Information Retrieval
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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/khuangaf/concrete
공식 코드CONCRETE: Improving Cross-lingual Fact-checking with Cross-lingual Retrieval
https://github.com/kid-22/cocktail
공식 코드Cocktail: A Comprehensive Information Retrieval Benchmark with LLM-Generated Documents Integration
https://github.com/kid-22/llm-ir-bias-fairness-survey
공식 코드Bias and Unfairness in Information Retrieval Systems: New Challenges in the LLM Era
https://github.com/kid-22/llm4ir-bias
공식 코드https://github.com/kid-22/source-bias
공식 코드https://github.com/kidist-amde/amharic-ir-benchmarks
공식 코드Optimized Text Embedding Models and Benchmarks for Amharic Passage Retrieval
https://github.com/kidist-amde/ddro
공식 코드Lightweight and Direct Document Relevance Optimization for Generative Information Retrieval
https://github.com/kidist-amde/ddro-direct-document-relevance-optimization
공식 코드Lightweight and Direct Document Relevance Optimization for Generative Information Retrieval
https://github.com/kirk86/ImageRetrieval
공식 코드https://github.com/kkoutini/cpjku_dcase19
공식 코드Receptive-Field Regularized CNNs for Music Classification and Tagging
https://github.com/klarakrieg/grepbiasir
공식 코드Grep-BiasIR: A Dataset for Investigating Gender Representation-Bias in Information Retrieval Results
https://github.com/kmswin1/syntriever
공식 코드Syntriever: How to Train Your Retriever with Synthetic Data from LLMs
https://github.com/knowledge-ukraine/ontochatgpt
공식 코드OntoChatGPT Information System: Ontology-Driven Structured Prompts for ChatGPT Meta-Learning
https://github.com/koustavagoswami/weakly_supervised-cognate_detection
공식 코드https://github.com/kramerlab/4StepFocus
공식 코드https://github.com/krishgoel/hiro
공식 코드https://github.com/kubapok/poleval22
공식 코드Passage Retrieval of Polish Texts Using OKAPI BM25 and an Ensemble of Cross Encoders
https://github.com/kunfang98927/gpt-eval-mir
공식 코드https://github.com/kunimi00/contrastivesslmusicaudio
공식 코드Towards Proper Contrastive Self-supervised Learning Strategies For Music Audio Representation
https://github.com/kurdishblark/kurdishnamedentities
공식 코드A Dataset of Kurdish (Sorani) Named Entities -- An Amendment to Kurdish-BLARK Named Entities
https://github.com/kvt0012/viclevr
공식 코드https://github.com/kwang2049/dapr
공식 코드https://github.com/kwang2049/pytorch-bertflow
공식 코드https://github.com/kwang2049/useb
공식 코드https://github.com/kwang927/information-regularization
공식 코드https://github.com/kyungyunlee/ismir2018-revisiting-svd
공식 코드Revisiting Singing Voice Detection: a Quantitative Review and the Future Outlook
https://github.com/l3cube-pune/MarathiNLP
공식 코드MahaSQuAD: Bridging Linguistic Divides in Marathi Question-Answering
https://github.com/labbeti/aac-metrics
공식 코드https://github.com/lanl/t-elf
공식 코드https://github.com/lattice-zjj/mmctr_code
공식 코드Feature Fusion Revisited: Multimodal CTR Prediction for MMCTR Challenge
https://github.com/lavis-nlp/CoRT
공식 코드https://github.com/lbasyal/llms-text-summarization
공식 코드https://github.com/lcschv/toma
공식 코드https://github.com/ldilab/smr
공식 코드From Token to Action: State Machine Reasoning to Mitigate Overthinking in Information Retrieval
https://github.com/leox1v/query_decoder
공식 코드Decoding a Neural Retriever's Latent Space for Query Suggestion
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.