Imagen de Portada

EPLKG: Efficient Prompt Learning with Knowledge Graph

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Lim, YongTaek, Kang, Suho, Kim, Yewon, Yoon, Dokyung, Song, KyungWoo
Formato:	Preprint
Publicado:	2023
Materias:	Artificial Intelligence Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Assessing LLM Reasoning Steps via Principal Knowledge Grounding
por: Hwang, Hyeon, et al.
Publicado: (2025)

Incremental Learning of Retrievable Skills For Efficient Continual Task Adaptation
por: Lee, Daehee, et al.
Publicado: (2024)

CAGE: A Framework for Culturally Adaptive Red-Teaming Benchmark Generation
por: Kim, Chaeyun, et al.
Publicado: (2026)

FlowPath: Learning Data-Driven Manifolds with Invertible Flows for Robust Irregularly-sampled Time Series Classification
por: Oh, YongKyung, et al.
Publicado: (2025)

Robust Policy Learning via Offline Skill Diffusion
por: Kim, Woo Kyung, et al.
Publicado: (2024)

CASA: CNN Autoencoder-based Score Attention for Efficient Multivariate Long-term Time-series Forecasting
por: Lee, Minhyuk, et al.
Publicado: (2025)

AdaTKG: Adaptive Memory for Temporal Knowledge Graph Reasoning
por: Lee, Seunghan, et al.
Publicado: (2026)

Stable Neural Stochastic Differential Equations in Analyzing Irregular Time Series Data
por: Oh, YongKyung, et al.
Publicado: (2024)

DualDynamics: Synergizing Implicit and Explicit Methods for Robust Irregular Time Series Analysis
por: Oh, YongKyung, et al.
Publicado: (2024)

Contrastive Residual Energy Test-time Adaptation
por: Han, Yewon, et al.
Publicado: (2025)

AuditoryBench++: Can Language Models Understand Auditory Knowledge without Hearing?
por: Ok, Hyunjong, et al.
Publicado: (2025)

DiSPA: Differential Substructure-Pathway Attention for Drug Response Prediction
por: Han, Yewon, et al.
Publicado: (2026)

In-Context Policy Adaptation via Cross-Domain Skill Diffusion
por: Yoo, Minjong, et al.
Publicado: (2025)

Efficient Knowledge Tracing Leveraging Higher-Order Information in Integrated Graphs
por: Han, Donghee, et al.
Publicado: (2025)

TANDEM: Temporal Attention-guided Neural Differential Equations for Missingness in Time Series Classification
por: Oh, YongKyung, et al.
Publicado: (2025)

Semi-Supervised Graph Representation Learning with Human-centric Explanation for Predicting Fatty Liver Disease
por: Kim, So Yeon, et al.
Publicado: (2024)

Eigen-Value: Efficient Domain-Robust Data Valuation via Eigenvalue-Based Approach
por: Choi, Youngjun, et al.
Publicado: (2025)

Discrete Diffusion Schrödinger Bridge Matching for Graph Transformation
por: Kim, Jun Hyeong, et al.
Publicado: (2024)

DAGPrompT: Pushing the Limits of Graph Prompting with a Distribution-aware Graph Prompt Tuning Approach
por: Chen, Qin, et al.
Publicado: (2025)

Multi-View Contrastive Learning for Robust Domain Adaptation in Medical Time Series Analysis
por: Oh, YongKyung, et al.
Publicado: (2025)

Enhanced Conditional Generation of Double Perovskite by Knowledge-Guided Language Model Feedback
por: Lee, Inhyo, et al.
Publicado: (2025)

Frictional Q-Learning
por: Kim, Hyunwoo, et al.
Publicado: (2025)

Meta-Ensemble Learning with Diverse Data Splits for Improved Respiratory Sound Classification
por: Kim, June-Woo, et al.
Publicado: (2026)

Position: State-of-the-Art Claims Require State-of-the-Art Evidence
por: Oh, YongKyung
Publicado: (2026)

Accurate Link Prediction for Edge-Incomplete Graphs via PU Learning
por: Kim, Junghun, et al.
Publicado: (2024)

Label-based Graph Augmentation with Metapath for Graph Anomaly Detection
por: Kim, Hwan, et al.
Publicado: (2023)

Comprehensive Review of Neural Differential Equations for Time Series Analysis
por: Oh, YongKyung, et al.
Publicado: (2025)

Prompt-Driven Continual Graph Learning
por: Wang, Qi, et al.
Publicado: (2025)

Tokenized Bandit for LLM Decoding and Alignment
por: Shin, Suho, et al.
Publicado: (2025)

Energy-Efficient Edge Learning via Joint Data Deepening-and-Prefetching
por: Kook, Sujin, et al.
Publicado: (2024)

Toward Reasoning on the Boundary: A Mixup-based Approach for Graph Anomaly Detection
por: Kim, Hwan, et al.
Publicado: (2024)

SMART: Relation-Aware Learning of Geometric Representations for Knowledge Graphs
por: Amouzouvi, Kossi, et al.
Publicado: (2025)

Imagine to Hear: Auditory Knowledge Generation can be an Effective Assistant for Language Models
por: Yoo, Suho, et al.
Publicado: (2025)

Multi-level Diagnosis and Evaluation for Robust Tabular Feature Engineering with Large Language Models
por: Lim, Yebin, et al.
Publicado: (2025)

Efficient Prompt Learning for Traffic Forecasting
por: Zhang, Qianru, et al.
Publicado: (2026)

Event-Aware Prompt Learning for Dynamic Graphs
por: Yu, Xingtong, et al.
Publicado: (2025)

Quantile-Free Uncertainty Quantification in Graph Neural Networks
por: park, Soyoung, et al.
Publicado: (2026)

From Numbers to Prompts: A Cognitive Symbolic Transition Mechanism for Lightweight Time-Series Forecasting
por: Yoon, Namkyung, et al.
Publicado: (2026)

R2R2: Robust Representation for Intensive Experience Reuse via Redundancy Reduction in Self-Predictive Learning
por: Song, Sanghyeob, et al.
Publicado: (2026)

Tracing Mathematical Proficiency Through Problem-Solving Processes
por: Park, Jungyang, et al.
Publicado: (2025)