https://github.com/FoundationVision/VAR
공식 코드Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction
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/FudanDNN-NLP/RAG
공식 코드Searching for Best Practices in Retrieval-Augmented Generation
https://github.com/GAIR-NLP/PC-Agent
공식 코드PC Agent: While You Sleep, AI Works -- A Cognitive Journey into Digital World
https://github.com/GRAAL-Research/quebec-insurance-rag-corpora
공식 코드Quebec Automobile Insurance Question-Answering With Retrieval-Augmented Generation
https://github.com/GanjinZero/CODER
공식 코드CODER: Knowledge infused cross-lingual medical term embedding for term normalization
https://github.com/GemsLab/KGist
공식 코드https://github.com/GenseeAI/cognify
공식 코드Cognify: Supercharging Gen-AI Workflows With Hierarchical Autotuning
https://github.com/GentleZhu/EGI
공식 코드Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization
https://github.com/GhanshyamVerma/Explainable-Recommender-System
공식 코드https://github.com/GillesVandewiele/WalkExperiments
공식 코드Walk Extraction Strategies for Node Embeddings with RDF2Vec in Knowledge Graphs
https://github.com/Godheritage/SCOPE
공식 코드SCOPE: Sign Language Contextual Processing with Embedding from LLMs
https://github.com/Goedel-LM/Goedel-Prover
공식 코드Goedel-Prover: A Frontier Model for Open-Source Automated Theorem Proving
https://github.com/Guang000/Awesome-Dataset-Distillation
공식 코드https://github.com/GuanghuiFU/counselor_support
공식 코드https://github.com/HC-Guo/Owl
공식 코드https://github.com/HELL-TO-HEAVEN/KGE-CL
공식 코드KGE-CL: Contrastive Learning of Tensor Decomposition Based Knowledge Graph Embeddings
https://github.com/HKUST-KnowComp/ASER
공식 코드https://github.com/HKUST-KnowComp/FKGE
공식 코드https://github.com/HKUST-KnowComp/Pronoun-Coref-KG
공식 코드https://github.com/Hang422/causal-thought-graph
공식 코드Causal Graphs Meet Thoughts: Enhancing Complex Reasoning in Graph-Augmented LLMs
https://github.com/HanningChen/VLTP
공식 코드VLTP: Vision-Language Guided Token Pruning for Task-Oriented Segmentation
https://github.com/HaochenLiu2000/QAP
공식 코드Question-Aware Knowledge Graph Prompting for Enhancing Large Language Models
https://github.com/HaochenLiu2000/SAFER
공식 코드Few-shot Knowledge Graph Relational Reasoning via Subgraph Adaptation
https://github.com/HarryShomer/Better-Inductive-KGC
공식 코드Towards Better Benchmark Datasets for Inductive Knowledge Graph Completion
https://github.com/HazyResearch/hyena-dna
공식 코드HyenaDNA: Long-Range Genomic Sequence Modeling at Single Nucleotide Resolution
https://github.com/HenryPengZou/Awesome-Human-Agent-Collaboration-Interaction-Systems
공식 코드https://github.com/Hippopotamus0308/SSTKG
공식 코드https://github.com/Holmes-Alan/FunnyNet-W
공식 코드FunnyNet-W: Multimodal Learning of Funny Moments in Videos in the Wild
https://github.com/HongzhiQ/SupervisedVsLLM-EfficacyEval
공식 코드https://github.com/HooRin/AuditWen
공식 코드https://github.com/HuihuiChyan/SelfEval
공식 코드Self-Evaluation of Large Language Model based on Glass-box Features
https://github.com/Hyun-Ryu/clover
공식 코드https://github.com/IAAR-Shanghai/Meta-Chunking
공식 코드Meta-Chunking: Learning Text Segmentation and Semantic Completion via Logical Perception
https://github.com/IAAR-Shanghai/QAEncoder
공식 코드QAEncoder: Towards Aligned Representation Learning in Question Answering System
https://github.com/IBM/Open-KG-canonicalization
공식 코드Open Knowledge Graphs Canonicalization using Variational Autoencoders
https://github.com/IBM/Retrieval-Enhanced-Transformer-Little
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.