https://github.com/amazon-science/synthesizrr
공식 코드SynthesizRR: Generating Diverse Datasets with Retrieval Augmentation
Papers with Code 아카이브
Information Retrieval
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 6
- 평가표
- 33
- 보존된 평가 기록
- 17
Information retrieval is the task of ranking a list of documents or search results in response to a query
<span style="color:grey; opacity: 0.6">( Image credit: sudhanshumittal )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/amazonqa/amazonqa
공식 코드https://github.com/aminbigdeli/empra
공식 코드EMPRA: Embedding Perturbation Rank Attack against Neural Ranking Models
https://github.com/amy-hyunji/routerretriever
공식 코드RouterRetriever: Routing over a Mixture of Expert Embedding Models
https://github.com/anaymehrotra/fairrankingwithnoisyattributes
공식 코드https://github.com/andrebola/icassp2021
공식 코드Melon Playlist Dataset: a public dataset for audio-based playlist generation and music tagging
https://github.com/aniksh/dual_encoder
공식 코드https://github.com/anmoln94/Team_LLM2KB_LM-KBC-2023
공식 코드LLM2KB: Constructing Knowledge Bases using instruction tuned context aware Large Language Models
https://github.com/ant-uni-bremen/sinfony
공식 코드https://github.com/antheamonod/Dilation_invariant_bottleneck
공식 코드Topological Information Retrieval with Dilation-Invariant Bottleneck Comparative Measures
https://github.com/anusfoil/symrep
공식 코드Symbolic Music Representations for Classification Tasks: A Systematic Evaluation
https://github.com/aparna-b/fairrankingrelevance
공식 코드https://github.com/apple/ml-qrecc
공식 코드Open-Domain Question Answering Goes Conversational via Question Rewriting
https://github.com/applied-machine-learning-lab/mill
공식 코드MILL: Mutual Verification with Large Language Models for Zero-Shot Query Expansion
https://github.com/approach0/math-dense-retrievers
공식 코드Evaluating Token-Level and Passage-Level Dense Retrieval Models for Math Information Retrieval
https://github.com/araij/gup
공식 코드https://github.com/arash-shahmansoori/r2cbr3h-sr
공식 코드https://github.com/areejokaili/topic_labelling
공식 코드https://github.com/arezooSarvi/sigir2020-eComWorkshop-LTM-for-product-search
공식 코드A Comparison of Supervised Learning to Match Methods for Product Search
https://github.com/arian-askari/rprs
공식 코드https://github.com/artefactory/abstention-reranker
공식 코드Towards Trustworthy Reranking: A Simple yet Effective Abstention Mechanism
https://github.com/arthur-75/Rational-Retrieval-Acts
공식 코드Rational Retrieval Acts: Leveraging Pragmatic Reasoning to Improve Sparse Retrieval
https://github.com/arthurbra/stm-coref
공식 코드Coreference Resolution in Research Papers from Multiple Domains
https://github.com/arthurcamara/bert-axioms
공식 코드https://github.com/artitw/text2text
공식 코드https://github.com/arusarkabose/covid-19
공식 코드https://github.com/arvind-balaji/debate-cards
공식 코드DebateSum: A large-scale argument mining and summarization dataset
https://github.com/arvinzhuang/dsi-qg
공식 코드https://github.com/asahi417/kex
공식 코드https://github.com/asahi417/lm-question-generation
공식 코드An Empirical Comparison of LM-based Question and Answer Generation Methods
https://github.com/asash/recjpq
공식 코드https://github.com/ashwath92/HybridCite
공식 코드HybridCite: A Hybrid Model for Context-Aware Citation Recommendation
https://github.com/ashwath92/hybridcite2020
공식 코드HybridCite: A Hybrid Model for Context-Aware Citation Recommendation
https://github.com/asifsamir/brain
공식 코드Improved IR-based Bug Localization with Intelligent Relevance Feedback
https://github.com/atapour/rank-over-class
공식 코드Rank over Class: The Untapped Potential of Ranking in Natural Language Processing
https://github.com/augustinlib/hype-why-these-documents
공식 코드Why These Documents? Explainable Generative Retrieval with Hierarchical Category Paths
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.