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
Large Language Model
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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.