https://github.com/lezhang7/rearank
공식 코드REARANK: Reasoning Re-ranking Agent via Reinforcement Learning
Papers with Code 아카이브
Retrieval
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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- 평가표
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- 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/lezhang7/retrieval_mugi
공식 코드Exploring the Best Practices of Query Expansion with Large Language Models
https://github.com/lgessler/bert-has-uncommon-sense
공식 코드BERT Has Uncommon Sense: Similarity Ranking for Word Sense BERTology
https://github.com/lgqu/leaprr
공식 코드https://github.com/lhrlab/chatkbqa
공식 코드https://github.com/li-8023/multi-function-face-recognition
공식 코드https://github.com/li-ronghui/FineDance
공식 코드FineDance: A Fine-grained Choreography Dataset for 3D Full Body Dance Generation
https://github.com/li-xirong/coco-cn
공식 코드COCO-CN for Cross-Lingual Image Tagging, Captioning and Retrieval
https://github.com/li-xirong/jingwei
공식 코드Socializing the Semantic Gap: A Comparative Survey on Image Tag Assignment, Refinement and Retrieval
https://github.com/li-xirong/sea
공식 코드SEA: Sentence Encoder Assembly for Video Retrieval by Textual Queries
https://github.com/li-z-q/url
공식 코드URL: Universal Referential Knowledge Linking via Task-instructed Representation Compression
https://github.com/liano3/RAG-fairness
공식 코드The Other Side of the Coin: Exploring Fairness in Retrieval-Augmented Generation
https://github.com/libertfan/tags
공식 코드Negative Sample is Negative in Its Own Way: Tailoring Negative Sentences for Image-Text Retrieval
https://github.com/lightblue-tech/aloftrag
공식 코드ALoFTRAG: Automatic Local Fine Tuning for Retrieval Augmented Generation
https://github.com/lightningtyb/listgr
공식 코드Listwise Generative Retrieval Models via a Sequential Learning Process
https://github.com/lihaitao18375278/THUIR-COLIEE2023
공식 코드THUIR@COLIEE 2023: More Parameters and Legal Knowledge for Legal Case Entailment
https://github.com/lihaoxin2020/summarization-based-document-ids-for-generative-retrieval
공식 코드Summarization-Based Document IDs for Generative Retrieval with Language Models
https://github.com/lijiabei-7/leccr
공식 코드https://github.com/lijiabei-7/rivrl
공식 코드Reading-strategy Inspired Visual Representation Learning for Text-to-Video Retrieval
https://github.com/lijx10/SO-Net
공식 코드https://github.com/likicode/QA-generalize
공식 코드Challenges in Generalization in Open Domain Question Answering
https://github.com/lilidamowang/t2vindexer-generativesearch
공식 코드T2VIndexer: A Generative Video Indexer for Efficient Text-Video Retrieval
https://github.com/lilv98/logicrec
공식 코드https://github.com/limanling/clip-event
공식 코드CLIP-Event: Connecting Text and Images with Event Structures
https://github.com/lin-kayla/subjectivity-sketch-reid
공식 코드Beyond Domain Gap: Exploiting Subjectivity in Sketch-Based Person Retrieval
https://github.com/lindermanlab/S5
공식 코드https://github.com/line/lighthouse
공식 코드https://github.com/linguisticanomalies/pls_retrieval
공식 코드Retrieval augmentation of large language models for lay language generation
https://github.com/linhanz/mderank
공식 코드MDERank: A Masked Document Embedding Rank Approach for Unsupervised Keyphrase Extraction
https://github.com/linjieli222/HERO
공식 코드HERO: Hierarchical Encoder for Video+Language Omni-representation Pre-training
https://github.com/lintool/robust04-analysis
공식 코드https://github.com/linty5/ccbir
공식 코드Enhancing Historical Image Retrieval with Compositional Cues
https://github.com/linweizhedragon/retrieval-augmented-visual-question-answering
공식 코드Retrieval Augmented Visual Question Answering with Outside Knowledge
https://github.com/linxyhaha/generec
공식 코드Generative Recommendation: Towards Next-generation Recommender Paradigm
https://github.com/linyueqian/spiral_dataset
공식 코드SpeechPrune: Context-aware Token Pruning for Speech Information Retrieval
https://github.com/linzhiqiu/visual_gpt_score
공식 코드Revisiting the Role of Language Priors in Vision-Language Models
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.