Papers with Code 아카이브
Information Retrieval
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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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/tira-io/ir-experiment-platform
공식 코드https://github.com/tisage/cybermentor
공식 코드https://github.com/tkipf/relational-gcn
공식 코드https://github.com/tobischimanski/climretrieve
공식 코드ClimRetrieve: A Benchmarking Dataset for Information Retrieval from Corporate Climate Disclosures
https://github.com/tomvek/mips-learnt-ivf
공식 코드A Learning-to-Rank Formulation of Clustering-Based Approximate Nearest Neighbor Search
https://github.com/tonyby/ramqa
공식 코드RAMQA: A Unified Framework for Retrieval-Augmented Multi-Modal Question Answering
https://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/tripdatabase/tripclick
공식 코드TripClick: The Log Files of a Large Health Web Search Engine
https://github.com/tsafavi/cascader
공식 코드CascadER: Cross-Modal Cascading for Knowledge Graph Link Prediction
https://github.com/tsinghua-fib-lab/llm-agent-for-recommendation-and-search
공식 코드https://github.com/tuliochiodi/aircade
공식 코드AIRCADE: an Anechoic and IR Convolution-based Auralization Data-compilation Ensemble
https://github.com/tuskanny/kannolo
공식 코드kANNolo: Sweet and Smooth Approximate k-Nearest Neighbors Search
https://github.com/tvpian/project-tar
공식 코드https://github.com/ucasir/NPRF
공식 코드NPRF: A Neural Pseudo Relevance Feedback Framework for Ad-hoc Information Retrieval
https://github.com/uclaml/vacdb
공식 코드Variance-Aware Regret Bounds for Stochastic Contextual Dueling Bandits
https://github.com/ukp-square/square-core
공식 코드UKP-SQUARE: An Online Platform for Question Answering Research
https://github.com/ukplab/acl2024-dapr
공식 코드https://github.com/ukplab/arxiv2023-dapr
공식 코드https://github.com/ukplab/incorporating-relevance
공식 코드https://github.com/ukplab/peerqa
공식 코드PeerQA: A Scientific Question Answering Dataset from Peer Reviews
https://github.com/ukplab/pytorch-bertflow
공식 코드https://github.com/umanlp/zusammenqa
공식 코드https://github.com/umcu/negation-detection
공식 코드Negation detection in Dutch clinical texts: an evaluation of rule-based and machine learning methods
https://github.com/unicamp-dl/exaranker
공식 코드ExaRanker-Open: Synthetic Explanation for IR using Open-Source LLMs
https://github.com/unicamp-dl/mMARCO
공식 코드mMARCO: A Multilingual Version of the MS MARCO Passage Ranking Dataset
https://github.com/unicamp-dl/neuclir22-mt5
공식 코드NeuralMind-UNICAMP at 2022 TREC NeuCLIR: Large Boring Rerankers for Cross-lingual Retrieval
https://github.com/upstageai/tflop
공식 코드TFLOP: Table Structure Recognition Framework with Layout Pointer Mechanism
https://github.com/uridr/gtwiki
공식 코드A multi-task semi-supervised framework for Text2Graph & Graph2Text
https://github.com/ushasi/CMIR-NET-A-deep-learning-based-model-for-cross-modal-retrieval-in-remote-sensing
공식 코드CMIR-NET : A Deep Learning Based Model For Cross-Modal Retrieval In Remote Sensing
https://github.com/ustc-starteam/genki
공식 코드https://github.com/utahIRlab/AMTurk-Product-Search-Explanation-Evaluation
공식 코드Model-agnostic vs. Model-intrinsic Interpretability for Explainable Product Search
https://github.com/utahIRlab/drem-attention
공식 코드Model-agnostic vs. Model-intrinsic Interpretability for Explainable Product Search
https://github.com/utel-uiuc/gtfs_llm
공식 코드ChatGPT for GTFS: Benchmarking LLMs on GTFS Understanding and Retrieval
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.