Information Retrieval
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- 평가표
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- 보존된 평가 기록
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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/crossing-minds/shopping-queries-image-dataset
공식 코드https://github.com/cshaitao/thuir-coliee2023
공식 코드THUIR@COLIEE 2023: More Parameters and Legal Knowledge for Legal Case Entailment
https://github.com/curtis-murray/perssupplementarymaterials
공식 코드Probabilistic emotion and sentiment modelling of patient-reported experiences
https://github.com/cvangysel/cuNVSM
공식 코드https://github.com/cwitkowitz/guitar-transcription-with-inhibition
공식 코드https://github.com/cwitkowitz/sparse-analytic-filters
공식 코드https://github.com/cwj1412/mscoco-flikcr30k_fg
공식 코드https://github.com/czy1999/synthrag
공식 코드An Adaptive Framework for Generating Systematic Explanatory Answer in Online Q&A Platforms
https://github.com/d3mlab/rir
공식 코드Self-Supervised Contrastive BERT Fine-tuning for Fusion-based Reviewed-Item Retrieval
https://github.com/d3mlab/rir_data
공식 코드Self-Supervised Contrastive BERT Fine-tuning for Fusion-based Reviewed-Item Retrieval
https://github.com/daehuikim/gure
공식 코드https://github.com/dai-shen/laiw
공식 코드https://github.com/dalab/web2text
공식 코드https://github.com/daod/inters
공식 코드INTERS: Unlocking the Power of Large Language Models in Search with Instruction Tuning
https://github.com/daqingchong/Q2ID-benchmark-dataset
공식 코드https://github.com/datascienceuibk/arabicaqa
공식 코드ArabicaQA: A Comprehensive Dataset for Arabic Question Answering
https://github.com/datascienceuibk/complextempqa
공식 코드ComplexTempQA: A Large-Scale Dataset for Complex Temporal Question Answering
https://github.com/datascienceuibk/triviahg
공식 코드TriviaHG: A Dataset for Automatic Hint Generation from Factoid Questions
https://github.com/davidmrau/transformer-vs-bm25
공식 코드How Different are Pre-trained Transformers for Text Ranking?
https://github.com/davidoterof/ecir2025
공식 코드Towards Reliable Testing for Multiple Information Retrieval System Comparisons
https://github.com/davidzwz/awesome-deep-research
공식 코드From Web Search towards Agentic Deep Research: Incentivizing Search with Reasoning Agents
https://github.com/davion-liu/awesome-robustness-in-information-retrieval
공식 코드Robust Neural Information Retrieval: An Adversarial and Out-of-distribution Perspective
https://github.com/davion-liu/gr_ood
공식 코드On the Robustness of Generative Information Retrieval Models
https://github.com/dayuyang1999/zeqr
공식 코드ZeQR: Zero-shot Query Reformulation for Conversational Search
https://github.com/dbmi-pitt/bioinf_teachingNLP
공식 코드Introducing Information Retrieval for Biomedical Informatics Students
https://github.com/deba-iitbh/gst-ned
공식 코드Unsupervised Named Entity Disambiguation for Low Resource Domains
https://github.com/declare-lab/exemplary-empathy
공식 코드Exemplars-guided Empathetic Response Generation Controlled by the Elements of Human Communication
https://github.com/deepsoftwareanalytics/race
공식 코드https://github.com/deezer/CrossCulturalMusicGenrePerception
공식 코드Modeling the Music Genre Perception across Language-Bound Cultures
https://github.com/deezer/MultilingualMusicGenreEmbedding
공식 코드Multilingual Music Genre Embeddings for Effective Cross-Lingual Music Item Annotation
https://github.com/deezer/cover_song_detection
공식 코드https://github.com/deezer/nlp4musa_melscribe
공식 코드Harnessing High-Level Song Descriptors towards Natural Language-Based Music Recommendation
https://github.com/deezer/text2playlist-ecir2025
공식 코드Text2Playlist: Generating Personalized Playlists from Text on Deezer
https://github.com/dennlinger/TopicalChange
공식 코드https://github.com/deriq-qian-dong/iii-retriever
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.