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Retrieval
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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/seungheondoh/music-text-representation
공식 코드https://github.com/seungheondoh/music-text-representation-pp
공식 코드Enriching Music Descriptions with a Finetuned-LLM and Metadata for Text-to-Music Retrieval
https://github.com/seuretm/diamond-square-fragmentation
공식 코드ICFHR 2020 Competition on Image Retrieval for Historical Handwritten Fragments
https://github.com/seyrankhademi/AmsterTime
공식 코드AmsterTime: A Visual Place Recognition Benchmark Dataset for Severe Domain Shift
https://github.com/sgfin/molecule_ge_coordinated_embeddings
공식 코드https://github.com/sgl-project/sglang
공식 코드SGLang: Efficient Execution of Structured Language Model Programs
https://github.com/sgoel97/neurips-embedding-positional-bias
공식 코드https://github.com/shafieabdi/somalilemmatizer
공식 코드Lexicon and Rule-based Word Lemmatization Approach for the Somali Language
https://github.com/shahineb/aodisaggregation
공식 코드https://github.com/shalev-lifshitz/grambarcodes
공식 코드https://github.com/shangjingbo1226/AutoPhrase
공식 코드https://github.com/shangqing-liu/CCSD-benchmark-for-code-summarization
공식 코드Retrieval-Augmented Generation for Code Summarization via Hybrid GNN
https://github.com/shannonai/knn-ner
공식 코드$k$NN-NER: Named Entity Recognition with Nearest Neighbor Search
https://github.com/shaoncsecu/Bangla_n-gram_Stemmer
공식 코드https://github.com/sharif-ml-lab/GABInsight
공식 코드GABInsight: Exploring Gender-Activity Binding Bias in Vision-Language Models
https://github.com/shark-nlp/openicl
공식 코드https://github.com/shashank140195/Biomedical_QA_Model
공식 코드Top K Relevant Passage Retrieval for Biomedical Question Answering
https://github.com/shawmask/debiasingcongater
공식 코드Effective Controllable Bias Mitigation for Classification and Retrieval using Gate Adapters
https://github.com/shayantalaei/chess
공식 코드https://github.com/shengyuzhang/DeVLBert
공식 코드DeVLBert: Learning Deconfounded Visio-Linguistic Representations
https://github.com/shenwzh3/mk-tod
공식 코드Retrieval-Generation Alignment for End-to-End Task-Oriented Dialogue System
https://github.com/shenzy08/PDO-s3DCNN
공식 코드PDO-s3DCNNs: Partial Differential Operator Based Steerable 3D CNNs
https://github.com/sherlock-coder/corpusbrainplusplus
공식 코드CorpusBrain++: A Continual Generative Pre-Training Framework for Knowledge-Intensive Language Tasks
https://github.com/sherylhyx/gnn_sync
공식 코드Robust Angular Synchronization via Directed Graph Neural Networks
https://github.com/shevkunov/Overlaying-Spaces-and-Practical-Applicability-of-Complex-Geometries
공식 코드https://github.com/shevkunov/overlapping-spaces-for-compact-graph-representations
공식 코드https://github.com/shh1574/multi-modal-dialogue-dataset
공식 코드Constructing Multi-Modal Dialogue Dataset by Replacing Text with Semantically Relevant Images
https://github.com/shi-yupeng/resail-for-sis
공식 코드Retrieval-based Spatially Adaptive Normalization for Semantic Image Synthesis
https://github.com/shihabrashid-ucr/normy
공식 코드NORMY: Non-Uniform History Modeling for Open Retrieval Conversational Question Answering
https://github.com/shihaoshao-gh/superglobal
공식 코드Global Features are All You Need for Image Retrieval and Reranking
https://github.com/shihui2010/mip
공식 코드Everyone's Preference Changes Differently: Weighted Multi-Interest Retrieval Model
https://github.com/shishicode/agot
공식 코드Soft-Prompting with Graph-of-Thought for Multi-modal Representation Learning
https://github.com/shivangibithel/Information-Retrieval-CS6370
공식 코드https://github.com/shivram1987/visiontransformerhashing
공식 코드https://github.com/shiyoung77/ovir-3d
공식 코드OVIR-3D: Open-Vocabulary 3D Instance Retrieval Without Training on 3D Data
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.