https://github.com/paullerner/viquae
공식 코드Multimodal Inverse Cloze Task for Knowledge-based Visual Question Answering
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/paulyoussef/coherency
공식 코드The Queen of England is not England's Queen: On the Lack of Factual Coherency in PLMs
https://github.com/pavelsuma/ames
공식 코드AMES: Asymmetric and Memory-Efficient Similarity Estimation for Instance-level Retrieval
https://github.com/pavelsuma/raml
공식 코드Large-to-small Image Resolution Asymmetry in Deep Metric Learning
https://github.com/pbsds/marf
공식 코드https://github.com/pdturney/multislice-projection
공식 코드Empirical Evaluation of Four Tensor Decomposition Algorithms
https://github.com/pdx97/sbi-rag_neurips2024
공식 코드https://github.com/pectinid16/IDHN
공식 코드Improved Deep Hashing with Soft Pairwise Similarity for Multi-label Image Retrieval
https://github.com/pengboci/graphrag-survey
공식 코드https://github.com/pengfei-hu/mtd
공식 코드Multimodal Tree Decoder for Table of Contents Extraction in Document Images
https://github.com/pengfei-luo/ImageScope
공식 코드ImageScope: Unifying Language-Guided Image Retrieval via Large Multimodal Model Collective Reasoning
https://github.com/perceptualai-lab/goal
공식 코드https://github.com/peri044/STT
공식 코드https://github.com/perquisite/drcl
공식 코드Deep Reversible Consistency Learning for Cross-modal Retrieval
https://github.com/perquisite/rshnl
공식 코드Robust Self-Paced Hashing for Cross-Modal Retrieval with Noisy Labels
https://github.com/peterbhase/ExplanationRoles
공식 코드https://github.com/petergriffinjin/heterformer
공식 코드Heterformer: Transformer-based Deep Node Representation Learning on Heterogeneous Text-Rich Networks
https://github.com/petergriffinjin/lmindexer
공식 코드https://github.com/petergriffinjin/search-r1
공식 코드Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning
https://github.com/peterljq/contextual-knowledge-pursuit
공식 코드https://github.com/petrosrapto/pakton
공식 코드PAKTON: A Multi-Agent Framework for Question Answering in Long Legal Agreements
https://github.com/pgcool/Lifelong-Neural-Topic-Modeling
공식 코드https://github.com/pgcool/iDocNADE
공식 코드https://github.com/pgcool/iDocNADEe
공식 코드Document Informed Neural Autoregressive Topic Models with Distributional Prior
https://github.com/pgcool/textTOvec
공식 코드https://github.com/pgcorpus/gutenberg
공식 코드https://github.com/pgcorpus/gutenberg-analysis
공식 코드https://github.com/pgraphrag-benchmark/pgr-llm
공식 코드Personalized Graph-Based Retrieval for Large Language Models
https://github.com/phasetorch/phasetorch
공식 코드https://github.com/phenixace/narrative-framing
공식 코드Conflicts, Villains, Resolutions: Towards models of Narrative Media Framing
https://github.com/phoenixsecularbird/r2f
공식 코드https://github.com/phosseini/SentiPers
공식 코드https://github.com/phycholosogy/rag-privacy
공식 코드The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG)
https://github.com/pidahbus/deepCBIR
공식 코드https://github.com/pierre-jacob/ICCV2019-Horde
공식 코드Metric Learning With HORDE: High-Order Regularizer for Deep Embeddings
https://github.com/pillowsofwind/debateqa
공식 코드DebateQA: Evaluating Question Answering on Debatable Knowledge
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.