Retrieval-GRPO: A Multi-Objective Reinforcement Learning Framework for Dense Retrieval in Taobao Search

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Liu, Xingxian, Li, Dongshuai, Wan, Jiahui, Wen, Tao, Ling, Gui, Yan, Yuliang, Lv, Fuyu, Ou, Dan, Tang, Haihong, Zheng, Bo
Format:	Preprint
Published:	2025
Subjects:	Information Retrieval
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Synthetic Data Powers Product Retrieval for Long-tail Knowledge-Intensive Queries in E-commerce Search
by: Ling, Gui, et al.
Published: (2026)

Large Reasoning Embedding Models: Towards Next-Generation Dense Retrieval Paradigm
by: Tang, Jianting, et al.
Published: (2025)

Simple but Efficient: A Multi-Scenario Nearline Retrieval Framework for Recommendation on Taobao
by: Ma, Yingcai, et al.
Published: (2024)

KARMA: Knowledge-Action Regularized Multimodal Alignment for Personalized Search at Taobao
by: Sun, Zhi, et al.
Published: (2026)

Learning to Trust: Dynamic Utilization of Retrieval-Augmented Generation for E-commerce Search Relevance
by: Xu, Tingqiao, et al.
Published: (2025)

Large Language Model based Long-tail Query Rewriting in Taobao Search
by: Peng, Wenjun, et al.
Published: (2023)

LLMs as Sparse Retrievers:A Framework for First-Stage Product Search
by: Song, Hongru, et al.
Published: (2025)

Retrieval-in-the-Chain: Bootstrapping Large Language Models for Generative Retrieval
by: Zhang, Yingchen, et al.
Published: (2025)

Dense Passage Retrieval in Conversational Search
by: Salamah, Ahmed H., et al.
Published: (2025)

LEAPS: An LLM-Empowered Adaptive Plugin in Taobao AI Search
by: Wang, Lei, et al.
Published: (2026)

Beyond Existing Retrievals: Cross-Scenario Incremental Sample Learning Framework
by: Wang, Tao, et al.
Published: (2025)

Joint Model Parameter Scaling and Universal-Domain Data Integration for E-commerce Search Ranking
by: Yu, Liren, et al.
Published: (2026)

Domain-Adaptive Dense Retrieval for Brazilian Legal Search
by: Pereira, Jayr, et al.
Published: (2026)

TaoSR-AGRL: Adaptive Guided Reinforcement Learning Framework for E-commerce Search Relevance
by: Yang, Jianhui, et al.
Published: (2025)

CroPS: Improving Dense Retrieval with Cross-Perspective Positive Samples in Short-Video Search
by: Xie, Ao, et al.
Published: (2025)

Dense Passage Retrieval: Is it Retrieving?
by: Reichman, Benjamin, et al.
Published: (2024)

LSTM-based Selective Dense Text Retrieval Guided by Sparse Lexical Retrieval
by: Yang, Yingrui, et al.
Published: (2025)

Training Dense Retrievers with Multiple Positive Passages
by: Wang, Benben, et al.
Published: (2026)

Early Exit Strategies for Approximate k-NN Search in Dense Retrieval
by: Busolin, Francesco, et al.
Published: (2024)

Does Generative Retrieval Overcome the Limitations of Dense Retrieval?
by: Zhang, Yingchen, et al.
Published: (2025)

Mamba Retriever: Utilizing Mamba for Effective and Efficient Dense Retrieval
by: Zhang, Hanqi, et al.
Published: (2024)

Cohort Retrieval using Dense Passage Retrieval
by: Jadhav, Pranav
Published: (2025)

Generative Retrieval as Multi-Vector Dense Retrieval
by: Wu, Shiguang, et al.
Published: (2024)

A Generative Re-ranking Model for List-level Multi-objective Optimization at Taobao
by: Meng, Yue, et al.
Published: (2025)

TongSearch-QR: Reinforced Query Reasoning for Retrieval
by: Qin, Xubo, et al.
Published: (2025)

Efficient and Effective Retrieval of Dense-Sparse Hybrid Vectors using Graph-based Approximate Nearest Neighbor Search
by: Zhang, Haoyu, et al.
Published: (2024)

Generative Retrieval Overcomes Limitations of Dense Retrieval but Struggles with Identifier Ambiguity
by: Bracher, Adrian, et al.
Published: (2026)

On the Scaling of Robustness and Effectiveness in Dense Retrieval
by: Liu, Yu-An, et al.
Published: (2025)

Domain Adaptation for Dense Retrieval and Conversational Dense Retrieval through Self-Supervision by Meticulous Pseudo-Relevance Labeling
by: Li, Minghan, et al.
Published: (2024)

TriSampler: A Better Negative Sampling Principle for Dense Retrieval
by: Yang, Zhen, et al.
Published: (2024)

QAEA-DR: A Unified Text Augmentation Framework for Dense Retrieval
by: Tan, Hongming, et al.
Published: (2024)

MA-DPR: Manifold-aware Distance Metrics for Dense Passage Retrieval
by: Liu, Yifan, et al.
Published: (2025)

Towards Dynamic Dense Retrieval with Routing Strategy
by: Su, Zhan, et al.
Published: (2026)

DeepRetrieval: Hacking Real Search Engines and Retrievers with Large Language Models via Reinforcement Learning
by: Jiang, Pengcheng, et al.
Published: (2025)

Scaling Laws For Dense Retrieval
by: Fang, Yan, et al.
Published: (2024)

A Representation Sharpening Framework for Zero Shot Dense Retrieval
by: Ashok, Dhananjay, et al.
Published: (2025)

HypRAG: Hyperbolic Dense Retrieval for Retrieval Augmented Generation
by: Madhu, Hiren, et al.
Published: (2026)

Leveraging LLMs for Unsupervised Dense Retriever Ranking
by: Khramtsova, Ekaterina, et al.
Published: (2024)

Boosting Data Utilization for Multilingual Dense Retrieval
by: Huang, Chao, et al.
Published: (2025)

A Simple and Effective Framework for Symmetric Consistent Indexing in Large-Scale Dense Retrieval
by: Wang, Huimu, et al.
Published: (2025)