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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/YIKUAN8/Transformers-VQA
공식 코드https://github.com/YZ-Cai/SimGRAG
공식 코드SimGRAG: Leveraging Similar Subgraphs for Knowledge Graphs Driven Retrieval-Augmented Generation
https://github.com/Yale-LILY/FeTaQA
공식 코드https://github.com/YanLiqi/HAF
공식 코드https://github.com/YannisBilly/i_can_listen_but_cannot_read
공식 코드https://github.com/YantaoShen/kpm_rw_person_reid
공식 코드Deep Group-shuffling Random Walk for Person Re-identification
https://github.com/YatinChaudhary/Multi-view-Multi-source-Topic-Modeling
공식 코드Multi-source Neural Topic Modeling in Multi-view Embedding Spaces
https://github.com/YatinChaudhary/NCLM
공식 코드Explainable and Discourse Topic-aware Neural Language Understanding
https://github.com/YatinChaudhary/RDoC_Task
공식 코드https://github.com/YichengDuan/svrllm
공식 코드Enhancing Subsequent Video Retrieval via Vision-Language Models (VLMs)
https://github.com/YingjieHu/POI_Name
공식 코드An empirical study on the names of points of interest and their changes with geographic distance
https://github.com/Yongbinkang/ExpFinder
공식 코드ExpFinder: An Ensemble Expert Finding Model Integrating $N$-gram Vector Space Model and $μ$CO-HITS
https://github.com/YuanXinCherry/Person-reID-Evaluation
공식 코드Re-identification = Retrieval + Verification: Back to Essence and Forward with a New Metric
https://github.com/YubaoZhao/ECG-Chat
공식 코드ECG-Chat: A Large ECG-Language Model for Cardiac Disease Diagnosis
https://github.com/Yushi-Hu/Multilingual-AWE
공식 코드Multilingual Jointly Trained Acoustic and Written Word Embeddings
https://github.com/Yushi-Hu/PromptCap
공식 코드https://github.com/Yusics/bist-parser
공식 코드https://github.com/ZGChung/Mix-of-Granularity
공식 코드Mix-of-Granularity: Optimize the Chunking Granularity for Retrieval-Augmented Generation
https://github.com/ZJU-DAILY/MQA
공식 코드An Interactive Multi-modal Query Answering System with Retrieval-Augmented Large Language Models
https://github.com/ZJULearning/SSG
공식 코드https://github.com/Zaaachary/CSQA-UFO
공식 코드UFO: Unified Fact Obtaining for Commonsense Question Answering
https://github.com/ZainNasrullah/music-artist-classification-crnn
공식 코드Music Artist Classification with Convolutional Recurrent Neural Networks
https://github.com/ZelongZeng/PLCD
공식 코드Geo-Localization via Ground-to-Satellite Cross-View Image Retrieval
https://github.com/ZhanYang-nwpu/PE-RSITR
공식 코드Parameter-Efficient Transfer Learning for Remote Sensing Image-Text Retrieval
https://github.com/Zhaoxiangyun/Multi-Task-Modulation-Module
공식 코드A Modulation Module for Multi-task Learning with Applications in Image Retrieval
https://github.com/Zhihan72/TCELongBench
공식 코드https://github.com/ZhishanQ/UniHGKR
공식 코드UniHGKR: Unified Instruction-aware Heterogeneous Knowledge Retrievers
https://github.com/Zhiyu-Chen/Web-Table-Retrieval-Benchmark
공식 코드https://github.com/ZiChao111/FTI4CIR
공식 코드Fine-grained Textual Inversion Network for Zero-Shot Composed Image Retrieval
https://github.com/ZihaoWang-CV/CAMP_iccv19
공식 코드CAMP: Cross-Modal Adaptive Message Passing for Text-Image Retrieval
https://github.com/Zoky-2020/Set-level_Guidance_Attack
공식 코드https://github.com/Zyphra/TemporalMemoryDataset
공식 코드Toward Conversational Agents with Context and Time Sensitive Long-term Memory
https://github.com/aa200647963/sgg-dhl
공식 코드Dual-branch Hybrid Learning Network for Unbiased Scene Graph Generation
https://github.com/aaa-zheng/listwise_itr
공식 코드Integrating Listwise Ranking into Pairwise-based Image-Text Retrieval
https://github.com/aalto-speech/FinChat
공식 코드FinChat: Corpus and evaluation setup for Finnish chat conversations on everyday topics
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.