Papers with Code 아카이브
Retrieval
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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- 평가표
- 11
- 보존된 평가 기록
- 19
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.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/aaronli43/grappi
공식 코드https://github.com/abachaa/3d-mir
공식 코드3D-MIR: A Benchmark and Empirical Study on 3D Medical Image Retrieval in Radiology
https://github.com/abachaa/LiveQA_MedicalTask_TREC2017
공식 코드https://github.com/abachaa/MedQuAD
공식 코드https://github.com/abdoelsayed2016/grg
공식 코드Generator-Retriever-Generator Approach for Open-Domain Question Answering
https://github.com/abdulazizasz/fairness_sentiment
공식 코드Balancing Fairness and Accuracy in Sentiment Detection using Multiple Black Box Models
https://github.com/abenbihi/wasabi
공식 코드Image-Based Place Recognition on Bucolic Environment Across Seasons From Semantic Edge Description
https://github.com/abhijeet3922/vision-RAG
공식 코드https://github.com/abhrac/data-free-sbir
공식 코드https://github.com/abhrac/xmodal-vit
공식 코드Cross-Modal Fusion Distillation for Fine-Grained Sketch-Based Image Retrieval
https://github.com/abin333/logonet
공식 코드LogoNet: a fine-grained network for instance-level logo sketch retrieval
https://github.com/acharkq/molca
공식 코드MolCA: Molecular Graph-Language Modeling with Cross-Modal Projector and Uni-Modal Adapter
https://github.com/acharkq/prott3
공식 코드ProtT3: Protein-to-Text Generation for Text-based Protein Understanding
https://github.com/acherstyx/autotransition
공식 코드AutoTransition: Learning to Recommend Video Transition Effects
https://github.com/achouhan93/lexdrafter
공식 코드LexDrafter: Terminology Drafting for Legislative Documents using Retrieval Augmented Generation
https://github.com/acids-ircam/lottery_mir
공식 코드https://github.com/adamasstokhorst/holographic
공식 코드https://github.com/adap/flower
공식 코드https://github.com/adelwang/migres
공식 코드https://github.com/adimesika1/CloudWalker
공식 코드https://github.com/adithya7/hybrid-rag
공식 코드Estimating Optimal Context Length for Hybrid Retrieval-augmented Multi-document Summarization
https://github.com/adithya7/scaling-mds
공식 코드Scaling Multi-Document Event Summarization: Evaluating Compression vs. Full-Text Approaches
https://github.com/adityak6798/Transformers-For-Negation-and-Speculation
공식 코드Resolving the Scope of Speculation and Negation using Transformer-Based Architectures
https://github.com/adlnlp/attention_vl
공식 코드https://github.com/adlnlp/form_nlu
공식 코드Form-NLU: Dataset for the Form Natural Language Understanding
https://github.com/adobe-research/Cross-lingual-Test-Dataset-XTD10
공식 코드https://github.com/adobe-research/polar-vl
공식 코드Improving Personalized Search with Regularized Low-Rank Parameter Updates
https://github.com/adrianofragomeni/contra
공식 코드ConTra: (Con)text (Tra)nsformer for Cross-Modal Video Retrieval
https://github.com/ads-ai/tagrec_plus_plus_tkde
공식 코드TagRec++: Hierarchical Label Aware Attention Network for Question Categorization
https://github.com/adxcreative/EERCF
공식 코드https://github.com/aebtehaj/diego
공식 코드https://github.com/aebtehaj/ftcencoder
공식 코드An Autoencoder Architecture for L-band Passive Microwave Retrieval of Landscape Freeze-Thaw Cycle
https://github.com/afperezm/acoustic-images-distillation
공식 코드https://github.com/aframires/drum-loop-synthesis
공식 코드LoopNet: Musical Loop Synthesis Conditioned On Intuitive Musical Parameters
https://github.com/ag-gipp/FormulaCloudData
공식 코드Discovering Mathematical Objects of Interest -- A Study of Mathematical Notations
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.