https://github.com/kidist-amde/ddro-direct-document-relevance-optimization
공식 코드Lightweight and Direct Document Relevance Optimization for Generative Information Retrieval
Papers with Code 아카이브
Retrieval
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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- 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/kilian-group/phantom-wiki
공식 코드PhantomWiki: On-Demand Datasets for Reasoning and Retrieval Evaluation
https://github.com/kimdanny/fair-rag
공식 코드Towards Fair RAG: On the Impact of Fair Ranking in Retrieval-Augmented Generation
https://github.com/kimdanny/human-tot-query-elicitation-mturk
공식 코드Tip of the Tongue Query Elicitation for Simulated Evaluation
https://github.com/kimdanny/llm-tot-query-elicitation
공식 코드Tip of the Tongue Query Elicitation for Simulated Evaluation
https://github.com/kinit-sk/multiclaim
공식 코드https://github.com/kirk86/ImageRetrieval
공식 코드https://github.com/kkoutini/cpjku_dcase19
공식 코드Receptive-Field Regularized CNNs for Music Classification and Tagging
https://github.com/kkskp/re-rag
공식 코드https://github.com/kkzhang95/awesome-composed-multi-modal-retrieval
공식 코드Composed Multi-modal Retrieval: A Survey of Approaches and Applications
https://github.com/klarakrieg/grepbiasir
공식 코드Grep-BiasIR: A Dataset for Investigating Gender Representation-Bias in Information Retrieval Results
https://github.com/klauscc/vindlu
공식 코드VindLU: A Recipe for Effective Video-and-Language Pretraining
https://github.com/klemens-floege/oneprot
공식 코드https://github.com/klory/cross-modal-coherence-for-text-to-image-retrieval
공식 코드https://github.com/kmaag/ood-tracking
공식 코드Two Video Data Sets for Tracking and Retrieval of Out of Distribution Objects
https://github.com/kmswin1/qpaug
공식 코드QPaug: Question and Passage Augmentation for Open-Domain Question Answering of LLMs
https://github.com/knightyxp/dgl
공식 코드DGL: Dynamic Global-Local Prompt Tuning for Text-Video Retrieval
https://github.com/knoriy/CLARA
공식 코드CLARA: Multilingual Contrastive Learning for Audio Representation Acquisition
https://github.com/knowledge-ukraine/ontochatgpt
공식 코드OntoChatGPT Information System: Ontology-Driven Structured Prompts for ChatGPT Meta-Learning
https://github.com/kobayashikanna01/chain-of-discussion
공식 코드Chain-of-Discussion: A Multi-Model Framework for Complex Evidence-Based Question Answering
https://github.com/kohjingyu/fromage
공식 코드Grounding Language Models to Images for Multimodal Inputs and Outputs
https://github.com/kohjingyu/gill
공식 코드https://github.com/koninik/wordstylist
공식 코드WordStylist: Styled Verbatim Handwritten Text Generation with Latent Diffusion Models
https://github.com/kookeej/coral
공식 코드Empowering Retrieval-based Conversational Recommendation with Contrasting User Preferences
https://github.com/kounianhuadu/pet
공식 코드Learning Enhanced Representations for Tabular Data via Neighborhood Propagation
https://github.com/krafton-ai/mambaformer-icl
공식 코드Can Mamba Learn How to Learn? A Comparative Study on In-Context Learning Tasks
https://github.com/kregmi/cross-view-image-matching
공식 코드https://github.com/krishgoel/hiro
공식 코드https://github.com/kristijanarmeni/verbatim-memory-in-nlms
공식 코드Characterizing Verbatim Short-Term Memory in Neural Language Models
https://github.com/kristijanbartol/hpatches-benchmark
공식 코드On the Comparison of Classic and Deep Keypoint Detector and Descriptor Methods
https://github.com/kristijanbartol/keypoint-algorithms-benchmark
공식 코드On the Comparison of Classic and Deep Keypoint Detector and Descriptor Methods
https://github.com/krudra/qadocrank
공식 코드An In-depth Analysis of Passage-Level Label Transfer for Contextual Document Ranking
https://github.com/krystalan/RAGtrans
공식 코드Retrieval-Augmented Machine Translation with Unstructured Knowledge
https://github.com/kuanghuei/SCAN
공식 코드https://github.com/kubapok/poleval22
공식 코드Passage Retrieval of Polish Texts Using OKAPI BM25 and an Ensemble of Cross Encoders
https://github.com/kunimi00/ZSL_music_tagging
공식 코드Zero-shot Learning for Audio-based Music Classification and Tagging
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.