https://github.com/curisejia/freestyleret
공식 코드FreestyleRet: Retrieving Images from Style-Diversified Queries
Papers with Code 아카이브
Retrieval
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 3
- 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/curtis-murray/perssupplementarymaterials
공식 코드Probabilistic emotion and sentiment modelling of patient-reported experiences
https://github.com/cuthbertcai/ask-confirm
공식 코드Ask&Confirm: Active Detail Enriching for Cross-Modal Retrieval with Partial Query
https://github.com/cuthbertcai/demovlp
공식 코드Revitalize Region Feature for Democratizing Video-Language Pre-training of Retrieval
https://github.com/cv-lee/financerag
공식 코드Multi-Reranker: Maximizing performance of retrieval-augmented generation in the FinanceRAG challenge
https://github.com/cvangysel/SERT
공식 코드https://github.com/cvangysel/cuNVSM
공식 코드https://github.com/cvdfoundation/google-landmark
공식 코드Two-stage Discriminative Re-ranking for Large-scale Landmark Retrieval
https://github.com/cvjena/ITAL
공식 코드Information-Theoretic Active Learning for Content-Based Image Retrieval
https://github.com/cvjena/aid
공식 코드Automatic Query Image Disambiguation for Content-Based Image Retrieval
https://github.com/cvjena/eu-flood-dataset
공식 코드Enhancing Flood Impact Analysis using Interactive Retrieval of Social Media Images
https://github.com/cvjena/semantic-embeddings
공식 코드Hierarchy-based Image Embeddings for Semantic Image Retrieval
https://github.com/cwitkowitz/guitar-transcription-with-inhibition
공식 코드https://github.com/cwitkowitz/sparse-analytic-filters
공식 코드https://github.com/cwj1412/mscoco-flikcr30k_fg
공식 코드https://github.com/cwszz/xpr
공식 코드https://github.com/cxcscmu/embedding-scope
공식 코드Interpret and Control Dense Retrieval with Sparse Latent Features
https://github.com/cxcscmu/longembeddinganalysis
공식 코드Dwell in the Beginning: How Language Models Embed Long Documents for Dense Retrieval
https://github.com/cxcscmu/ragviz
공식 코드RAGViz: Diagnose and Visualize Retrieval-Augmented Generation
https://github.com/cyberagentailab/ralf
공식 코드Retrieval-Augmented Layout Transformer for Content-Aware Layout Generation
https://github.com/cykustcc/aggregated_wasserstein_hmm
공식 코드A Distance for HMMs based on Aggregated Wasserstein Metric and State Registration
https://github.com/d-zabihzadeh/Adaptive-Adv-DML
공식 코드https://github.com/d3mlab/rir
공식 코드Self-Supervised Contrastive BERT Fine-tuning for Fusion-based Reviewed-Item Retrieval
https://github.com/d3mlab/rir_data
공식 코드Self-Supervised Contrastive BERT Fine-tuning for Fusion-based Reviewed-Item Retrieval
https://github.com/dachengxiaocheng/NDT-Transformer
공식 코드https://github.com/daehuikim/gure
공식 코드https://github.com/dahuilangda/stapep_package
공식 코드https://github.com/dair-iitd/flonet
공식 코드End-to-End Learning of Flowchart Grounded Task-Oriented Dialogs
https://github.com/dair-iitd/fusic-kbqa
공식 코드https://github.com/dair-iitd/retinaqa
공식 코드https://github.com/dakezhang1998/readprobe
공식 코드ReadProbe: A Demo of Retrieval-Enhanced Large Language Models to Support Lateral Reading
https://github.com/dalab/web2text
공식 코드https://github.com/damo-nlp-sg/mvcr
공식 코드Unlocking Temporal Question Answering for Large Language Models with Tailor-Made Reasoning Logic
https://github.com/dangkh/kalm4rec-www
공식 코드Keyword-driven Retrieval-Augmented Large Language Models for Cold-start User Recommendations
https://github.com/dangxingyu/rnn-icrag
공식 코드RNNs are not Transformers (Yet): The Key Bottleneck on In-context Retrieval
https://github.com/daniel-furman/polyglot-or-not
공식 코드Polyglot or Not? Measuring Multilingual Encyclopedic Knowledge in Foundation Models
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.