人気の記事一覧
UniOQA: A Unified Framework for Knowledge Graph Question Answering with Large Language Models
IJCKG 2023登壇レポート～ビジネスにおける生成AI活用と知識グラフへの期待～
Efficient Knowledge Infusion via KG-LLM Alignment
Tool-Planner: Dynamic Solution Tree Planning for Large Language Model with Tool Clustering
FOKE: A Personalized and Explainable Education Framework Integrating Foundation Models, Knowledge Graphs, and Prompt Engineering
LLMをより意味的な解釈ができるエンジンで課題を解決できる、という提言（ナレッジグラフの採用）| by Anthony Alcaraz | Dec, 2023 | Towards Data Science
Advancing drug–target interaction prediction: a comprehensive graph-based approach integrating knowledge graph embedding and ProtBert pretraining
CoRTEx: Contrastive Learning for Representing Terms via Explanations with Applications on Constructing Biomedical Knowledge Graphs
A Condensed Transition Graph Framework for Zero-shot Link Prediction with Large Language Models
InstructProtein: Aligning Human and Protein Language via Knowledge Instruction
Descriptive Knowledge Graph in Biomedical Domain
Domain Knowledge Graph Construction Via A Simple Checker
Navigating Healthcare Insights: A Birds Eye View of Explainability with Knowledge Graphs
Gena: A knowledge graph for nutrition and mental health
Comparing methods for drug–gene interaction prediction on the biomedical literature knowledge graph: performance versus explainability
日本語大規模言語モデルにおける知識グラフを活用した意味理解性能の向上～言語処理学会第29回年次大会 登壇レポート～
HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language Models
FactGenius: Combining Zero-Shot Prompting and Fuzzy Relation Mining to Improve Fact Verification with Knowledge Graphs
EffiQA: Efficient Question-Answering with Strategic Multi-Model Collaboration on Knowledge Graphs
DepsRAG: Towards Managing Software Dependencies using Large Language Models
