026)
Meteor: Mamba-based Traversal of Rationale for Large Language and Vision Models (2024)
Learning from Failure: Training Debiased Classifier from Biased Classifier (2020)
LFQ: Logit-aware Final-block Quantization for Boosting the Generation Quality of Low-Bit Quantized LLMs (2026)
MoAI: Mixture of All Intelligence for Large Language and Vision Models (2024)
MoHAVE: Mixture of Hierarchical Audio-Visual Experts for Robust Speech Recognition (2025)
MPViT: Multi-Path Vision Transformer for Dense Prediction (2022)
Multimodal Prompt Optimization: Why Not Leverage Multiple Modalities for MLLMs (2026)
Multi-Task Inference: Can Large Language Models Follow Multiple Instructions at Once? (2024)
Parameter Expanded Stochastic Gradient Markov Chain Monte Carlo (2025)
Efficient Parametric SVD of Koopman Operator for Stochastic Dynamical Systems (2025)
PLASTIC: Improving Input and Label Plasticity for Sample Efficient Reinforcement Learning (2023)
PointMixer: MLP-Mixer for Point Cloud Understanding (2022)
Position Coupling: Improving Length Generalization of Arithmetic Transformers Using Task Structure (2024)
Practical Sharpness-Aware Minimization Cannot Converge All the Way to Optima (2023)
Prometheus 2: An Open Source Language Model Specialized in Evaluating Other Language Models (2024)
Prometheus: Inducing Fine-grained Evaluation Capability in Language Models (2024)
Prometheus-Vision: Vision-Language Model as a Judge for Fine-Grained Evaluation (2024)
Rethinking the Role of Proxy Rewards in Language Model Alignment (2024)
Efficiently Enhancing Zero-Shot Performance of Instruction Following Model via Retrieval of Soft Prompt (2022)
Self-Explore: Enhancing Mathematical Reasoning in Language Models with Fine-grained Rewards (2024)
Does SGD really happen in tiny subspaces? (2025)
Semiparametric Token-Sequence Co-Supervision (2024)
SGDA with shuffling: faster convergence for nonconvex-PL minimax optimization (2023)
Tighter Lower Bounds for Shuffling SGD: Random Permutations and Beyond (2023)
Soft Truncation: A Universal Training Technique of Score-based Diffusion Model for High Precision Score Estimation (2022)
Training-Free Safe Text Embedding Guidance for Text-to-Image Diffusion Models (2025)
System Prompt Optimization with Meta-Learning (2025)
SyncDiffusion: Coherent Montage via Synchronized Joint Diffusions (2023)
TemporalWiki: A Lifelong Benchmark for Training and Evaluating Ever-Evolving Language Models (2022)
Test-Time Self-Adaptive Small Language Models for Question Answering (2023)
TIMING: Temporality-Aware Integrated Gradients for Time Series Explanation (2025)
Trajectory Alignment: Understanding the Edge of Stability Phenomenon via Bifurcation Theory (2023)
TroL: Traversal of Layers for Large Language and Vision Models (2024)
Verifying Meta-Awareness via Predictive Rewards in Reasoning Models (2026)
Verifier-free Test-Time Sampling for Vision-Language-Action Models (2026)
Video Panoptic Segmentation (2020)
Vision-aligned Latent Reasoning for Multi-modal Large Language Model (2026)
Volcano: Mitigating Multimodal Hallucination through Self-Feedback Guided Revision (2024)
When to Ensemble: Identifying Token-Level Points for Stable and Fast LLM Ensembling (2026)
VoiceLDM: Text-to-Speech with Environmental Context (2024)
XVFI: eXtreme Video Frame Interpolation (2021)

출처 및 검증

[official-website] https://gsai.kaist.ac.kr/?lang=ko

마지막 검증일: 2026-07-22

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