https://github.com/2023-MindSpore-1/ms-code-224/tree/main/advanced_east
MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models
Papers with Code 아카이브
Knowledge Graphs
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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- 평가표
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- 보존된 평가 기록
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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/2023-MindSpore-4/Code10/tree/main/DeepText
https://github.com/2023-MindSpore-4/Code12/tree/main/MindFormers/glm2
WebGLM: Towards An Efficient Web-Enhanced Question Answering System with Human Preferences
https://github.com/2024-MindSpore-1/Code2/tree/main/model-1/codegen
CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis
https://github.com/2024-MindSpore-1/Code2/tree/main/model-1/dpr
Fine-tune the Entire RAG Architecture (including DPR retriever) for Question-Answering
https://github.com/2024-MindSpore-1/Code4/tree/main/DeepText
https://github.com/2024-MindSpore-1/Code5/tree/main/advanced_east
MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models
https://github.com/2024-MindSpore-1/Code6/tree/main/advanced_east
MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models
https://github.com/42Shawn/LLaVA-PruMerge
LLaVA-PruMerge: Adaptive Token Reduction for Efficient Large Multimodal Models
https://github.com/AIM-Intelligence/Automated-Multi-Turn-Jailbreaks
LLM Defenses Are Not Robust to Multi-Turn Human Jailbreaks Yet
https://github.com/AKSW/NLIWOD
https://github.com/AMAP-ML/RealQA
https://github.com/Alishaba/pykeen-snapshot-ensembles
Multiple Run Ensemble Learning with Low-Dimensional Knowledge Graph Embeddings
https://github.com/Anna-Bele/LLM_MCTS_Search
Compiler Optimization via LLM Reasoning for Efficient Model Serving
https://github.com/ArionDas/Generative_AI_Research
Retrieval-Augmented Generation for AI-Generated Content: A Survey
https://github.com/AutoML-4Paradigm/S2S
Efficient Relation-aware Scoring Function Search for Knowledge Graph Embedding
https://github.com/AutoML-Research/KGBench
NodePiece: Compositional and Parameter-Efficient Representations of Large Knowledge Graphs
https://github.com/AutoML-Research/S2S
Efficient Relation-aware Scoring Function Search for Knowledge Graph Embedding
https://github.com/AyeshaAmjad0828/Unstructured-Data-Extraction
An agentic system with reinforcement-learned subsystem improvements for parsing form-like documents
https://github.com/BYU-PCCL/z-machine-games
https://github.com/BinWang28/InductivE
Inductive Learning on Commonsense Knowledge Graph Completion
https://github.com/Blidge/KGReasoning
https://github.com/BunsenFeng/news_stance_detection
KGAP: Knowledge Graph Augmented Political Perspective Detection in News Media
https://github.com/CMSC470-Team/Model
QA-GNN: Reasoning with Language Models and Knowledge Graphs for Question Answering
https://github.com/CRIPAC-DIG/RecTextAttack
Stealthy Attack on Large Language Model based Recommendation
https://github.com/Cloud-CV/visual-chatbot
https://github.com/CogComp/JEANS
https://github.com/DIRECT-BIT/SRA-MCTS
CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis
https://github.com/DYEvaLab/EvalMuse
Seedream 2.0: A Native Chinese-English Bilingual Image Generation Foundation Model
https://github.com/DeepGraphLearning/AStarNet/
A*Net: A Scalable Path-based Reasoning Approach for Knowledge Graphs
https://github.com/DeepGraphLearning/RecommenderSystems
Ekar: An Explainable Method for Knowledge Aware Recommendation
https://github.com/DeepGraphLearning/pLogicNet
https://github.com/DevSinghSachan/unsupervised-passage-reranking
End-to-End Training of Neural Retrievers for Open-Domain Question Answering
https://github.com/EkaterinaXie/LiteVAR
Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction
https://github.com/ElectricAlexis/NotaGen
https://github.com/ElementAI/HypE
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.