Papers with Code 아카이브
Information Retrieval
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
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- 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/xiyanghu/multilingualir
공식 코드Language Agnostic Multilingual Information Retrieval with Contrastive Learning
https://github.com/xpmir/cosplade
공식 코드CoSPLADE: Contextualizing SPLADE for Conversational Information Retrieval
https://github.com/xsc1234/genrt
공식 코드List-aware Reranking-Truncation Joint Model for Search and Retrieval-augmented Generation
https://github.com/xsc1234/match-prompt
공식 코드https://github.com/xsc1234/nir-prompt
공식 코드NIR-Prompt: A Multi-task Generalized Neural Information Retrieval Training Framework
https://github.com/xsc1234/search-in-the-chain
공식 코드https://github.com/xuchen0427/fairdiverse
공식 코드FairDiverse: A Comprehensive Toolkit for Fair and Diverse Information Retrieval Algorithms
https://github.com/xuchen0427/implicit_rank_unfairness
공식 코드A Study of Implicit Ranking Unfairness in Large Language Models
https://github.com/xwhan/ProQA
공식 코드Progressively Pretrained Dense Corpus Index for Open-Domain Question Answering
https://github.com/xwt1/icpads-mn-ru
공식 코드https://github.com/xwt1/mn-ru
공식 코드https://github.com/xydaisjtu/AICM
공식 코드An Adversarial Imitation Click Model for Information Retrieval
https://github.com/yago-naga/yago-4.5
공식 코드YAGO 4.5: A Large and Clean Knowledge Base with a Rich Taxonomy
https://github.com/yahoo/YaraParser
공식 코드https://github.com/yangong23/vsenetworkslseh
공식 코드https://github.com/yanran-tang/casegnn
공식 코드CaseGNN: Graph Neural Networks for Legal Case Retrieval with Text-Attributed Graphs
https://github.com/yeongjoonju/mire
공식 코드https://github.com/yeziyi1998/uercm
공식 코드Towards a Better Understanding Human Reading Comprehension with Brain Signals
https://github.com/ygcinar/SmoothI
공식 코드SmoothI: Smooth Rank Indicators for Differentiable IR Metrics
https://github.com/yhoshi3/ralle
공식 코드RaLLe: A Framework for Developing and Evaluating Retrieval-Augmented Large Language Models
https://github.com/yhpeter/awesome-rag-evaluation
공식 코드https://github.com/yibin-lei/csqe
공식 코드https://github.com/yifan-gao/multilingual_keyphrase_generation
공식 코드Retrieval-Augmented Multilingual Keyphrase Generation with Retriever-Generator Iterative Training
https://github.com/yixuantt/poolingandattn
공식 코드Pooling And Attention: What Are Effective Designs For LLM-Based Embedding Models?
https://github.com/ymoslem/adaptive-mt-llm
공식 코드https://github.com/ypapanik/biomedical-slot-filling
공식 코드https://github.com/yqx7150/cm-dm
공식 코드Correlated and Multi-frequency Diffusion Modeling for Highly Under-sampled MRI Reconstruction
https://github.com/yuanbit/FinBERT-QA
공식 코드FinBERT-QA: Financial Question Answering with pre-trained BERT Language Models
https://github.com/yueqicao/Topological_Retrieval
공식 코드Topological Information Retrieval with Dilation-Invariant Bottleneck Comparative Measures
https://github.com/yufenhuang/mosa-music-motion-and-semantic-annotation-dataset
공식 코드MOSA: Music Motion with Semantic Annotation Dataset for Cross-Modal Music Processing
https://github.com/yuh-zha/alignscore
공식 코드AlignScore: Evaluating Factual Consistency with a Unified Alignment Function
https://github.com/yunahjang/itercqr
공식 코드IterCQR: Iterative Conversational Query Reformulation with Retrieval Guidance
https://github.com/yuweicao-uic/xltime
공식 코드XLTime: A Cross-Lingual Knowledge Transfer Framework for Temporal Expression Extraction
https://github.com/yuyq18/steptool
공식 코드StepTool: A Step-grained Reinforcement Learning Framework for Tool Learning in LLMs
https://github.com/yuzhimanhua/cof
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.