Papers with Code 아카이브
Knowledge Graphs
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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.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/TUDB-Labs/mLoRA
mLoRA: Fine-Tuning LoRA Adapters via Highly-Efficient Pipeline Parallelism in Multiple GPUs
https://github.com/TXH-mercury/VALOR
VAST: A Vision-Audio-Subtitle-Text Omni-Modality Foundation Model and Dataset
https://github.com/TaiseiAso/BiGruAttEncDec
Grounded Conversation Generation as Guided Traverses in Commonsense Knowledge Graphs
https://github.com/TheAiSingularity/graphrag-local-ollama
From Local to Global: A Graph RAG Approach to Query-Focused Summarization
https://github.com/ThomPijnenburg/Collab-Link-Prediction
Open Graph Benchmark: Datasets for Machine Learning on Graphs
https://github.com/Thomasyyj/EEEQA
EEE-QA: Exploring Effective and Efficient Question-Answer Representations
https://github.com/Tigter/ogblwikikg2-RotPro
Rot-Pro: Modeling Transitivity by Projection in Knowledge Graph Embedding
https://github.com/TuftsVALT/snowcat
CAVA: A Visual Analytics System for Exploratory Columnar Data Augmentation Using Knowledge Graphs
https://github.com/U-Alberta/kg-type-err-corr
Typing Errors in Factual Knowledge Graphs: Severity and Possible Ways Out
https://github.com/Unbabel/COMET
https://github.com/Userepic/KGAT-pytorch-master
https://github.com/VikhrModels/effective_llm_alignment
https://github.com/Wangyuhao06/IKEA
Silent Leaks: Implicit Knowledge Extraction Attack on RAG Systems through Benign Queries
https://github.com/WeiDongjunGabriel/MPSUM
https://github.com/WeidongLi-KG/KBGAN_PyTorch-v0.4.1
https://github.com/WenqiJiang/SC-ANN-FPGA
https://github.com/XAI-liacs/BLADE
Evolution of Heuristics: Towards Efficient Automatic Algorithm Design Using Large Language Model
https://github.com/XGenerationLab/M-Schema
A Preview of XiYan-SQL: A Multi-Generator Ensemble Framework for Text-to-SQL
https://github.com/XGenerationLab/XiYan-DateResolver
A Preview of XiYan-SQL: A Multi-Generator Ensemble Framework for Text-to-SQL
https://github.com/Y-Sui/GPT4Table
https://github.com/YuTesla/KGNN-LS-learn
Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender Systems
https://github.com/YuanJianhao508/RAG-Driver
https://github.com/Zefty/rag-end2end-retriever
Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
https://github.com/ZhangYiqun018/StickerConv
https://github.com/Ziyang412/VideoTree
VideoAgent: Long-form Video Understanding with Large Language Model as Agent
https://github.com/a16z-infra/ai-town
https://github.com/a19hu/Social_media_export_chat
https://github.com/abhinavnagpal/KNOWLEDGE-GRAPH-PAPERS
A Review of Relational Machine Learning for Knowledge Graphs
https://github.com/adaruna3/explainable-kge
https://github.com/adlik/vllm
Efficient Memory Management for Large Language Model Serving with PagedAttention
https://github.com/adymaharana/DeepPath_PyTorch
DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning
https://github.com/agentcoord/agentcoord
ExpertPrompting: Instructing Large Language Models to be Distinguished Experts
https://github.com/agentica-project/verl-pipeline
https://github.com/agiresearch/litecua
LLM as OS, Agents as Apps: Envisioning AIOS, Agents and the AIOS-Agent Ecosystem
https://github.com/ai4co/llm-as-hh
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.