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/thunlp/OpenMatch
공식 코드CMT in TREC-COVID Round 2: Mitigating the Generalization Gaps from Web to Special Domain Search
https://github.com/thunlp/OpenNRE
공식 코드OpenNRE: An Open and Extensible Toolkit for Neural Relation Extraction
https://github.com/thunlp/ReInfoSelect
공식 코드https://github.com/thunlp/adaptive-note
공식 코드Retriever-and-Memory: Towards Adaptive Note-Enhanced Retrieval-Augmented Generation
https://github.com/thunlp/clueanchor
공식 코드https://github.com/thunlp/lead
공식 코드Enhancing Legal Case Retrieval via Scaling High-quality Synthetic Query-Candidate Pairs
https://github.com/thunlp/leven
공식 코드https://github.com/thunlp/webcpm
공식 코드WebCPM: Interactive Web Search for Chinese Long-form Question Answering
https://github.com/thusharamanjari/rag_llm_causalitymining
공식 코드Retrieval Augmented Generation based Large Language Models for Causality Mining
https://github.com/tian1327/swat
공식 코드Few-Shot Recognition via Stage-Wise Retrieval-Augmented Finetuning
https://github.com/tiannuo-yang/searchagent-x
공식 코드Demystifying and Enhancing the Efficiency of Large Language Model Based Search Agents
https://github.com/tianyao-aka/rapl
공식 코드Learning Efficient and Generalizable Graph Retriever for Knowledge-Graph Question Answering
https://github.com/tibhannover/iart-semi-pose
공식 코드Semi-supervised Human Pose Estimation in Art-historical Images
https://github.com/tibhannover/mm-locate-news
공식 코드MM-Locate-News: Multimodal Focus Location Estimation in News
https://github.com/tibhannover/mooc_knowledge_gain
공식 코드https://github.com/tibhannover/patentimageclassification
공식 코드Classification of Visualization Types and Perspectives in Patents
https://github.com/tienmt/sparse_bayes_phase_retrieval
공식 코드Optimal sparse phase retrieval via a quasi-Bayesian approach
https://github.com/tiev-tongji/spatio-temporal-seqvpr
공식 코드Learning Sequence Descriptor based on Spatio-Temporal Attention for Visual Place Recognition
https://github.com/tigerchen52/long_tail_kbc
공식 코드https://github.com/tiianhk/label-metric
공식 코드https://github.com/tileb1/cribo
공식 코드CrIBo: Self-Supervised Learning via Cross-Image Object-Level Bootstrapping
https://github.com/timhartill/unseen_questions
공식 코드Teaching Smaller Language Models To Generalise To Unseen Compositional Questions
https://github.com/timkimd/rnntools.jl
공식 코드Trainability, Expressivity and Interpretability in Gated Neural ODEs
https://github.com/timothygebhard/fm4ar
공식 코드Flow Matching for Atmospheric Retrieval of Exoplanets: Where Reliability meets Adaptive Noise Levels
https://github.com/timqqt/fair_text_based_image_retrieval
공식 코드https://github.com/timziemer/goniometerfeature
공식 코드Goniometers are a Powerful Acoustic Feature for Music Information Retrieval Tasks
https://github.com/tingjshen/urllm
공식 코드https://github.com/tingwei-zhang/adv_hub
공식 코드https://github.com/tingyu215/vacnic
공식 코드https://github.com/tinkoff-ai/probabilistic-embeddings
공식 코드https://github.com/tira-io/ir-experiment-platform
공식 코드https://github.com/tisage/cybermentor
공식 코드https://github.com/tjunlp-lab/pckmt
공식 코드Efficient Cluster-Based k-Nearest-Neighbor Machine Translation
https://github.com/tjzvbokbnft/ELITE-Embedding-Less-retrieval-with-Iterative-Text-Exploration
공식 코드ELITE: Embedding-Less retrieval with Iterative Text Exploration
https://github.com/tk-21st/devan
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.