Cover Image

DOGR: Leveraging Document-Oriented Contrastive Learning in Generative Retrieval

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lu, Penghao, Dong, Xin, Zhou, Yuansheng, Cheng, Lei, Yuan, Chuan, Mo, Linjian
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

A Learnable Fully Interacted Two-Tower Model for Pre-Ranking System
by: Xiong, Chao, et al.
Published: (2025)

MI-DPG: Decomposable Parameter Generation Network Based on Mutual Information for Multi-Scenario Recommendation
by: Cheng, Wenzhuo, et al.
Published: (2026)

Alleviating LLM-based Generative Retrieval Hallucination in Alipay Search
by: Shen, Yedan, et al.
Published: (2025)

Category-Oriented Representation Learning for Image to Multi-Modal Retrieval
by: Cheng, Zida, et al.
Published: (2023)

DiffuGR: Generative Document Retrieval with Diffusion Language Models
by: Zhao, Xinpeng, et al.
Published: (2025)

CroSearch-R1: Better Leveraging Cross-lingual Knowledge for Retrieval-Augmented Generation
by: Qi, Rui, et al.
Published: (2026)

Model Editing for New Document Integration in Generative Information Retrieval
by: Zhang, Zhen, et al.
Published: (2026)

mmRAG: A Modular Benchmark for Retrieval-Augmented Generation over Text, Tables, and Knowledge Graphs
by: Xu, Chuan, et al.
Published: (2025)

How to Leverage Personal Textual Knowledge for Personalized Conversational Information Retrieval
by: Mo, Fengran, et al.
Published: (2024)

Generative Retrieval with Semantic Tree-Structured Item Identifiers via Contrastive Learning
by: Si, Zihua, et al.
Published: (2023)

Leveraging Decoder Architectures for Learned Sparse Retrieval
by: Qiao, Jingfen, et al.
Published: (2025)

Leveraging Large Vision-Language Model as User Intent-aware Encoder for Composed Image Retrieval
by: Sun, Zelong, et al.
Published: (2024)

Breaking the Length Barrier: LLM-Enhanced CTR Prediction in Long Textual User Behaviors
by: Geng, Binzong, et al.
Published: (2024)

The Effectiveness of Graph Contrastive Learning on Mathematical Information Retrieval
by: Wang, Pei-Syuan, et al.
Published: (2024)

Leveraging Memory Retrieval to Enhance LLM-based Generative Recommendation
by: Wang, Chengbing, et al.
Published: (2024)

A Distributed Collaborative Retrieval Framework Excelling in All Queries and Corpora based on Zero-shot Rank-Oriented Automatic Evaluation
by: Che, Tian-Yi, et al.
Published: (2024)

Text-Video Retrieval With Global-Local Contrastive Consistency Learning
by: Jing, Xiaolun, et al.
Published: (2026)

Token-Weighted Multi-Target Learning for Generative Recommenders with Curriculum Learning
by: Chiu, Wei-Ning, et al.
Published: (2026)

Retrieval Augmented Generation Evaluation for Health Documents
by: Ceresa, Mario, et al.
Published: (2025)

AttentionRetriever: Attention Layers are Secretly Long Document Retrievers
by: Fu, David Jiahao, et al.
Published: (2026)

PoisonArena: Uncovering Competing Poisoning Attacks in Retrieval-Augmented Generation
by: Chen, Liuji, et al.
Published: (2025)

Leveraging Contrastive Learning for Few-shot Geolocation of Social Posts
by: Li, Menglin, et al.
Published: (2024)

MLLM-Driven Semantic Identifier Generation for Generative Cross-Modal Retrieval
by: Li, Tianyuan, et al.
Published: (2025)

Leveraging Retrieval-Augmented Generation for Persian University Knowledge Retrieval
by: Hemmat, Arshia, et al.
Published: (2024)

Negative Data Mining for Contrastive Learning in Dense Retrieval at IKEA.com
by: Agapaki, Eva, et al.
Published: (2026)

Unifying Graph Convolution and Contrastive Learning in Collaborative Filtering
by: Wu, Yihong, et al.
Published: (2024)

On the Robustness of Generative Information Retrieval Models
by: Liu, Yu-An, et al.
Published: (2024)

DynaRAG: Bridging Static and Dynamic Knowledge in Retrieval-Augmented Generation
by: Liang, Penghao, et al.
Published: (2026)

Optimizing Query Generation for Enhanced Document Retrieval in RAG
by: Koo, Hamin, et al.
Published: (2024)

Optimizing Retrieval Strategies for Financial Question Answering Documents in Retrieval-Augmented Generation Systems
by: Kim, Sejong, et al.
Published: (2025)

Continual Learning for Generative Retrieval over Dynamic Corpora
by: Chen, Jiangui, et al.
Published: (2023)

Data-Efficient Massive Tool Retrieval: A Reinforcement Learning Approach for Query-Tool Alignment with Language Models
by: Zhang, Yuxiang, et al.
Published: (2024)

Optimizing Retrieval for RAG via Reinforcement Learning
by: Zhou, Jiawei, et al.
Published: (2025)

On the Reproducibility of Learned Sparse Retrieval Adaptations for Long Documents
by: Lionis, Emmanouil Georgios, et al.
Published: (2025)

A Generative Framework for Personalized Sticker Retrieval
by: Zhou, Changjiang, et al.
Published: (2025)

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

UniConv: Unifying Retrieval and Response Generation for Large Language Models in Conversations
by: Mo, Fengran, et al.
Published: (2025)

Why These Documents? Explainable Generative Retrieval with Hierarchical Category Paths
by: Lee, Sangam, et al.
Published: (2024)

Enhancing Graph Contrastive Learning with Reliable and Informative Augmentation for Recommendation
by: Zheng, Bowen, et al.
Published: (2024)

Unsupervised Large Language Model Alignment for Information Retrieval via Contrastive Feedback
by: Dong, Qian, et al.
Published: (2023)