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Retrieval
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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/rucaibox/uniweb
공식 코드The Web Can Be Your Oyster for Improving Large Language Models
https://github.com/rucaibox/vawi
공식 코드Visually-augmented pretrained language models for NLP tasks without images
https://github.com/ruckbreasoning/cot-ka
공식 코드https://github.com/ruckbreasoning/subgraphretrievalkbqa
공식 코드Subgraph Retrieval Enhanced Model for Multi-hop Knowledge Base Question Answering
https://github.com/rui9812/knowtrace
공식 코드KnowTrace: Bootstrapping Iterative Retrieval-Augmented Generation with Structured Knowledge Tracing
https://github.com/ruizgao/knnmt-meta-optimizer
공식 코드Nearest Neighbor Machine Translation is Meta-Optimizer on Output Projection Layer
https://github.com/rulinshao/retrieval-scaling
공식 코드Scaling Retrieval-Based Language Models with a Trillion-Token Datastore
https://github.com/run-llama/llama_index
공식 코드https://github.com/rusen/CHOP
공식 코드https://github.com/rushilanirudh/GPP
공식 코드Generative Patch Priors for Practical Compressive Image Recovery
https://github.com/ruyue0001/backdoor_dpr
공식 코드Whispers in Grammars: Injecting Covert Backdoors to Compromise Dense Retrieval Systems
https://github.com/ruyue0001/step-by-step-retrieval
공식 코드Reinforcing Compositional Retrieval: Retrieving Step-by-Step for Composing Informative Contexts
https://github.com/rvl-lab-utoronto/video_similarity_search
공식 코드SLIC: Self-Supervised Learning with Iterative Clustering for Human Action Videos
https://github.com/ryanwangzf/biobridge
공식 코드BioBridge: Bridging Biomedical Foundation Models via Knowledge Graphs
https://github.com/ryanwangzf/medclip
공식 코드MedCLIP: Contrastive Learning from Unpaired Medical Images and Text
https://github.com/ryanwangzf/trial2vec
공식 코드Trial2Vec: Zero-Shot Clinical Trial Document Similarity Search using Self-Supervision
https://github.com/ryanwebster90/onestep-extraction
공식 코드A Reproducible Extraction of Training Images from Diffusion Models
https://github.com/ryokamoi/wice
공식 코드https://github.com/ryuichi-sumida/lufy
공식 코드https://github.com/s-nlp/formality
공식 코드Detecting Text Formality: A Study of Text Classification Approaches
https://github.com/s3vqa/s3vqa.github.io
공식 코드Select, Substitute, Search: A New Benchmark for Knowledge-Augmented Visual Question Answering
https://github.com/sabeesh90/MosaicML_Augmentations_Efficient_Deep_Learning_MLDS_2022
공식 코드https://github.com/saccharomycetes/text-based-traffic-understanding
공식 코드https://github.com/sachinpc1993/fair-arguments
공식 코드https://github.com/sadrultoaha/signboard-detection
공식 코드Automatic Signboard Detection and Localization in Densely Populated Developing Cities
https://github.com/saehyung-lee/plugir
공식 코드Interactive Text-to-Image Retrieval with Large Language Models: A Plug-and-Play Approach
https://github.com/sagarverma/FashionRecommendationST-LSTM
공식 코드https://github.com/sageselab/ui-bug-localization-study
공식 코드On Using GUI Interaction Data to Improve Text Retrieval-based Bug Localization
https://github.com/saifulhaq95/indicirsuite
공식 코드IndicIRSuite: Multilingual Dataset and Neural Information Models for Indian Languages
https://github.com/saikeshav/mfl
공식 코드https://github.com/sail-sg/ptp
공식 코드Position-guided Text Prompt for Vision-Language Pre-training
https://github.com/sajadn/Exemplar-VAE
공식 코드Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation
https://github.com/salesforce/DNNC-few-shot-intent
공식 코드Discriminative Nearest Neighbor Few-Shot Intent Detection by Transferring Natural Language Inference
https://github.com/salesforce/alpro
공식 코드Align and Prompt: Video-and-Language Pre-training with Entity Prompts
https://github.com/salesforce/augtriever
공식 코드AugTriever: Unsupervised Dense Retrieval and Domain Adaptation by Scalable Data Augmentation
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