RAG-Enhanced Large Language Models for Dynamic Content Expiration Prediction in Web Search

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chen, Tingyu, Zhang, Wenkai, Gao, Li, Su, Lixin, Chen, Ge, Yin, Dawei, Shi, Daiting
Format:	Preprint
Published:	2026
Subjects:	Information Retrieval Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Large Language Model-Powered Query-Driven Event Timeline Summarization in Industrial Search
by: Wang, Mingyue, et al.
Published: (2026)

TourRank: Utilizing Large Language Models for Documents Ranking with a Tournament-Inspired Strategy
by: Chen, Yiqun, et al.
Published: (2024)

Agentic-R: Learning to Retrieve for Agentic Search
by: Liu, Wenhan, et al.
Published: (2026)

GenCRF: Generative Clustering and Reformulation Framework for Enhanced Intent-Driven Information Retrieval
by: Seo, Wonduk, et al.
Published: (2024)

Leveraging Generative Models for Real-Time Query-Driven Text Summarization in Large-Scale Web Search
by: Xiong, Zeyu, et al.
Published: (2025)

Reconstructing Content via Collaborative Attention to Improve Multimodal Embedding Quality
by: Chen, Jiahan, et al.
Published: (2026)

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

CoRanking: Collaborative Ranking with Small and Large Ranking Agents
by: Liu, Wenhan, et al.
Published: (2025)

Unleashing the Power of LLMs in Dense Retrieval with Query Likelihood Modeling
by: Zhang, Hengran, et al.
Published: (2025)

Towards AI Search Paradigm
by: Li, Yuchen, et al.
Published: (2025)

A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language Models
by: Fan, Wenqi, et al.
Published: (2024)

Best Practices for Distilling Large Language Models into BERT for Web Search Ranking
by: Ye, Dezhi, et al.
Published: (2024)

MDEval: Evaluating and Enhancing Markdown Awareness in Large Language Models
by: Chen, Zhongpu, et al.
Published: (2025)

BASES: Large-scale Web Search User Simulation with Large Language Model based Agents
by: Ren, Ruiyang, et al.
Published: (2024)

Enhancing Content-based Recommendation via Large Language Model
by: Xu, Wentao, et al.
Published: (2024)

Utility-Focused LLM Annotation for Retrieval and Retrieval-Augmented Generation
by: Zhang, Hengran, et al.
Published: (2025)

M-RAG: Reinforcing Large Language Model Performance through Retrieval-Augmented Generation with Multiple Partitions
by: Wang, Zheng, et al.
Published: (2024)

WeKnow-RAG: An Adaptive Approach for Retrieval-Augmented Generation Integrating Web Search and Knowledge Graphs
by: Xie, Weijian, et al.
Published: (2024)

An Index-based Approach for Efficient and Effective Web Content Extraction
by: Chen, Yihan, et al.
Published: (2025)

Towards Completeness-Oriented Tool Retrieval for Large Language Models
by: Qu, Changle, et al.
Published: (2024)

Sliding Windows Are Not the End: Exploring Full Ranking with Long-Context Large Language Models
by: Liu, Wenhan, et al.
Published: (2024)

Rethinking Reasoning-Intensive Retrieval: Evaluating and Advancing Retrievers in Agentic Search Systems
by: Zhao, Yilun, et al.
Published: (2026)

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

ER-RAG: Enhance RAG with ER-Based Unified Modeling of Heterogeneous Data Sources
by: Xia, Yikuan, et al.
Published: (2025)

INTERS: Unlocking the Power of Large Language Models in Search with Instruction Tuning
by: Zhu, Yutao, et al.
Published: (2024)

SearchRAG: Can Search Engines Be Helpful for LLM-based Medical Question Answering?
by: Shi, Yucheng, et al.
Published: (2025)

Attention in Large Language Models Yields Efficient Zero-Shot Re-Rankers
by: Chen, Shijie, et al.
Published: (2024)

Proactive Guidance of Multi-Turn Conversation in Industrial Search
by: Li, Xiaoyu, et al.
Published: (2025)

Pistis-RAG: Enhancing Retrieval-Augmented Generation with Human Feedback
by: Bai, Yu, et al.
Published: (2024)

MiLQ: Benchmarking IR Models for Bilingual Web Search with Mixed Language Queries
by: Kim, Jonghwi, et al.
Published: (2025)

Reformulating Sequential Recommendation: Learning Dynamic User Interest with Content-enriched Language Modeling
by: Jiang, Junzhe, et al.
Published: (2023)

EmbSum: Leveraging the Summarization Capabilities of Large Language Models for Content-Based Recommendations
by: Zhang, Chiyu, et al.
Published: (2024)

LLMRec: Large Language Models with Graph Augmentation for Recommendation
by: Wei, Wei, et al.
Published: (2023)

The Great Nugget Recall: Automating Fact Extraction and RAG Evaluation with Large Language Models
by: Pradeep, Ronak, et al.
Published: (2025)

OpenRAG: Optimizing RAG End-to-End via In-Context Retrieval Learning
by: Zhou, Jiawei, et al.
Published: (2025)

DRAGIN: Dynamic Retrieval Augmented Generation based on the Information Needs of Large Language Models
by: Su, Weihang, et al.
Published: (2024)

OpenDecoder: Open Large Language Model Decoding to Incorporate Document Quality in RAG
by: Mo, Fengran, et al.
Published: (2026)

Improving Pinterest Search Relevance Using Large Language Models
by: Wang, Han, et al.
Published: (2024)

MedRAG: Enhancing Retrieval-augmented Generation with Knowledge Graph-Elicited Reasoning for Healthcare Copilot
by: Zhao, Xuejiao, et al.
Published: (2025)

MassTool: A Multi-Task Search-Based Tool Retrieval Framework for Large Language Models
by: Lin, Jianghao, et al.
Published: (2025)