https://github.com/bunsenfeng/knowledge_card
공식 코드Knowledge Card: Filling LLMs' Knowledge Gaps with Plug-in Specialized Language Models
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
A methodology that involves selecting relevant data or examples from a large dataset to support tasks like prediction, learning, or inference. It enhances models by providing context or additional information, often used in systems like retrieval-augmented generation or in-context learning.
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
Knowledge Card: Filling LLMs' Knowledge Gaps with Plug-in Specialized Language Models
PathRAG: Pruning Graph-based Retrieval Augmented Generation with Relational Paths
Zero-Shot Everything Sketch-Based Image Retrieval, and in Explainable Style
FG-RAG: Enhancing Query-Focused Summarization with Context-Aware Fine-Grained Graph RAG
RoME: Role-aware Mixture-of-Expert Transformer for Text-to-Video Retrieval
Enriching Local and Global Contexts for Temporal Action Localization
GiantMIDI-Piano: A large-scale MIDI dataset for classical piano music
ImageRef-VL: Enabling Contextual Image Referencing in Vision-Language Models
DEEPAGÉ: Answering Questions in Portuguese about the Brazilian Environment
GLOW : Global Weighted Self-Attention Network for Web Search
Semantic Models for the First-stage Retrieval: A Comprehensive Review
L^2R: Lifelong Learning for First-stage Retrieval with Backward-Compatible Representations
A Large Cross-Modal Video Retrieval Dataset with Reading Comprehension
Enhancing Noise Robustness of Retrieval-Augmented Language Models with Adaptive Adversarial Training
Learning Multi-modal Representations by Watching Hundreds of Surgical Video Lectures
Learning Multi-modal Representations by Watching Hundreds of Surgical Video Lectures
RECOMP: Improving Retrieval-Augmented LMs with Compression and Selective Augmentation
Expertized Caption Auto-Enhancement for Video-Text Retrieval
LightRetriever: A LLM-based Hybrid Retrieval Architecture with 1000x Faster Query Inference
RaP: Redundancy-aware Video-language Pre-training for Text-Video Retrieval
Beyond Benchmarks: Evaluating Embedding Model Similarity for Retrieval Augmented Generation Systems
SSIG: A Visually-Guided Graph Edit Distance for Floor Plan Similarity
A Dense Representation Framework for Lexical and Semantic Matching
An Optimal Algorithm for Finding Champions in Tournament Graphs
Spacerini: Plug-and-play Search Engines with Pyserini and Hugging Face
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.