Cover Image

RAD-DPO: Robust Adaptive Denoising Direct Preference Optimization for Generative Retrieval in E-commerce

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chen, Zhiguo, Sun, Guohao, Qiu, Yiming, Yao, Xingzhi, Li, Mingming, Wang, Huimu, Zhang, Yangqi, Wang, Songlin, Xu, Sulong
Format:	Preprint
Published:	2026
Subjects:	Information Retrieval H.3.3
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Towards Efficient and Generalizable Retrieval: Adaptive Semantic Quantization and Residual Knowledge Transfer
by: Wang, Huimu, et al.
Published: (2026)

Optimizing E-commerce Search: Toward a Generalizable and Rank-Consistent Pre-Ranking Model
by: Xu, Enqiang, et al.
Published: (2024)

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

Improving E-commerce Search with Category-Aligned Retrieval
by: Aliev, Rauf
Published: (2025)

Disagreement as Signals: Dual-view Calibration for Sequential Recommendation Denoising
by: Li, Sijia, et al.
Published: (2026)

Doc2Token: Bridging Vocabulary Gap by Predicting Missing Tokens for E-commerce Search
by: Li, Kaihao, et al.
Published: (2024)

Generative Retrieval with Preference Optimization for E-commerce Search
by: Li, Mingming, et al.
Published: (2024)

Information Retrieval for Climate Impact
by: de Rijke, Maarten, et al.
Published: (2025)

Graph-GRPO: Dependency-Aware Credit Assignment for Generative E-commerce Search Relevance
by: Che, Jiarui, et al.
Published: (2026)

Relevance Filtering for Embedding-based Retrieval
by: Rossi, Nicholas, et al.
Published: (2024)

An Intrinsic Framework of Information Retrieval Evaluation Measures
by: Giner, Fernando
Published: (2023)

Enhancing Relevance of Embedding-based Retrieval at Walmart
by: Lin, Juexin, et al.
Published: (2024)

Reverse-Engineering the Retrieval Process in GenIR Models
by: Reusch, Anja, et al.
Published: (2025)

Dynamic Superblock Pruning for Fast Learned Sparse Retrieval
by: Carlson, Parker, et al.
Published: (2025)

A Preference-oriented Diversity Model Based on Mutual-information in Re-ranking for E-commerce Search
by: Wang, Huimu, et al.
Published: (2024)

MIRA: An LLM-Assisted Benchmark for Multi-Category Integrated Retrieval
by: Türkmen, Mehmet Deniz, et al.
Published: (2026)

Light-weight End-to-End Graph Interest Network for CTR Prediction in E-commerce Search
by: Peng, Pipi, et al.
Published: (2024)

Beyond the Geometric Curse: High-Dimensional N-Gram Hashing for Dense Retrieval
by: Sharma, Sangeet
Published: (2026)

ESANS: Effective and Semantic-Aware Negative Sampling for Large-Scale Retrieval Systems
by: Xing, Haibo, et al.
Published: (2025)

Response Quality Assessment for Retrieval-Augmented Generation via Conditional Conformal Factuality
by: Feng, Naihe, et al.
Published: (2025)

CSMF: Cascaded Selective Mask Fine-Tuning for Multi-Objective Embedding-Based Retrieval
by: Deng, Hao, et al.
Published: (2025)

A Voronoi Cell Formulation for Principled Token Pruning in Late-Interaction Retrieval Models
by: Kankanampati, Yash, et al.
Published: (2026)

FIM: Frequency-Aware Multi-View Interest Modeling for Local-Life Service Recommendation
by: Wang, Guoquan, et al.
Published: (2025)

KamerRaad: Enhancing Information Retrieval in Belgian National Politics through Hierarchical Summarization and Conversational Interfaces
by: Rogiers, Alexander, et al.
Published: (2024)

Doc2Query++: Topic-Coverage based Document Expansion and its Application to Dense Retrieval via Dual-Index Fusion
by: Kuo, Tzu-Lin, et al.
Published: (2025)

Lightweight and Direct Document Relevance Optimization for Generative Information Retrieval
by: Mekonnen, Kidist Amde, et al.
Published: (2025)

Comparing the Utility, Preference, and Performance of Course Material Search Functionality and Retrieval-Augmented Generation Large Language Model (RAG-LLM) AI Chatbots in Information-Seeking Tasks
by: Pasquarelli, Leonardo, et al.
Published: (2024)

Where Relevance Emerges: A Layer-Wise Study of Internal Attention for Zero-Shot Re-Ranking
by: Chen, Haodong, et al.
Published: (2026)

Multi-Granularity Distribution Modeling for Video Watch Time Prediction via Exponential-Gaussian Mixture Network
by: Zhao, Xu, et al.
Published: (2025)

From Item-Only to Query-Item: Query-Conditioned Generative Search with QGS in Quark
by: Song, Yanglong, et al.
Published: (2026)

Future Impact Decomposition in Request-level Recommendations
by: Wang, Xiaobei, et al.
Published: (2024)

Diagnosing LLM-based Rerankers in Cold-Start Recommender Systems: Coverage, Exposure and Practical Mitigations
by: Lemdiasova, Ekaterina, et al.
Published: (2026)

Text-like Encoding of Collaborative Information in Large Language Models for Recommendation
by: Zhang, Yang, et al.
Published: (2024)

Value Function Decomposition in Markov Recommendation Process
by: Wang, Xiaobei, et al.
Published: (2025)

CreAgent: Towards Long-Term Evaluation of Recommender System under Platform-Creator Information Asymmetry
by: Ye, Xiaopeng, et al.
Published: (2025)

Online Item Cold-Start Recommendation with Popularity-Aware Meta-Learning
by: Luo, Yunze, et al.
Published: (2024)

Comprehensive List Generation for Multi-Generator Reranking
by: Yang, Hailan, et al.
Published: (2025)

ReCoVR: Closing the Loop in Interactive Composed Video Retrieval
by: Zhang, Bingqing, et al.
Published: (2026)

Calibrated Fusion for Heterogeneous Graph-Vector Retrieval in Multi-Hop QA
by: Bacellar, Andre
Published: (2026)

UniGRec: Unified Generative Recommendation with Soft Identifiers for End-to-End Optimization
by: Li, Jialei, et al.
Published: (2026)