https://github.com/hecta-uom/m3
공식 코드MedMine: Examining Pre-trained Language Models on Medication Mining
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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.
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
MedMine: Examining Pre-trained Language Models on Medication Mining
DebateKG: Automatic Policy Debate Case Creation with Semantic Knowledge Graphs
Multimodal LLM-Guided Semantic Correction in Text-to-Image Diffusion
Prompting as Probing: Using Language Models for Knowledge Base Construction
TestNUC: Enhancing Test-Time Computing Approaches through Neighboring Unlabeled Data Consistency
Ranking Narrative Query Graphs for Biomedical Document Retrieval (Technical Report)
IMF: Interactive Multimodal Fusion Model for Link Prediction
SqueezeAttention: 2D Management of KV-Cache in LLM Inference via Layer-wise Optimal Budget
DRPruning: Efficient Large Language Model Pruning through Distributionally Robust Optimization
Fine Tuning vs. Retrieval Augmented Generation for Less Popular Knowledge
Tree of Attributes Prompt Learning for Vision-Language Models
Don't Do RAG: When Cache-Augmented Generation is All You Need for Knowledge Tasks
Instruction Multi-Constraint Molecular Generation Using a Teacher-Student Large Language Model
Can LLMs be Good Graph Judge for Knowledge Graph Construction?
PTF-FSR: A Parameter Transmission-Free Federated Sequential Recommender System
LlamaPartialSpoof: An LLM-Driven Fake Speech Dataset Simulating Disinformation Generation
Choices are More Important than Efforts: LLM Enables Efficient Multi-Agent Exploration
Large Language Models Play StarCraft II: Benchmarks and A Chain of Summarization Approach
Historical Ink: 19th Century Latin American Spanish Newspaper Corpus with LLM OCR Correction
Who Should I Engage with At What Time? A Missing Event Aware Temporal Graph Neural Network
LARCH: Large Language Model-based Automatic Readme Creation with Heuristics
A LLM-Based Ranking Method for the Evaluation of Automatic Counter-Narrative Generation
GoLLIE: Annotation Guidelines improve Zero-Shot Information-Extraction
Whisper-LM: Improving ASR Models with Language Models for Low-Resource Languages
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.