Cover Image

ZeroGR: A Generalizable and Scalable Framework for Zero-Shot Generative Retrieval

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Sun, Weiwei, Kong, Keyi, Ma, Xinyu, Wang, Shuaiqiang, Yin, Dawei, de Rijke, Maarten, Ren, Zhaochun, Yang, Yiming
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

Replication and Exploration of Generative Retrieval over Dynamic Corpora
by: Zhang, Zhen, et al.
Published: (2025)

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

Direct Retrieval-augmented Optimization: Synergizing Knowledge Selection and Language Models
by: Shi, Zhengliang, et al.
Published: (2025)

A Cooperative Multi-Agent Framework for Zero-Shot Named Entity Recognition
by: Wang, Zihan, et al.
Published: (2025)

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

Information Discovery in e-Commerce
by: Ren, Zhaochun, et al.
Published: (2024)

Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents
by: Sun, Weiwei, et al.
Published: (2023)

Cold-Starts in Generative Recommendation: A Reproducibility Study
by: Zhang, Zhen, et al.
Published: (2026)

Improving Retrieval-Augmented Generation through Multi-Agent Reinforcement Learning
by: Chen, Yiqun, et al.
Published: (2025)

MAIR: A Massive Benchmark for Evaluating Instructed Retrieval
by: Sun, Weiwei, et al.
Published: (2024)

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

Constrained Auto-Regressive Decoding Constrains Generative Retrieval
by: Wu, Shiguang, et al.
Published: (2025)

Retrieval Models Aren't Tool-Savvy: Benchmarking Tool Retrieval for Large Language Models
by: Shi, Zhengliang, et al.
Published: (2025)

Knowledge Graph Retrieval-Augmented Generation for LLM-based Recommendation
by: Wang, Shijie, et al.
Published: (2025)

ExcluIR: Exclusionary Neural Information Retrieval
by: Zhang, Wenhao, et al.
Published: (2024)

Generative Retrieval for Book search
by: Tang, Yubao, et al.
Published: (2025)

MILL: Mutual Verification with Large Language Models for Zero-Shot Query Expansion
by: Jia, Pengyue, et al.
Published: (2023)

SDR-CIR: Semantic Debias Retrieval Framework for Training-Free Zero-Shot Composed Image Retrieval
by: Sun, Yi, et al.
Published: (2026)

Generate-then-Ground in Retrieval-Augmented Generation for Multi-hop Question Answering
by: Shi, Zhengliang, et al.
Published: (2024)

Cognitive Biases in Large Language Models for News Recommendation
by: Lyu, Yougang, et al.
Published: (2024)

Thinking Forward and Backward: Multi-Objective Reinforcement Learning for Retrieval-Augmented Reasoning
by: Wei, Wenda, et al.
Published: (2025)

Towards Two-Stage Counterfactual Learning to Rank
by: Gupta, Shashank, et al.
Published: (2025)

Multi-Step Semantic Reasoning in Generative Retrieval
by: Dong, Steven, et al.
Published: (2026)

Retrieval Augmented Zero-Shot Text Classification
by: Abdullahi, Tassallah, et al.
Published: (2024)

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

Zero-Shot Retrieval for Scalable Visual Search in a Two-Sided Marketplace
by: Rusli, Andre, et al.
Published: (2025)

DeepShop: A Benchmark for Deep Research Shopping Agents
by: Lyu, Yougang, et al.
Published: (2025)

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

Robust Information Retrieval
by: Liu, Yu-An, et al.
Published: (2024)

I^3 Retriever: Incorporating Implicit Interaction in Pre-trained Language Models for Passage Retrieval
by: Dong, Qian, et al.
Published: (2023)

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

PromptReps: Prompting Large Language Models to Generate Dense and Sparse Representations for Zero-Shot Document Retrieval
by: Zhuang, Shengyao, et al.
Published: (2024)

Generative Retrieval Meets Multi-Graded Relevance
by: Tang, Yubao, et al.
Published: (2024)

LLM-based Listwise Reranking under the Effect of Positional Bias
by: Qiao, Jingfen, et al.
Published: (2026)

Bootstrapped Pre-training with Dynamic Identifier Prediction for Generative Retrieval
by: Tang, Yubao, et al.
Published: (2024)

VideoRAG: Retrieval-Augmented Generation with Extreme Long-Context Videos
by: Ren, Xubin, et al.
Published: (2025)

Listwise Generative Retrieval Models via a Sequential Learning Process
by: Tang, Yubao, et al.
Published: (2024)

MAO-ARAG: Multi-Agent Orchestration for Adaptive Retrieval-Augmented Generation
by: Chen, Yiqun, et al.
Published: (2025)

Controlled Retrieval-augmented Context Evaluation for Long-form RAG
by: Ju, Jia-Huei, et al.
Published: (2025)

Answer Retrieval in Legal Community Question Answering
by: Askari, Arian, et al.
Published: (2024)