Model Editing for New Document Integration in Generative Information Retrieval
Fuente:
arXiv
Guardado en:
| Autores principales: | Zhang, Zhen, Wang, Zihan, Ma, Xinyu, Wang, Shuaiqiang, Yin, Dawei, Xin, Xin, Ren, Pengjie, de Rijke, Maarten, Ren, Zhaochun |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Replication and Exploration of Generative Retrieval over Dynamic Corpora
por: Zhang, Zhen, et al.
Publicado: (2025)
por: Zhang, Zhen, et al.
Publicado: (2025)
Direct Retrieval-augmented Optimization: Synergizing Knowledge Selection and Language Models
por: Shi, Zhengliang, et al.
Publicado: (2025)
por: Shi, Zhengliang, et al.
Publicado: (2025)
ZeroGR: A Generalizable and Scalable Framework for Zero-Shot Generative Retrieval
por: Sun, Weiwei, et al.
Publicado: (2025)
por: Sun, Weiwei, et al.
Publicado: (2025)
Constrained Auto-Regressive Decoding Constrains Generative Retrieval
por: Wu, Shiguang, et al.
Publicado: (2025)
por: Wu, Shiguang, et al.
Publicado: (2025)
Cold-Starts in Generative Recommendation: A Reproducibility Study
por: Zhang, Zhen, et al.
Publicado: (2026)
por: Zhang, Zhen, et al.
Publicado: (2026)
Retrieval Models Aren't Tool-Savvy: Benchmarking Tool Retrieval for Large Language Models
por: Shi, Zhengliang, et al.
Publicado: (2025)
por: Shi, Zhengliang, et al.
Publicado: (2025)
Information Discovery in e-Commerce
por: Ren, Zhaochun, et al.
Publicado: (2024)
por: Ren, Zhaochun, et al.
Publicado: (2024)
Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents
por: Sun, Weiwei, et al.
Publicado: (2023)
por: Sun, Weiwei, et al.
Publicado: (2023)
Generative Retrieval as Multi-Vector Dense Retrieval
por: Wu, Shiguang, et al.
Publicado: (2024)
por: Wu, Shiguang, et al.
Publicado: (2024)
ExcluIR: Exclusionary Neural Information Retrieval
por: Zhang, Wenhao, et al.
Publicado: (2024)
por: Zhang, Wenhao, et al.
Publicado: (2024)
DiffuGR: Generative Document Retrieval with Diffusion Language Models
por: Zhao, Xinpeng, et al.
Publicado: (2025)
por: Zhao, Xinpeng, et al.
Publicado: (2025)
Improving Sequential Recommenders through Counterfactual Augmentation of System Exposure
por: Zhao, Ziqi, et al.
Publicado: (2025)
por: Zhao, Ziqi, et al.
Publicado: (2025)
Cognitive Biases in Large Language Models for News Recommendation
por: Lyu, Yougang, et al.
Publicado: (2024)
por: Lyu, Yougang, et al.
Publicado: (2024)
Curriculum Approximate Unlearning for Session-based Recommendation
por: Yang, Liu, et al.
Publicado: (2025)
por: Yang, Liu, et al.
Publicado: (2025)
R^3AG: First Workshop on Refined and Reliable Retrieval Augmented Generation
por: Wang, Zihan, et al.
Publicado: (2024)
por: Wang, Zihan, et al.
Publicado: (2024)
A Cooperative Multi-Agent Framework for Zero-Shot Named Entity Recognition
por: Wang, Zihan, et al.
Publicado: (2025)
por: Wang, Zihan, et al.
Publicado: (2025)
Towards Empathetic Conversational Recommender Systems
por: Zhang, Xiaoyu, et al.
Publicado: (2024)
por: Zhang, Xiaoyu, et al.
Publicado: (2024)
Knowledge Graph Retrieval-Augmented Generation for LLM-based Recommendation
por: Wang, Shijie, et al.
Publicado: (2025)
por: Wang, Shijie, et al.
Publicado: (2025)
Generate-then-Ground in Retrieval-Augmented Generation for Multi-hop Question Answering
por: Shi, Zhengliang, et al.
Publicado: (2024)
por: Shi, Zhengliang, et al.
Publicado: (2024)
Generative News Recommendation
por: Gao, Shen, et al.
Publicado: (2024)
por: Gao, Shen, et al.
Publicado: (2024)
Generative Retrieval for Book search
por: Tang, Yubao, et al.
Publicado: (2025)
por: Tang, Yubao, et al.
Publicado: (2025)
Uncovering Selective State Space Model's Capabilities in Lifelong Sequential Recommendation
por: Yang, Jiyuan, et al.
Publicado: (2024)
por: Yang, Jiyuan, et al.
Publicado: (2024)
On the Robustness of Generative Information Retrieval Models
por: Liu, Yu-An, et al.
Publicado: (2024)
por: Liu, Yu-An, et al.
Publicado: (2024)
MAIR: A Massive Benchmark for Evaluating Instructed Retrieval
por: Sun, Weiwei, et al.
Publicado: (2024)
por: Sun, Weiwei, et al.
Publicado: (2024)
Content-Based Collaborative Generation for Recommender Systems
por: Wang, Yidan, et al.
Publicado: (2024)
por: Wang, Yidan, et al.
Publicado: (2024)
Robust Information Retrieval
por: Liu, Yu-An, et al.
Publicado: (2024)
por: Liu, Yu-An, et al.
Publicado: (2024)
Integrating Chain-of-Thought into Generative Retrieval: A Preliminary Study
por: Zhang, Wenhao, et al.
Publicado: (2026)
por: Zhang, Wenhao, et al.
Publicado: (2026)
DeepShop: A Benchmark for Deep Research Shopping Agents
por: Lyu, Yougang, et al.
Publicado: (2025)
por: Lyu, Yougang, et al.
Publicado: (2025)
Thinking Forward and Backward: Multi-Objective Reinforcement Learning for Retrieval-Augmented Reasoning
por: Wei, Wenda, et al.
Publicado: (2025)
por: Wei, Wenda, et al.
Publicado: (2025)
Unsupervised Large Language Model Alignment for Information Retrieval via Contrastive Feedback
por: Dong, Qian, et al.
Publicado: (2023)
por: Dong, Qian, et al.
Publicado: (2023)
VideoRAG: Retrieval-Augmented Generation with Extreme Long-Context Videos
por: Ren, Xubin, et al.
Publicado: (2025)
por: Ren, Xubin, et al.
Publicado: (2025)
I^3 Retriever: Incorporating Implicit Interaction in Pre-trained Language Models for Passage Retrieval
por: Dong, Qian, et al.
Publicado: (2023)
por: Dong, Qian, et al.
Publicado: (2023)
Multi-Step Semantic Reasoning in Generative Retrieval
por: Dong, Steven, et al.
Publicado: (2026)
por: Dong, Steven, et al.
Publicado: (2026)
Improving Retrieval-Augmented Generation through Multi-Agent Reinforcement Learning
por: Chen, Yiqun, et al.
Publicado: (2025)
por: Chen, Yiqun, et al.
Publicado: (2025)
Unifying Search and Recommendation in LLMs via Gradient Multi-Subspace Tuning
por: Zhao, Jujia, et al.
Publicado: (2026)
por: Zhao, Jujia, et al.
Publicado: (2026)
Lightweight and Direct Document Relevance Optimization for Generative Information Retrieval
por: Mekonnen, Kidist Amde, et al.
Publicado: (2025)
por: Mekonnen, Kidist Amde, et al.
Publicado: (2025)
Does Generative Retrieval Overcome the Limitations of Dense Retrieval?
por: Zhang, Yingchen, et al.
Publicado: (2025)
por: Zhang, Yingchen, et al.
Publicado: (2025)
Answer Retrieval in Legal Community Question Answering
por: Askari, Arian, et al.
Publicado: (2024)
por: Askari, Arian, et al.
Publicado: (2024)
LLM-Specific Utility: A New Perspective for Retrieval-Augmented Generation
por: Zhang, Hengran, et al.
Publicado: (2025)
por: Zhang, Hengran, et al.
Publicado: (2025)
Listwise Generative Retrieval Models via a Sequential Learning Process
por: Tang, Yubao, et al.
Publicado: (2024)
por: Tang, Yubao, et al.
Publicado: (2024)
Ejemplares similares
-
Replication and Exploration of Generative Retrieval over Dynamic Corpora
por: Zhang, Zhen, et al.
Publicado: (2025) -
Direct Retrieval-augmented Optimization: Synergizing Knowledge Selection and Language Models
por: Shi, Zhengliang, et al.
Publicado: (2025) -
ZeroGR: A Generalizable and Scalable Framework for Zero-Shot Generative Retrieval
por: Sun, Weiwei, et al.
Publicado: (2025) -
Constrained Auto-Regressive Decoding Constrains Generative Retrieval
por: Wu, Shiguang, et al.
Publicado: (2025) -
Cold-Starts in Generative Recommendation: A Reproducibility Study
por: Zhang, Zhen, et al.
Publicado: (2026)