https://github.com/liseda-lab/seek
공식 코드Explainable Representations for Relation Prediction in Knowledge Graphs
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
A knowledge graph is a structured representation of information that organizes data into nodes (entities) and edges (relationships) to show how different pieces of knowledge are interconnected. It enables enhanced data integration, search, and inference by modeling the relationships between concepts and entities in a graph format.
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
Explainable Representations for Relation Prediction in Knowledge Graphs
Biomedical Knowledge Graph Embeddings with Negative Statements
M$^{2}$Chat: Empowering VLM for Multimodal LLM Interleaved Text-Image Generation
GenoTEX: An LLM Agent Benchmark for Automated Gene Expression Data Analysis
Neural Multi-Hop Reasoning With Logical Rules on Biomedical Knowledge Graphs
TLogic: Temporal Logical Rules for Explainable Link Forecasting on Temporal Knowledge Graphs
Visual Anchors Are Strong Information Aggregators For Multimodal Large Language Model
GainRAG: Preference Alignment in Retrieval-Augmented Generation through Gain Signal Synthesis
LLMEmb: Large Language Model Can Be a Good Embedding Generator for Sequential Recommendation
Large Language Model Distilling Medication Recommendation Model
Context-Aware Adapter Tuning for Few-Shot Relation Learning in Knowledge Graphs
XY-Cut++: Advanced Layout Ordering via Hierarchical Mask Mechanism on a Novel Benchmark
Multi-Stage Vision Token Dropping: Towards Efficient Multimodal Large Language Model
Tackling Cooperative Incompatibility for Zero-Shot Human-AI Coordination
Plan-on-Graph: Self-Correcting Adaptive Planning of Large Language Model on Knowledge Graphs
un$^2$CLIP: Improving CLIP's Visual Detail Capturing Ability via Inverting unCLIP
An Open Source Data Contamination Report for Large Language Models
Two-Stage Single Image Reflection Removal with Reflection-Aware Guidance
Contrastive Vision-Language Alignment Makes Efficient Instruction Learner
Hi-ArG: Exploring the Integration of Hierarchical Argumentation Graphs in Language Pretraining
LLM as Dataset Analyst: Subpopulation Structure Discovery with Large Language Model
Ask in Any Modality: A Comprehensive Survey on Multimodal Retrieval-Augmented Generation
LLM Platform Security: Applying a Systematic Evaluation Framework to OpenAI's ChatGPT Plugins
Mixture of Tokens: Continuous MoE through Cross-Example Aggregation
Talk Before You Retrieve: Agent-Led Discussions for Better RAG in Medical QA
Rethinking Key-Value Cache Compression Techniques for Large Language Model Serving
Distance-Adaptive Quaternion Knowledge Graph Embedding with Bidirectional Rotation
Playpen: An Environment for Exploring Learning Through Conversational Interaction
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.