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Retrieval
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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- 11
- 보존된 평가 기록
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A methodology that involves selecting relevant data or examples from a large dataset to support tasks like prediction, learning, or inference. It enhances models by providing context or additional information, often used in systems like retrieval-augmented generation or in-context learning.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/rmit-ir/centroid-boost
공식 코드https://github.com/rmitra/PS-Dataset
공식 코드https://github.com/roboflow-ai/roboflow-100-benchmark
공식 코드Roboflow 100: A Rich, Multi-Domain Object Detection Benchmark
https://github.com/roc-ng/var
공식 코드Towards Video Anomaly Retrieval from Video Anomaly Detection: New Benchmarks and Model
https://github.com/rogerferrod/rsicrc
공식 코드Towards a multimodal framework for remote sensing image change retrieval and captioning
https://github.com/rohans0509/clarinet
공식 코드https://github.com/rohit102497/mabnet
공식 코드MABNet: Master Assistant Buddy Network with Hybrid Learning for Image Retrieval
https://github.com/rong-zou/retrieval-robust-to-object-motion-blur
공식 코드https://github.com/rongchengtu1/uhscm
공식 코드https://github.com/rosenberg37/oprf
공식 코드Offline Pseudo Relevance Feedback for Efficient and Effective Single-pass Dense Retrieval
https://github.com/rosewang2008/backtracing
공식 코드https://github.com/rosewang2008/posr
공식 코드Problem-Oriented Segmentation and Retrieval: Case Study on Tutoring Conversations
https://github.com/rosieyuu/wch
공식 코드https://github.com/roudimit/c2kd
공식 코드C2KD: Cross-Lingual Cross-Modal Knowledge Distillation for Multilingual Text-Video Retrieval
https://github.com/rowedenny/MULTR
공식 코드https://github.com/rowitzou/dc-match
공식 코드Divide and Conquer: Text Semantic Matching with Disentangled Keywords and Intents
https://github.com/rowl1ng/structure-aware-vr-sketch-shape-retrieval
공식 코드https://github.com/rozumden/FMODetect
공식 코드https://github.com/rsinghlab/K-Paths
공식 코드K-Paths: Reasoning over Graph Paths for Drug Repurposing and Drug Interaction Prediction
https://github.com/rsinghlab/qzero
공식 코드https://github.com/rsvp-ai/bertserini
공식 코드https://github.com/ruathudo/tfw2v
공식 코드TFW2V: An Enhanced Document Similarity Method for the Morphologically Rich Finnish Language
https://github.com/ruc-ai4math/premise-retrieval
공식 코드Assisting Mathematical Formalization with A Learning-based Premise Retriever
https://github.com/ruc-aimc-lab/laff
공식 코드Lightweight Attentional Feature Fusion: A New Baseline for Text-to-Video Retrieval
https://github.com/ruc-aimc-lab/nt2vr
공식 코드https://github.com/ruc-gsai/yulan-ir
공식 코드RETA-LLM: A Retrieval-Augmented Large Language Model Toolkit
https://github.com/ruc-nlpir/flashrag
공식 코드FlashRAG: A Modular Toolkit for Efficient Retrieval-Augmented Generation Research
https://github.com/ruc-nlpir/genir-survey
공식 코드From Matching to Generation: A Survey on Generative Information Retrieval
https://github.com/ruc-nlpir/llm4ir-survey
공식 코드https://github.com/ruc-nlpir/omnieval
공식 코드OmniEval: An Omnidirectional and Automatic RAG Evaluation Benchmark in Financial Domain
https://github.com/ruc-wjyu/iot-match
공식 코드Explainable Legal Case Matching via Inverse Optimal Transport-based Rationale Extraction
https://github.com/rucaibox/llm-knowledge-boundary
공식 코드Investigating the Factual Knowledge Boundary of Large Language Models with Retrieval Augmentation
https://github.com/rucaibox/r1-searcher-plus
공식 코드R1-Searcher++: Incentivizing the Dynamic Knowledge Acquisition of LLMs via Reinforcement Learning
https://github.com/rucaibox/rear
공식 코드REAR: A Relevance-Aware Retrieval-Augmented Framework for Open-Domain Question Answering
https://github.com/rucaibox/simpledeepsearcher
공식 코드SimpleDeepSearcher: Deep Information Seeking via Web-Powered Reasoning Trajectory Synthesis
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