https://github.com/detectivemb/task-arithmetic-for-zs-ir
공식 코드Investigating Task Arithmetic for Zero-Shot Information Retrieval
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/dfdazac/blp
공식 코드Inductive Entity Representations from Text via Link Prediction
https://github.com/dheeraj7596/SCDV
공식 코드SCDV : Sparse Composite Document Vectors using soft clustering over distributional representations
https://github.com/di4ir/dual-score
공식 코드https://github.com/diazf/indri
공식 코드https://github.com/diazf/pref_eval
공식 코드https://github.com/digitalphonetics/conversational-tree-search
공식 코드https://github.com/diku-irlab/A66
공식 코드Evaluation Measures for Relevance and Credibility in Ranked Lists
https://github.com/dinhviettoanle/survey-music-nlp
공식 코드https://github.com/dipteshkanojia/challengeCognateFF
공식 코드Harnessing Cross-lingual Features to Improve Cognate Detection for Low-resource Languages
https://github.com/dipteshkanojia/pr-aaai22-sdu-st1-ae
공식 코드An Ensemble Approach to Acronym Extraction using Transformers
https://github.com/dmis-lab/covidAsk
공식 코드https://github.com/dmis-lab/tour
공식 코드Optimizing Test-Time Query Representations for Dense Retrieval
https://github.com/dogregor/tokengraph
공식 코드https://github.com/dpappas/Data-Augmentation-for-Biomedical-Factoid-Question-Answering
공식 코드https://github.com/dreichCSL/GQA_generalization_splits
공식 코드https://github.com/dwadden/scifact-open
공식 코드SciFact-Open: Towards open-domain scientific claim verification
https://github.com/dzungvpham/raifle
공식 코드https://github.com/easonnie/semanticRetrievalMRS
공식 코드Revealing the Importance of Semantic Retrieval for Machine Reading at Scale
https://github.com/edisonni-hku/diras
공식 코드DIRAS: Efficient LLM Annotation of Document Relevance in Retrieval Augmented Generation
https://github.com/edixiong/artificial-needles
공식 코드https://github.com/edoost/perkey
공식 코드Persian Keyphrase Generation Using Sequence-to-Sequence Models
https://github.com/edouardelasalles/dar
공식 코드Learning Dynamic Author Representations with Temporal Language Models
https://github.com/eduard6421/pqpp
공식 코드PQPP: A Joint Benchmark for Text-to-Image Prompt and Query Performance Prediction
https://github.com/eelcovdw/mono-musicxml-dataset
공식 코드Optical Music Recognition with Convolutional Sequence-to-Sequence Models
https://github.com/eit-nlp/multiconir
공식 코드https://github.com/ekinakyurek/influence
공식 코드Towards Tracing Factual Knowledge in Language Models Back to the Training Data
https://github.com/eldrin/MTLMusicRepresentation-PyTorch
공식 코드https://github.com/elipei88/humberchatbotbackend
공식 코드https://github.com/elki-project/elki
공식 코드ELKI: A large open-source library for data analysis - ELKI Release 0.7.5 "Heidelberg"
https://github.com/elviswxy/Gen-IR_PSPT
공식 코드https://github.com/embeddings-benchmark/mteb
공식 코드https://github.com/empathyang/jir-arena
공식 코드JIR-Arena: The First Benchmark Dataset for Just-in-time Information Recommendation
https://github.com/endrikacupaj/praline
공식 코드Contrastive Representation Learning for Conversational Question Answering over Knowledge Graphs
https://github.com/engelsjo/RaspiReader
공식 코드https://github.com/eoduself/udl
공식 코드Link, Synthesize, Retrieve: Universal Document Linking for Zero-Shot Information Retrieval
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.