https://github.com/gaosx2000/sg_kbqa
공식 코드Beyond Seen Data: Improving KBQA Generalization Through Schema-Guided Logical Form Generation
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/gariscat/loopy
공식 코드LooPy: A Research-Friendly Mix Framework for Music Information Retrieval on Electronic Dance Music
https://github.com/garyjiajia/ofv2_icl_vqa
공식 코드How to Configure Good In-Context Sequence for Visual Question Answering
https://github.com/gasolsun36/dynamicrag
공식 코드https://github.com/gbarbarani/MorseDet
공식 코드Scale-Free Image Keypoints Using Differentiable Persistent Homology
https://github.com/gbarbarani/re-ranking-for-vpr
공식 코드Are Local Features All You Need for Cross-Domain Visual Place Recognition?
https://github.com/gbc8181/TISLF
공식 코드https://github.com/gchrupala/symbolic-bias
공식 코드Symbolic inductive bias for visually grounded learning of spoken language
https://github.com/geek-ai/irgan
공식 코드IRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval Models
https://github.com/geekjuruo/beer2
공식 코드Bidirectional End-to-End Learning of Retriever-Reader Paradigm for Entity Linking
https://github.com/geekjuruo/gapa
공식 코드Automatic Context Pattern Generation for Entity Set Expansion
https://github.com/generative-intelligence-lab/modelverse
공식 코드https://github.com/gengchenmai/arcgis-online-search-engine
공식 코드Semantically-Enriched Search Engine for Geoportals: A Case Study with ArcGIS Online
https://github.com/gengyuanmax/mevtr
공식 코드https://github.com/genjib/avsiam
공식 코드Siamese Vision Transformers are Scalable Audio-visual Learners
https://github.com/gentaiscool/miners
공식 코드https://github.com/geoai-lab/EUPEG
공식 코드https://github.com/georgeretsi/segfreekws
공식 코드https://github.com/georgetown-ir-lab/ladr
공식 코드https://github.com/georgiarg/autofashion
공식 코드Automatic Generation of Fashion Images using Prompting in Generative Machine Learning Models
https://github.com/gerhardgossen/archive-recrawling
공식 코드Extracting Event-Centric Document Collections from Large-Scale Web Archives
https://github.com/getalp/mass-dataset
공식 코드https://github.com/getalp/wikIR
공식 코드https://github.com/getnexar/Nexar-Visual-Localization
공식 코드https://github.com/getzep/graphiti
공식 코드Zep: A Temporal Knowledge Graph Architecture for Agent Memory
https://github.com/gewelsji/mvlt
공식 코드https://github.com/gewu-lab/cross-modal-distillation
공식 코드Robust Cross-Modal Knowledge Distillation for Unconstrained Videos
https://github.com/ghanning/gcsa
공식 코드https://github.com/ghrua/ccpr_release
공식 코드https://github.com/ghupppp/memorysharingllm
공식 코드https://github.com/giacbrd/CipCipPy
공식 코드On the Impact of Entity Linking in Microblog Real-Time Filtering
https://github.com/giannisdaras/ilo
공식 코드Optimizing Intermediate Representations of Generative Models for Phase Retrieval
https://github.com/gimpong/AAAI21-WSDHQ
공식 코드Weakly Supervised Deep Hyperspherical Quantization for Image Retrieval
https://github.com/gimpong/AAAI22-MeCoQ
공식 코드Contrastive Quantization with Code Memory for Unsupervised Image Retrieval
https://github.com/gimpong/WWW22-HCQ
공식 코드Hybrid Contrastive Quantization for Efficient Cross-View Video Retrieval
https://github.com/giorgospeikos/aspire
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.