Generative Retrieval
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![Generative Retrieval [2304.04171] Learning to Tokenize for Generative Retrieval](https://ar5iv.labs.arxiv.org/html/2304.04171/assets/x1.png)











![Generative Retrieval [논문 리뷰] Hi-Gen: Generative Retrieval For Large-Scale Personalized E ...](https://moonlight-paper-snapshot.s3.ap-northeast-2.amazonaws.com/arxiv/hi-gen-generative-retrieval-for-large-scale-personalized-e-commerce-search-2.png)


![Generative Retrieval [논문 리뷰] A Survey of Generative Information Retrieval](https://moonlight-paper-snapshot.s3.ap-northeast-2.amazonaws.com/arxiv/a-survey-of-generative-information-retrieval-1.png)




![Generative Retrieval [논문 리뷰] SC-Rec: Enhancing Generative Retrieval with Self-Consistent ...](https://moonlight-paper-snapshot.s3.ap-northeast-2.amazonaws.com/arxiv/sc-rec-enhancing-generative-retrieval-with-self-consistent-reranking-for-sequential-recommendation-0.png)




![Generative Retrieval [2309.13375] Generative Retrieval with Semantic Tree-Structured Item ...](https://ar5iv.labs.arxiv.org/html/2309.13375/assets/x1.png)



![Generative Retrieval [논문] Recommender Systems with Generative Retrieval](https://velog.velcdn.com/images/jaegwon-lee/post/ff39c959-426a-4ff9-97e3-f0c610fbbe90/image.png)
![Generative Retrieval [논문 리뷰] Efficient Generative Retrieval for E-commerce Search with ...](https://moonlight-paper-snapshot.s3.ap-northeast-2.amazonaws.com/arxiv/efficient-generative-retrieval-for-e-commerce-search-with-semantic-cluster-ids-and-expert-guided-rl-3.png)

![Generative Retrieval [2204.13596] Generative Multi-hop Retrieval](https://ar5iv.labs.arxiv.org/html/2204.13596/assets/x1.png)

![Generative Retrieval [論文レビュー] Test-Time Scaling Strategies for Generative Retrieval in ...](https://moonlight-paper-snapshot.s3.ap-northeast-2.amazonaws.com/arxiv/test-time-scaling-strategies-for-generative-retrieval-in-multimodal-conversational-recommendations-1.png)










![Generative Retrieval [2402.02418] eXplainable Bayesian Multi-Perspective Generative Retrieval](https://ar5iv.labs.arxiv.org/html/2402.02418/assets/ai620_abs.png)








![Generative Retrieval [2401.10487] Generative Dense Retrieval: Memory Can Be a Burden](https://ar5iv.labs.arxiv.org/html/2401.10487/assets/x1.png)

![Generative Retrieval [2308.03983] SimplyRetrieve: A Private and Lightweight Retrieval ...](https://ar5iv.labs.arxiv.org/html/2308.03983/assets/fig/fig_retrievalcentric.png)



![Generative Retrieval [2503.19868] GENIUS: A Generative Framework for Universal Multimodal Search](https://ar5iv.labs.arxiv.org/html/2503.19868/assets/x1.png)


![Generative Retrieval [논문 리뷰] On Synthetic Data Strategies for Domain-Specific Generative ...](https://moonlight-paper-snapshot.s3.ap-northeast-2.amazonaws.com/arxiv/on-synthetic-data-strategies-for-domain-specific-generative-retrieval-2.png)











![Generative Retrieval [논문 리뷰] Integrating Chain-of-Thought into Generative Retrieval: A ...](https://moonlight-paper-snapshot.s3.ap-northeast-2.amazonaws.com/arxiv/integrating-chain-of-thought-into-generative-retrieval-a-preliminary-study-0.png)
![Generative Retrieval [2412.04746] Diff4Steer: Steerable Diffusion Prior for Generative Music ...](https://ar5iv.labs.arxiv.org/html/2412.04746/assets/x1.png)




![Generative Retrieval [독서] RAG 시스템 구축을 위한 랭체인 실전 가이드(윤성재) : 네이버 블로그](https://www.solulab.com/wp-content/uploads/2024/07/Retrieval-Augmented-Generation-2-1024x569.jpg)

![Generative Retrieval [论文评述] Retrieval-in-the-Chain: Bootstrapping Large Language Models for ...](https://moonlight-paper-snapshot.s3.ap-northeast-2.amazonaws.com/arxiv/retrieval-in-the-chain-bootstrapping-large-language-models-for-generative-retrieval-0.png)



![Generative Retrieval GitHub - RUC-NLPIR/GenIR-Survey: [TOIS 2025] This is the official ...](https://github.com/RUC-NLPIR/GenIR-Survey/raw/main/assets/Overview.png)
![Generative Retrieval [论文评述] ZeroGR: A Generalizable and Scalable Framework for Zero-Shot ...](https://moonlight-paper-snapshot.s3.ap-northeast-2.amazonaws.com/arxiv/zerogr-a-generalizable-and-scalable-framework-for-zero-shot-generative-retrieval-3.png)





![Generative Retrieval [논문 리뷰] Breaking the Hourglass Phenomenon of Residual Quantization ...](https://moonlight-paper-snapshot.s3.ap-northeast-2.amazonaws.com/arxiv/breaking-the-hourglass-phenomenon-of-residual-quantization-enhancing-the-upper-bound-of-generative-retrieval-0.png)





![Generative Retrieval [논문 리뷰] Bootstrapped Pre-training with Dynamic Identifier Prediction ...](https://moonlight-paper-snapshot.s3.ap-northeast-2.amazonaws.com/arxiv/bootstrapped-pre-training-with-dynamic-identifier-prediction-for-generative-retrieval-3.png)




