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/tkipf/relational-gcn
공식 코드https://github.com/tobias-opsahl/fact-or-fiction
공식 코드https://github.com/tobideusser/kpi-edgar
공식 코드KPI-EDGAR: A Novel Dataset and Accompanying Metric for Relation Extraction from Financial Documents
https://github.com/tobischimanski/climretrieve
공식 코드ClimRetrieve: A Benchmarking Dataset for Information Retrieval from Corporate Climate Disclosures
https://github.com/tom-tym/apg
공식 코드When Prompt-based Incremental Learning Does Not Meet Strong Pretraining
https://github.com/tomerfr/dynamicallyscaleddeepcca
공식 코드https://github.com/tomhosking/hiro
공식 코드Hierarchical Indexing for Retrieval-Augmented Opinion Summarization
https://github.com/tomiinek/aargh
공식 코드AARGH! End-to-end Retrieval-Generation for Task-Oriented Dialog
https://github.com/tomlimi/entangled_in_scripts
공식 코드https://github.com/tomsawyerhu/lrp4rag
공식 코드https://github.com/toneli/petailor-for-bio-triple-extraction
공식 코드Benchingmaking Large Langage Models in Biomedical Triple Extraction
https://github.com/tongji-kgllm/rag-survey
공식 코드Retrieval-Augmented Generation for Large Language Models: A Survey
https://github.com/tongji-kgllm/u-niah
공식 코드U-NIAH: Unified RAG and LLM Evaluation for Long Context Needle-In-A-Haystack
https://github.com/tongye98/sourcecodesummary
공식 코드Tram: A Token-level Retrieval-augmented Mechanism for Source Code Summarization
https://github.com/tonyby/m3
공식 코드https://github.com/tonyby/ramqa
공식 코드RAMQA: A Unified Framework for Retrieval-Augmented Multi-Modal Question Answering
https://github.com/tonyngjichun/SOLAR
공식 코드https://github.com/tools-only/Evasion-Attack-against-LDA-Model
공식 코드EvaLDA: Efficient Evasion Attacks Towards Latent Dirichlet Allocation
https://github.com/tosingithub/idesk
공식 코드Potential Idiomatic Expression (PIE)-English: Corpus for Classes of Idioms
https://github.com/tosiron/jazznet
공식 코드jazznet: A Dataset of Fundamental Piano Patterns for Music Audio Machine Learning Research
https://github.com/tossowski/keycomp
공식 코드Prompting Large Vision-Language Models for Compositional Reasoning
https://github.com/tossowski/multimodalpromptretrieval
공식 코드Multimodal Prompt Retrieval for Generative Visual Question Answering
https://github.com/tpoisonooo/huixiangdou2
공식 코드https://github.com/trae1oung/dyprag
공식 코드Dynamic Parametric Retrieval Augmented Generation for Test-time Knowledge Enhancement
https://github.com/trailab/gmir
공식 코드Gradient-based Maximally Interfered Retrieval for Domain Incremental 3D Object Detection
https://github.com/transvcl/transvcl
공식 코드TransVCL: Attention-enhanced Video Copy Localization Network with Flexible Supervision
https://github.com/travis-xu/TR-Feedback
공식 코드Enhancing Tool Retrieval with Iterative Feedback from Large Language Models
https://github.com/trec-atomic/atomic
공식 코드AToMiC: An Image/Text Retrieval Test Collection to Support Multimedia Content Creation
https://github.com/treeai-lab/numericbench
공식 코드https://github.com/trent-tangtao/autoview
공식 코드Learning Self-Regularized Adversarial Views for Self-Supervised Vision Transformers
https://github.com/treversec/tale_of_two_perplexities
공식 코드https://github.com/tripdatabase/tripclick
공식 코드TripClick: The Log Files of a Large Health Web Search Engine
https://github.com/tron404/bscthesis
공식 코드Mapping Transformer Leveraged Embeddings for Cross-Lingual Document Representation
https://github.com/trtm/AURC
공식 코드https://github.com/trunpm/pmt-aaai23
공식 코드Efficient End-to-End Video Question Answering with Pyramidal Multimodal Transformer
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.