Evaluating Retrieval Augmented Generative Models for Document Queries in Transportation Safety
Fuente:
arXiv
Saved in:
| Main Authors: | Melton, Chad, Sorokine, Alex, Peterson, Steve |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Evaluating Self-Generated Documents for Enhancing Retrieval-Augmented Generation with Large Language Models
by: Li, Jiatao, et al.
Published: (2024)
by: Li, Jiatao, et al.
Published: (2024)
ImpRAG: Retrieval-Augmented Generation with Implicit Queries
by: Zhang, Wenzheng, et al.
Published: (2025)
by: Zhang, Wenzheng, et al.
Published: (2025)
Investigating the Robustness of Retrieval-Augmented Generation at the Query Level
by: Perçin, Sezen, et al.
Published: (2025)
by: Perçin, Sezen, et al.
Published: (2025)
Assessing the Answerability of Queries in Retrieval-Augmented Code Generation
by: Kim, Geonmin, et al.
Published: (2024)
by: Kim, Geonmin, et al.
Published: (2024)
DF-RAG: Query-Aware Diversity for Retrieval-Augmented Generation
by: Khan, Saadat Hasan, et al.
Published: (2026)
by: Khan, Saadat Hasan, et al.
Published: (2026)
RQ-RAG: Learning to Refine Queries for Retrieval Augmented Generation
by: Chan, Chi-Min, et al.
Published: (2024)
by: Chan, Chi-Min, et al.
Published: (2024)
Query Suggestion for Retrieval-Augmented Generation via Dynamic In-Context Learning
by: Spaeh, Fabian, et al.
Published: (2026)
by: Spaeh, Fabian, et al.
Published: (2026)
Unanswerability Evaluation for Retrieval Augmented Generation
by: Peng, Xiangyu, et al.
Published: (2024)
by: Peng, Xiangyu, et al.
Published: (2024)
RAGRouter: Learning to Route Queries to Multiple Retrieval-Augmented Language Models
by: Zhang, Jiarui, et al.
Published: (2025)
by: Zhang, Jiarui, et al.
Published: (2025)
MultiHop-RAG: Benchmarking Retrieval-Augmented Generation for Multi-Hop Queries
by: Tang, Yixuan, et al.
Published: (2024)
by: Tang, Yixuan, et al.
Published: (2024)
Steering Over-refusals Towards Safety in Retrieval Augmented Generation
by: Maskey, Utsav, et al.
Published: (2025)
by: Maskey, Utsav, et al.
Published: (2025)
Stronger Baselines for Retrieval-Augmented Generation with Long-Context Language Models
by: Laitenberger, Alex, et al.
Published: (2025)
by: Laitenberger, Alex, et al.
Published: (2025)
Enhancing Retrieval Processes for Language Generation with Augmented Queries
by: Ghali, Julien Pierre Edmond, et al.
Published: (2024)
by: Ghali, Julien Pierre Edmond, et al.
Published: (2024)
Conversational Query Reformulation with the Guidance of Retrieved Documents
by: Park, Jeonghyun, et al.
Published: (2024)
by: Park, Jeonghyun, et al.
Published: (2024)
Evaluating Retrieval Quality in Retrieval-Augmented Generation
by: Salemi, Alireza, et al.
Published: (2024)
by: Salemi, Alireza, et al.
Published: (2024)
CAR: Query-Guided Confidence-Aware Reranking for Retrieval-Augmented Generation
by: Song, Zhipeng, et al.
Published: (2026)
by: Song, Zhipeng, et al.
Published: (2026)
RichRAG: Crafting Rich Responses for Multi-faceted Queries in Retrieval-Augmented Generation
by: Wang, Shuting, et al.
Published: (2024)
by: Wang, Shuting, et al.
Published: (2024)
Ragas: Automated Evaluation of Retrieval Augmented Generation
by: Es, Shahul, et al.
Published: (2023)
by: Es, Shahul, et al.
Published: (2023)
BlendFilter: Advancing Retrieval-Augmented Large Language Models via Query Generation Blending and Knowledge Filtering
by: Wang, Haoyu, et al.
Published: (2024)
by: Wang, Haoyu, et al.
Published: (2024)
Align Documents to Questions: Question-Oriented Document Rewriting for Retrieval-Augmented Generation
by: Li, Jiaang, et al.
Published: (2026)
by: Li, Jiaang, et al.
Published: (2026)
Transforming Questions and Documents for Semantically Aligned Retrieval-Augmented Generation
by: Lee, Seokgi
Published: (2025)
by: Lee, Seokgi
Published: (2025)
Legal-DC: Benchmarking Retrieval-Augmented Generation for Legal Documents
by: Li, Yaocong, et al.
Published: (2026)
by: Li, Yaocong, et al.
Published: (2026)
RARE: Retrieval-Aware Robustness Evaluation for Retrieval-Augmented Generation Systems
by: Zeng, Yixiao, et al.
Published: (2025)
by: Zeng, Yixiao, et al.
Published: (2025)
Query-Centric Graph Retrieval Augmented Generation
by: Wu, Yaxiong, et al.
Published: (2025)
by: Wu, Yaxiong, et al.
Published: (2025)
Chronological Knowledge Retrieval: A Retrieval-Augmented Generation Approach to Construction Project Documentation
by: Kostis, Ioannis-Aris, et al.
Published: (2026)
by: Kostis, Ioannis-Aris, et al.
Published: (2026)
PICOs-RAG: PICO-supported Query Rewriting for Retrieval-Augmented Generation in Evidence-Based Medicine
by: Sun, Mengzhou, et al.
Published: (2025)
by: Sun, Mengzhou, et al.
Published: (2025)
LRAGE: Legal Retrieval Augmented Generation Evaluation Tool
by: Park, Minhu, et al.
Published: (2025)
by: Park, Minhu, et al.
Published: (2025)
MSRS: Evaluating Multi-Source Retrieval-Augmented Generation
by: Phanse, Rohan, et al.
Published: (2025)
by: Phanse, Rohan, et al.
Published: (2025)
LLMs are Biased Evaluators But Not Biased for Retrieval Augmented Generation
by: Chen, Yen-Shan, et al.
Published: (2024)
by: Chen, Yen-Shan, et al.
Published: (2024)
Evaluation of Attribution Bias in Generator-Aware Retrieval-Augmented Large Language Models
by: Abolghasemi, Amin, et al.
Published: (2024)
by: Abolghasemi, Amin, et al.
Published: (2024)
Efficient Dynamic Clustering-Based Document Compression for Retrieval-Augmented-Generation
by: Li, Weitao, et al.
Published: (2025)
by: Li, Weitao, et al.
Published: (2025)
Responsible Retrieval Augmented Generation for Climate Decision Making from Documents
by: Juhasz, Matyas, et al.
Published: (2024)
by: Juhasz, Matyas, et al.
Published: (2024)
Leveraging LLM-Assisted Query Understanding for Live Retrieval-Augmented Generation
by: Dong, Guanting, et al.
Published: (2025)
by: Dong, Guanting, et al.
Published: (2025)
Towards Lighter and Robust Evaluation for Retrieval Augmented Generation
by: Ispas, Alex-Razvan, et al.
Published: (2025)
by: Ispas, Alex-Razvan, et al.
Published: (2025)
Query Optimization for Parametric Knowledge Refinement in Retrieval-Augmented Large Language Models
by: Cong, Youan, et al.
Published: (2024)
by: Cong, Youan, et al.
Published: (2024)
Investigating Retrieval-Augmented Generation Systems on Unanswerable, Uncheatable, Realistic, Multi-hop Queries
by: Liu, Gabrielle Kaili-May, et al.
Published: (2025)
by: Liu, Gabrielle Kaili-May, et al.
Published: (2025)
Evaluation of Retrieval-Augmented Generation: A Survey
by: Yu, Hao, et al.
Published: (2024)
by: Yu, Hao, et al.
Published: (2024)
Database-Augmented Query Representation for Information Retrieval
by: Jeong, Soyeong, et al.
Published: (2024)
by: Jeong, Soyeong, et al.
Published: (2024)
RAG Safety: Exploring Knowledge Poisoning Attacks to Retrieval-Augmented Generation
by: Zhao, Tianzhe, et al.
Published: (2025)
by: Zhao, Tianzhe, et al.
Published: (2025)
Comparison of Text-Based and Image-Based Retrieval in Multimodal Retrieval Augmented Generation Large Language Model Systems
by: Lumer, Elias, et al.
Published: (2025)
by: Lumer, Elias, et al.
Published: (2025)
Similar Items
-
Evaluating Self-Generated Documents for Enhancing Retrieval-Augmented Generation with Large Language Models
by: Li, Jiatao, et al.
Published: (2024) -
ImpRAG: Retrieval-Augmented Generation with Implicit Queries
by: Zhang, Wenzheng, et al.
Published: (2025) -
Investigating the Robustness of Retrieval-Augmented Generation at the Query Level
by: Perçin, Sezen, et al.
Published: (2025) -
Assessing the Answerability of Queries in Retrieval-Augmented Code Generation
by: Kim, Geonmin, et al.
Published: (2024) -
DF-RAG: Query-Aware Diversity for Retrieval-Augmented Generation
by: Khan, Saadat Hasan, et al.
Published: (2026)