https://github.com/jenicek/mdir
공식 코드No Fear of the Dark: Image Retrieval under Varying Illumination Conditions
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/jensen-w/retqa
공식 코드RETQA: A Large-Scale Open-Domain Tabular Question Answering Dataset for Real Estate Sector
https://github.com/jensenw1/RETQA
공식 코드RETQA: A Large-Scale Open-Domain Tabular Question Answering Dataset for Real Estate Sector
https://github.com/jeonghun3572/K-COMP
공식 코드K-COMP: Retrieval-Augmented Medical Domain Question Answering With Knowledge-Injected Compressor
https://github.com/jermp/s_indexes
공식 코드https://github.com/jermp/tongrams
공식 코드https://github.com/jerryxu0129/hhf
공식 코드HHF: Hashing-guided Hinge Function for Deep Hashing Retrieval
https://github.com/jerryxu0129/hyp2-loss
공식 코드HyP$^2$ Loss: Beyond Hypersphere Metric Space for Multi-label Image Retrieval
https://github.com/jerryyli/svitt
공식 코드https://github.com/jetbrains-research/ai-agents-code-editing
공식 코드On The Importance of Reasoning for Context Retrieval in Repository-Level Code Editing
https://github.com/jetrunner/laprador
공식 코드LaPraDoR: Unsupervised Pretrained Dense Retriever for Zero-Shot Text Retrieval
https://github.com/jhong93/vpd
공식 코드Video Pose Distillation for Few-Shot, Fine-Grained Sports Action Recognition
https://github.com/jhu-clsp/ettin-encoder-vs-decoder
공식 코드https://github.com/jhyuklee/DensePhrases
공식 코드https://github.com/jhyuklee/sparc
공식 코드Contextualized Sparse Representations for Real-Time Open-Domain Question Answering
https://github.com/jhzab/dist_w2v
공식 코드Asynchronous Training of Word Embeddings for Large Text Corpora
https://github.com/jialei1107/Final
공식 코드Interpretation of multi-label classification models using shapley values
https://github.com/jialinwu17/mavex
공식 코드https://github.com/jian-lang/ragpt
공식 코드Retrieval-Augmented Dynamic Prompt Tuning for Incomplete Multimodal Learning
https://github.com/jiangqn/kster
공식 코드Learning Kernel-Smoothed Machine Translation with Retrieved Examples
https://github.com/jiangqy/DCMH-CVPR2017
공식 코드https://github.com/jianxu95/rallrec
공식 코드https://github.com/jiarui-liu/AutomatedModelCardGeneration
공식 코드Automatic Generation of Model and Data Cards: A Step Towards Responsible AI
https://github.com/jiawangbai/DHTA-master
공식 코드https://github.com/jiez-osu/QQC
공식 코드Adversarial Training for Code Retrieval with Question-Description Relevance Regularization
https://github.com/jifan-chen/fact-checking-via-raw-evidence
공식 코드Complex Claim Verification with Evidence Retrieved in the Wild
https://github.com/jiforcen/co-occurrence
공식 코드Co-occurrence of deep convolutional features for image search
https://github.com/jiho283/kg-gpt
공식 코드KG-GPT: A General Framework for Reasoning on Knowledge Graphs Using Large Language Models
https://github.com/jihoonlee9898/rvcd
공식 코드https://github.com/jihyechoi77/malade
공식 코드https://github.com/jihyukkim-nlp/CollectiveKD
공식 코드https://github.com/jimas95/CMinMax
공식 코드cMinMax: A Fast Algorithm to Find the Corners of an N-dimensional Convex Polytope
https://github.com/jimengshi/hypercube-rag
공식 코드https://github.com/jina-ai/late-chunking
공식 코드Late Chunking: Contextual Chunk Embeddings Using Long-Context Embedding Models
https://github.com/jinfengr/neural-tweet-search
공식 코드Multi-Perspective Relevance Matching with Hierarchical ConvNets for Social Media Search
https://github.com/jinghanzhang1998/ratt
공식 코드RATT: A Thought Structure for Coherent and Correct LLM Reasoning
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.