https://github.com/yanzhaoshi/mepnet
공식 코드MEPNet: Medical Entity-balanced Prompting Network for Brain CT Report Generation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
MEPNet: Medical Entity-balanced Prompting Network for Brain CT Report Generation
Exploring Large Language Models for Knowledge Graph Completion
Collaborative Retrieval for Large Language Model-based Conversational Recommender Systems
Generate-on-Graph: Treat LLM as both Agent and KG in Incomplete Knowledge Graph Question Answering
Query2Triple: Unified Query Encoding for Answering Diverse Complex Queries over Knowledge Graphs
Housekeep: Tidying Virtual Households using Commonsense Reasoning
Mutually Guided Few-shot Learning for Relational Triple Extraction
Enhancing the Geometric Problem-Solving Ability of Multimodal LLMs via Symbolic-Neural Integration
On the Role of Attention Heads in Large Language Model Safety
FiTs: Fine-grained Two-stage Training for Knowledge-aware Question Answering
R^2AG: Incorporating Retrieval Information into Retrieval Augmented Generation
Is Safety Standard Same for Everyone? User-Specific Safety Evaluation of Large Language Models
Spectral Editing of Activations for Large Language Model Alignment
RAVENEA: A Benchmark for Multimodal Retrieval-Augmented Visual Culture Understanding
PDF-WuKong: A Large Multimodal Model for Efficient Long PDF Reading with End-to-End Sparse Sampling
A Survey of Graph Meets Large Language Model: Progress and Future Directions
UniKG: A Benchmark and Universal Embedding for Large-Scale Knowledge Graphs
Adapters for Enhanced Modeling of Multilingual Knowledge and Text
Editable Scene Simulation for Autonomous Driving via Collaborative LLM-Agents
Libra: Building Decoupled Vision System on Large Language Models
Know2BIO: A Comprehensive Dual-View Benchmark for Evolving Biomedical Knowledge Graphs
FinDVer: Explainable Claim Verification over Long and Hybrid-Content Financial Documents
Pipette: Automatic Fine-grained Large Language Model Training Configurator for Real-World Clusters
Inductive Link Prediction on N-ary Relational Facts via Semantic Hypergraph Reasoning
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.