Saved in:
| Main Authors: | Yang, Tianbo, Yan, Mingqi, Zhao, Hongyi, Yang, Tianshuo |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2501.15797 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
SimRAG: Self-Improving Retrieval-Augmented Generation for Adapting Large Language Models to Specialized Domains
by: Xu, Ran, et al.
Published: (2024)
by: Xu, Ran, et al.
Published: (2024)
Utilizing Large Language Models for Information Extraction from Real Estate Transactions
by: Zhao, Yu, et al.
Published: (2024)
by: Zhao, Yu, et al.
Published: (2024)
Retrieval-Augmented Generation with Graphs (GraphRAG)
by: Han, Haoyu, et al.
Published: (2024)
by: Han, Haoyu, et al.
Published: (2024)
AT-RAG: An Adaptive RAG Model Enhancing Query Efficiency with Topic Filtering and Iterative Reasoning
by: Rezaei, Mohammad Reza, et al.
Published: (2024)
by: Rezaei, Mohammad Reza, et al.
Published: (2024)
BadRAG: Identifying Vulnerabilities in Retrieval Augmented Generation of Large Language Models
by: Xue, Jiaqi, et al.
Published: (2024)
by: Xue, Jiaqi, et al.
Published: (2024)
LANE: Logic Alignment of Non-tuning Large Language Models and Online Recommendation Systems for Explainable Reason Generation
by: Zhao, Hongke, et al.
Published: (2024)
by: Zhao, Hongke, et al.
Published: (2024)
Protecting Copyrighted Material with Unique Identifiers in Large Language Model Training
by: Zhao, Shuai, et al.
Published: (2024)
by: Zhao, Shuai, et al.
Published: (2024)
LegalRAG: A Hybrid RAG System for Multilingual Legal Information Retrieval
by: Kabir, Muhammad Rafsan, et al.
Published: (2025)
by: Kabir, Muhammad Rafsan, et al.
Published: (2025)
UltRAG: a Universal Simple Scalable Recipe for Knowledge Graph RAG
by: Georgiev, Dobrik, et al.
Published: (2026)
by: Georgiev, Dobrik, et al.
Published: (2026)
LawLLM: Law Large Language Model for the US Legal System
by: Shu, Dong, et al.
Published: (2024)
by: Shu, Dong, et al.
Published: (2024)
Question-Answer Extraction from Scientific Articles Using Knowledge Graphs and Large Language Models
by: Azarbonyad, Hosein, et al.
Published: (2025)
by: Azarbonyad, Hosein, et al.
Published: (2025)
Identifying Reasons for Contraceptive Switching from Real-World Data Using Large Language Models
by: Miao, Brenda Y., et al.
Published: (2024)
by: Miao, Brenda Y., et al.
Published: (2024)
Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting
by: Qin, Zhen, et al.
Published: (2023)
by: Qin, Zhen, et al.
Published: (2023)
Stochastic RAG: End-to-End Retrieval-Augmented Generation through Expected Utility Maximization
by: Zamani, Hamed, et al.
Published: (2024)
by: Zamani, Hamed, et al.
Published: (2024)
TableRAG: Million-Token Table Understanding with Language Models
by: Chen, Si-An, et al.
Published: (2024)
by: Chen, Si-An, et al.
Published: (2024)
Integrating Domain Knowledge into Large Language Models for Enhanced Fashion Recommendations
by: Shi, Zhan, et al.
Published: (2025)
by: Shi, Zhan, et al.
Published: (2025)
NANOGPT: A Query-Driven Large Language Model Retrieval-Augmented Generation System for Nanotechnology Research
by: Chandrasekhar, Achuth, et al.
Published: (2025)
by: Chandrasekhar, Achuth, et al.
Published: (2025)
Simple Is Effective: The Roles of Graphs and Large Language Models in Knowledge-Graph-Based Retrieval-Augmented Generation
by: Li, Mufei, et al.
Published: (2024)
by: Li, Mufei, et al.
Published: (2024)
Large Language Model Can Be a Foundation for Hidden Rationale-Based Retrieval
by: Ji, Luo, et al.
Published: (2024)
by: Ji, Luo, et al.
Published: (2024)
D2S-FLOW: Automated Parameter Extraction from Datasheets for SPICE Model Generation Using Large Language Models
by: Chen, Hong Cai, et al.
Published: (2025)
by: Chen, Hong Cai, et al.
Published: (2025)
Atomic Information Flow: A Network Flow Model for Tool Attributions in RAG Systems
by: Gao, James, et al.
Published: (2026)
by: Gao, James, et al.
Published: (2026)
The Chronicles of RAG: The Retriever, the Chunk and the Generator
by: Finardi, Paulo, et al.
Published: (2024)
by: Finardi, Paulo, et al.
Published: (2024)
Make Large Language Model a Better Ranker
by: Chao, Wen-Shuo, et al.
Published: (2024)
by: Chao, Wen-Shuo, et al.
Published: (2024)
MacRAG: Compress, Slice, and Scale-up for Multi-Scale Adaptive Context RAG
by: Lim, Woosang, et al.
Published: (2025)
by: Lim, Woosang, et al.
Published: (2025)
SPARC-RAG: Adaptive Sequential-Parallel Scaling with Context Management for Retrieval-Augmented Generation
by: Yang, Yuxin, et al.
Published: (2026)
by: Yang, Yuxin, et al.
Published: (2026)
RAGSys: Item-Cold-Start Recommender as RAG System
by: Contal, Emile, et al.
Published: (2024)
by: Contal, Emile, et al.
Published: (2024)
SLMRec: Distilling Large Language Models into Small for Sequential Recommendation
by: Xu, Wujiang, et al.
Published: (2024)
by: Xu, Wujiang, et al.
Published: (2024)
Integrating Large Language Models with Graphical Session-Based Recommendation
by: Guo, Naicheng, et al.
Published: (2024)
by: Guo, Naicheng, et al.
Published: (2024)
CoRAG: Collaborative Retrieval-Augmented Generation
by: Muhamed, Aashiq, et al.
Published: (2025)
by: Muhamed, Aashiq, et al.
Published: (2025)
Enhancing Q&A Text Retrieval with Ranking Models: Benchmarking, fine-tuning and deploying Rerankers for RAG
by: Moreira, Gabriel de Souza P., et al.
Published: (2024)
by: Moreira, Gabriel de Souza P., et al.
Published: (2024)
Scalable Identification and Prioritization of Requisition-Specific Personal Competencies Using Large Language Models
by: Li, Wanxin, et al.
Published: (2026)
by: Li, Wanxin, et al.
Published: (2026)
METIS: Fast Quality-Aware RAG Systems with Configuration Adaptation
by: Ray, Siddhant, et al.
Published: (2024)
by: Ray, Siddhant, et al.
Published: (2024)
Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs
by: Jin, Bowen, et al.
Published: (2024)
by: Jin, Bowen, et al.
Published: (2024)
Accelerating Retrieval-Augmented Language Model Serving with Speculation
by: Zhang, Zhihao, et al.
Published: (2024)
by: Zhang, Zhihao, et al.
Published: (2024)
Language Models As Semantic Indexers
by: Jin, Bowen, et al.
Published: (2023)
by: Jin, Bowen, et al.
Published: (2023)
LLMInit: A Free Lunch from Large Language Models for Selective Initialization of Recommendation
by: Zhang, Weizhi, et al.
Published: (2025)
by: Zhang, Weizhi, et al.
Published: (2025)
Multi-task retriever fine-tuning for domain-specific and efficient RAG
by: Béchard, Patrice, et al.
Published: (2025)
by: Béchard, Patrice, et al.
Published: (2025)
Supply Chain Network Extraction and Entity Classification Leveraging Large Language Models
by: Liu, Tong, et al.
Published: (2024)
by: Liu, Tong, et al.
Published: (2024)
GenRec: Generative Sequential Recommendation with Large Language Models
by: Cao, Panfeng, et al.
Published: (2024)
by: Cao, Panfeng, et al.
Published: (2024)
Large Language Models are Learnable Planners for Long-Term Recommendation
by: Shi, Wentao, et al.
Published: (2024)
by: Shi, Wentao, et al.
Published: (2024)
Similar Items
-
SimRAG: Self-Improving Retrieval-Augmented Generation for Adapting Large Language Models to Specialized Domains
by: Xu, Ran, et al.
Published: (2024) -
Utilizing Large Language Models for Information Extraction from Real Estate Transactions
by: Zhao, Yu, et al.
Published: (2024) -
Retrieval-Augmented Generation with Graphs (GraphRAG)
by: Han, Haoyu, et al.
Published: (2024) -
AT-RAG: An Adaptive RAG Model Enhancing Query Efficiency with Topic Filtering and Iterative Reasoning
by: Rezaei, Mohammad Reza, et al.
Published: (2024) -
BadRAG: Identifying Vulnerabilities in Retrieval Augmented Generation of Large Language Models
by: Xue, Jiaqi, et al.
Published: (2024)