https://github.com/pinakinathc/fscoco
공식 코드FS-COCO: Towards Understanding of Freehand Sketches of Common Objects in Context
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/pir-pixr/cpir
공식 코드https://github.com/pisa-engine/BMP
공식 코드https://github.com/pisa-engine/constbert
공식 코드https://github.com/pit30m/pit30m
공식 코드Pit30M: A Benchmark for Global Localization in the Age of Self-Driving Cars
https://github.com/pivettamarcos/cord-19_ktool
공식 코드An Information Retrieval and Extraction Tool for Covid-19 Related Papers
https://github.com/pixel-333/MRCMV
공식 코드Deep Music Retrieval for Fine-Grained Videos by Exploiting Cross-Modal-Encoded Voice-Overs
https://github.com/pkargupta/claimspect
공식 코드Beyond True or False: Retrieval-Augmented Hierarchical Analysis of Nuanced Claims
https://github.com/pkasela/desire-me
공식 코드DESIRE-ME: Domain-Enhanced Supervised Information REtrieval using Mixture-of-Experts
https://github.com/pkasela/se-pef
공식 코드https://github.com/pkasela/se-pqa
공식 코드https://github.com/pkeller00/histokernel
공식 코드https://github.com/pkhdipraja/in-context-atlas
공식 코드The Atlas of In-Context Learning: How Attention Heads Shape In-Context Retrieval Augmentation
https://github.com/pku-dair/rag-survey
공식 코드Retrieval-Augmented Generation for AI-Generated Content: A Survey
https://github.com/pku-sds-lab/poqd-icml25
공식 코드POQD: Performance-Oriented Query Decomposer for Multi-vector retrieval
https://github.com/pku-yuangroup/chatlaw
공식 코드https://github.com/pku-yuangroup/languagebind
공식 코드https://github.com/pkunlp-icler/scl-rai
공식 코드https://github.com/pl8787/DeepRank_PyTorch
공식 코드DeepRank: A New Deep Architecture for Relevance Ranking in Information Retrieval
https://github.com/pl8787/Match-Ignition
공식 코드Match-Ignition: Plugging PageRank into Transformer for Long-form Text Matching
https://github.com/pl8787/SetRank
공식 코드SetRank: Learning a Permutation-Invariant Ranking Model for Information Retrieval
https://github.com/pladifes/climate_finance_bench
공식 코드https://github.com/plageon/HtmlRAG
공식 코드HtmlRAG: HTML is Better Than Plain Text for Modeling Retrieved Knowledge in RAG Systems
https://github.com/pleaseconnectwifi/dance
공식 코드Improving Commonsense in Vision-Language Models via Knowledge Graph Riddles
https://github.com/pmc-patients/pmc-patients
공식 코드https://github.com/pmineiro/smoothcb
공식 코드Contextual Bandits with Smooth Regret: Efficient Learning in Continuous Action Spaces
https://github.com/pneague/de-dsi
공식 코드https://github.com/pnnl/expert2
공식 코드https://github.com/poloclub/mememo
공식 코드MeMemo: On-device Retrieval Augmentation for Private and Personalized Text Generation
https://github.com/portnlp/mlongrr
공식 코드Evaluating Multilingual Long-Context Models for Retrieval and Reasoning
https://github.com/pr0pertygpt/propertygpt
공식 코드https://github.com/pranav-ust/cognates
공식 코드Alignment Analysis of Sequential Segmentation of Lexicons to Improve Automatic Cognate Detection
https://github.com/pranavmaneriker/sysml
공식 코드https://github.com/prashantksharma/CaCD
공식 코드https://github.com/prateekchhikara/fire
공식 코드https://github.com/prbonn/descriptor-dr
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.