https://github.com/zycdev/aiso
공식 코드Adaptive Information Seeking for Open-Domain Question Answering
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/zycdev/lol
공식 코드LoL: A Comparative Regularization Loss over Query Reformulation Losses for Pseudo-Relevance Feedback
https://github.com/zyf0619sjtu/DreamLIP
공식 코드https://github.com/zyj-13/WAL
공식 코드Watch and Learn: Mapping Language and Noisy Real-world Videos with Self-supervision
https://github.com/zyody/QueryQR
공식 코드Query-based Interactive Recommendation by Meta-Path and Adapted Attention-GRU
https://github.com/zytx121/awesome-vlgfm
공식 코드https://github.com/zyyan4/ml-clap
공식 코드https://github.com/zzezze/neighborretr
공식 코드NeighborRetr: Balancing Hub Centrality in Cross-Modal Retrieval
https://github.com/zzz1515151/self-supervised_learning_sketch
공식 코드Deep Self-Supervised Representation Learning for Free-Hand Sketch
https://gitlab.com/OvGU-ESS/SelectScript
공식 코드Reasoning in complex environments with the SelectScript declarative language
https://gitlab.com/bigirqu/ArCOV-19
공식 코드ArCOV-19: The First Arabic COVID-19 Twitter Dataset with Propagation Networks
https://gitlab.com/dgpr-sparse-search/code
공식 코드https://gitlab.com/grounded-sport-convai/goal-baselines
공식 코드Going for GOAL: A Resource for Grounded Football Commentaries
https://gitlab.com/mcoavoux/statement_proof_matching
공식 코드https://gitlab.com/srrg-software/srrg_bench
공식 코드Adding Cues to Binary Feature Descriptors for Visual Place Recognition
https://gitlab.com/srrg-software/srrg_hbst
공식 코드HBST: A Hamming Distance embedding Binary Search Tree for Visual Place Recognition
https://gitlab.com/timperator/which-country-is-this
공식 코드Which Country Is This? Automatic Country Ranking of Street View Photos
https://gitlab.inria.fr/amarmore/musicntd
공식 코드Nonnegative Tucker Decomposition with Beta-divergence for Music Structure Analysis of Audio Signals
https://gitlab.inria.fr/amarmore/nonnegative-factorization
공식 코드Nonnegative Tucker Decomposition with Beta-divergence for Music Structure Analysis of Audio Signals
https://huggingface.co/TownsWu/PEG
공식 코드https://huggingface.co/aminhaeri/risk-embed
공식 코드Generative AI Enhanced Financial Risk Management Information Retrieval
https://huggingface.co/datasets/microsoft/kitab
공식 코드KITAB: Evaluating LLMs on Constraint Satisfaction for Information Retrieval
https://huggingface.co/enalis/scold
공식 코드A Vision-Language Foundation Model for Leaf Disease Identification
https://huggingface.co/microsoft/BiomedCLIP-PubMedBERT_256-vit_base_patch16_224
공식 코드https://huggingface.co/nguyenthanhasia/BERTLaw
공식 코드JNLP Team: Deep Learning for Legal Processing in COLIEE 2020
https://huggingface.co/spaces/EMS-TU-Ilmenau/deepest-demo
공식 코드Grid-free Harmonic Retrieval and Model Order Selection using Deep Convolutional Neural Networks
https://worksheets.codalab.org/worksheets/0x1ad3f387005c492ea913cf0f20c9bb89
공식 코드A Retrieve-and-Edit Framework for Predicting Structured Outputs
https://worksheets.codalab.org/worksheets/0x453913e76b65495d8b9730d41c7e0a0c
공식 코드https://zenodo.org/record/11264676
공식 코드https://github.com/0jason000/wukong
Wukong: A 100 Million Large-scale Chinese Cross-modal Pre-training Benchmark
https://github.com/0xyd/sec2vec
An Information Retrieval Approach to Short Text Conversation
https://github.com/1rsh/raptor-rag
RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval
https://github.com/1sh1vam/E-commerce-products-classification-using-images-and-text
https://github.com/2023-MindSpore-1/ms-code-107
SEMICON: A Learning-to-hash Solution for Large-scale Fine-grained Image Retrieval
https://github.com/2023-MindSpore-1/ms-code-18/tree/main/MCNN
Multimodal Convolutional Neural Networks for Matching Image and Sentence
https://github.com/2023-MindSpore-1/ms-code-210/tree/main/CMT
CMT in TREC-COVID Round 2: Mitigating the Generalization Gaps from Web to Special Domain Search
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.