Replication and Exploration of Generative Retrieval over Dynamic Corpora
Fuente:
arXiv
Saved in:
| Main Authors: | Zhang, Zhen, Ma, Xinyu, Sun, Weiwei, Ren, Pengjie, Chen, Zhumin, Wang, Shuaiqiang, Yin, Dawei, de Rijke, Maarten, Ren, Zhaochun |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Model Editing for New Document Integration in Generative Information Retrieval
by: Zhang, Zhen, et al.
Published: (2026)
by: Zhang, Zhen, et al.
Published: (2026)
ZeroGR: A Generalizable and Scalable Framework for Zero-Shot Generative Retrieval
by: Sun, Weiwei, et al.
Published: (2025)
by: Sun, Weiwei, et al.
Published: (2025)
Direct Retrieval-augmented Optimization: Synergizing Knowledge Selection and Language Models
by: Shi, Zhengliang, et al.
Published: (2025)
by: Shi, Zhengliang, et al.
Published: (2025)
Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents
by: Sun, Weiwei, et al.
Published: (2023)
by: Sun, Weiwei, et al.
Published: (2023)
Generative Retrieval as Multi-Vector Dense Retrieval
by: Wu, Shiguang, et al.
Published: (2024)
by: Wu, Shiguang, et al.
Published: (2024)
Constrained Auto-Regressive Decoding Constrains Generative Retrieval
by: Wu, Shiguang, et al.
Published: (2025)
by: Wu, Shiguang, et al.
Published: (2025)
Generate-then-Ground in Retrieval-Augmented Generation for Multi-hop Question Answering
by: Shi, Zhengliang, et al.
Published: (2024)
by: Shi, Zhengliang, et al.
Published: (2024)
ExcluIR: Exclusionary Neural Information Retrieval
by: Zhang, Wenhao, et al.
Published: (2024)
by: Zhang, Wenhao, et al.
Published: (2024)
Continual Learning for Generative Retrieval over Dynamic Corpora
by: Chen, Jiangui, et al.
Published: (2023)
by: Chen, Jiangui, et al.
Published: (2023)
Information Discovery in e-Commerce
by: Ren, Zhaochun, et al.
Published: (2024)
by: Ren, Zhaochun, et al.
Published: (2024)
Retrieval Models Aren't Tool-Savvy: Benchmarking Tool Retrieval for Large Language Models
by: Shi, Zhengliang, et al.
Published: (2025)
by: Shi, Zhengliang, et al.
Published: (2025)
Cold-Starts in Generative Recommendation: A Reproducibility Study
by: Zhang, Zhen, et al.
Published: (2026)
by: Zhang, Zhen, et al.
Published: (2026)
Curriculum Approximate Unlearning for Session-based Recommendation
by: Yang, Liu, et al.
Published: (2025)
by: Yang, Liu, et al.
Published: (2025)
Improving Sequential Recommenders through Counterfactual Augmentation of System Exposure
by: Zhao, Ziqi, et al.
Published: (2025)
by: Zhao, Ziqi, et al.
Published: (2025)
Generative News Recommendation
by: Gao, Shen, et al.
Published: (2024)
by: Gao, Shen, et al.
Published: (2024)
A Cooperative Multi-Agent Framework for Zero-Shot Named Entity Recognition
by: Wang, Zihan, et al.
Published: (2025)
by: Wang, Zihan, et al.
Published: (2025)
DiffuGR: Generative Document Retrieval with Diffusion Language Models
by: Zhao, Xinpeng, et al.
Published: (2025)
by: Zhao, Xinpeng, et al.
Published: (2025)
Integrating Chain-of-Thought into Generative Retrieval: A Preliminary Study
by: Zhang, Wenhao, et al.
Published: (2026)
by: Zhang, Wenhao, et al.
Published: (2026)
MAIR: A Massive Benchmark for Evaluating Instructed Retrieval
by: Sun, Weiwei, et al.
Published: (2024)
by: Sun, Weiwei, et al.
Published: (2024)
Content-Based Collaborative Generation for Recommender Systems
by: Wang, Yidan, et al.
Published: (2024)
by: Wang, Yidan, et al.
Published: (2024)
Cognitive Biases in Large Language Models for News Recommendation
by: Lyu, Yougang, et al.
Published: (2024)
by: Lyu, Yougang, et al.
Published: (2024)
Improving Retrieval-Augmented Generation through Multi-Agent Reinforcement Learning
by: Chen, Yiqun, et al.
Published: (2025)
by: Chen, Yiqun, et al.
Published: (2025)
Knowledge Graph Retrieval-Augmented Generation for LLM-based Recommendation
by: Wang, Shijie, et al.
Published: (2025)
by: Wang, Shijie, et al.
Published: (2025)
Uncovering Selective State Space Model's Capabilities in Lifelong Sequential Recommendation
by: Yang, Jiyuan, et al.
Published: (2024)
by: Yang, Jiyuan, et al.
Published: (2024)
Generative Retrieval for Book search
by: Tang, Yubao, et al.
Published: (2025)
by: Tang, Yubao, et al.
Published: (2025)
DeepShop: A Benchmark for Deep Research Shopping Agents
by: Lyu, Yougang, et al.
Published: (2025)
by: Lyu, Yougang, et al.
Published: (2025)
Towards Empathetic Conversational Recommender Systems
by: Zhang, Xiaoyu, et al.
Published: (2024)
by: Zhang, Xiaoyu, et al.
Published: (2024)
Federated User Behavior Modeling for Privacy-Preserving LLM Recommendation
by: Guo, Lei, et al.
Published: (2026)
by: Guo, Lei, et al.
Published: (2026)
Bootstrapped Pre-training with Dynamic Identifier Prediction for Generative Retrieval
by: Tang, Yubao, et al.
Published: (2024)
by: Tang, Yubao, et al.
Published: (2024)
Multi-Step Semantic Reasoning in Generative Retrieval
by: Dong, Steven, et al.
Published: (2026)
by: Dong, Steven, et al.
Published: (2026)
SA-CAISR: Stage-Adaptive and Conflict-Aware Incremental Sequential Recommendation
by: Song, Xiaomeng, et al.
Published: (2026)
by: Song, Xiaomeng, et al.
Published: (2026)
Thinking Forward and Backward: Multi-Objective Reinforcement Learning for Retrieval-Augmented Reasoning
by: Wei, Wenda, et al.
Published: (2025)
by: Wei, Wenda, et al.
Published: (2025)
A Multi-Agent Conversational Recommender System
by: Fang, Jiabao, et al.
Published: (2024)
by: Fang, Jiabao, et al.
Published: (2024)
Does Generative Retrieval Overcome the Limitations of Dense Retrieval?
by: Zhang, Yingchen, et al.
Published: (2025)
by: Zhang, Yingchen, et al.
Published: (2025)
Generative Retrieval Meets Multi-Graded Relevance
by: Tang, Yubao, et al.
Published: (2024)
by: Tang, Yubao, et al.
Published: (2024)
Answer Retrieval in Legal Community Question Answering
by: Askari, Arian, et al.
Published: (2024)
by: Askari, Arian, et al.
Published: (2024)
VideoRAG: Retrieval-Augmented Generation with Extreme Long-Context Videos
by: Ren, Xubin, et al.
Published: (2025)
by: Ren, Xubin, et al.
Published: (2025)
Robust Information Retrieval
by: Liu, Yu-An, et al.
Published: (2024)
by: Liu, Yu-An, et al.
Published: (2024)
On the Robustness of Generative Information Retrieval Models
by: Liu, Yu-An, et al.
Published: (2024)
by: Liu, Yu-An, et al.
Published: (2024)
Listwise Generative Retrieval Models via a Sequential Learning Process
by: Tang, Yubao, et al.
Published: (2024)
by: Tang, Yubao, et al.
Published: (2024)
Similar Items
-
Model Editing for New Document Integration in Generative Information Retrieval
by: Zhang, Zhen, et al.
Published: (2026) -
ZeroGR: A Generalizable and Scalable Framework for Zero-Shot Generative Retrieval
by: Sun, Weiwei, et al.
Published: (2025) -
Direct Retrieval-augmented Optimization: Synergizing Knowledge Selection and Language Models
by: Shi, Zhengliang, et al.
Published: (2025) -
Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents
by: Sun, Weiwei, et al.
Published: (2023) -
Generative Retrieval as Multi-Vector Dense Retrieval
by: Wu, Shiguang, et al.
Published: (2024)