RAGtifier: Evaluating RAG Generation Approaches of State-of-the-Art RAG Systems for the SIGIR LiveRAG Competition
Fuente:
arXiv
Saved in:
| Main Authors: | Cofala, Tim, Astappiev, Oleh, Xion, William, Teklehaymanot, Hailay |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
RMIT-ADM+S at the SIGIR 2025 LiveRAG Challenge
by: Ran, Kun, et al.
Published: (2025)
by: Ran, Kun, et al.
Published: (2025)
SIGIR 2025 -- LiveRAG Challenge Report
by: Carmel, David, et al.
Published: (2025)
by: Carmel, David, et al.
Published: (2025)
RAG Playground: A Framework for Systematic Evaluation of Retrieval Strategies and Prompt Engineering in RAG Systems
by: Papadimitriou, Ioannis, et al.
Published: (2024)
by: Papadimitriou, Ioannis, et al.
Published: (2024)
Do We Still Need GraphRAG? Benchmarking RAG and GraphRAG for Agentic Search Systems
by: Fan, Dongzhe, et al.
Published: (2026)
by: Fan, Dongzhe, et al.
Published: (2026)
HLTCOE at LiveRAG: GPT-Researcher using ColBERT retrieval
by: Duh, Kevin, et al.
Published: (2025)
by: Duh, Kevin, et al.
Published: (2025)
LiveRAG: A diverse Q&A dataset with varying difficulty level for RAG evaluation
by: Carmel, David, et al.
Published: (2025)
by: Carmel, David, et al.
Published: (2025)
UiS-IAI@LiveRAG: Retrieval-Augmented Information Nugget-Based Generation of Responses
by: Łajewska, Weronika, et al.
Published: (2025)
by: Łajewska, Weronika, et al.
Published: (2025)
DMQR-RAG: Diverse Multi-Query Rewriting for RAG
by: Li, Zhicong, et al.
Published: (2024)
by: Li, Zhicong, et al.
Published: (2024)
NyayaRAG: Realistic Legal Judgment Prediction with RAG under the Indian Common Law System
by: Nigam, Shubham Kumar, et al.
Published: (2025)
by: Nigam, Shubham Kumar, et al.
Published: (2025)
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)
HugRAG: Hierarchical Causal Knowledge Graph Design for RAG
by: Wang, Nengbo, et al.
Published: (2026)
by: Wang, Nengbo, et al.
Published: (2026)
M-RAG: Making RAG Faster, Stronger, and More Efficient
by: Xu, Sun, et al.
Published: (2026)
by: Xu, Sun, et al.
Published: (2026)
SBI-RAG: Enhancing Math Word Problem Solving for Students through Schema-Based Instruction and Retrieval-Augmented Generation
by: Dixit, Prakhar, et al.
Published: (2024)
by: Dixit, Prakhar, et al.
Published: (2024)
Evaluating Hybrid Retrieval Augmented Generation using Dynamic Test Sets: LiveRAG Challenge
by: Fensore, Chase, et al.
Published: (2025)
by: Fensore, Chase, et al.
Published: (2025)
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)
HF-RAG: Hierarchical Fusion-based RAG with Multiple Sources and Rankers
by: Santra, Payel, et al.
Published: (2025)
by: Santra, Payel, et al.
Published: (2025)
Revisiting RAG Retrievers: An Information Theoretic Benchmark
by: Zheng, Wenqing, et al.
Published: (2026)
by: Zheng, Wenqing, et al.
Published: (2026)
RAG-IGBench: Innovative Evaluation for RAG-based Interleaved Generation in Open-domain Question Answering
by: Zhang, Rongyang, et al.
Published: (2025)
by: Zhang, Rongyang, et al.
Published: (2025)
PCA-RAG: Principal Component Analysis for Efficient Retrieval-Augmented Generation
by: Khaledian, Arman, et al.
Published: (2025)
by: Khaledian, Arman, et al.
Published: (2025)
W-RAG: Weakly Supervised Dense Retrieval in RAG for Open-domain Question Answering
by: Nian, Jinming, et al.
Published: (2024)
by: Nian, Jinming, et al.
Published: (2024)
Training-Induced Bias Toward LLM-Generated Content in Dense Retrieval
by: Xion, William, et al.
Published: (2026)
by: Xion, William, et al.
Published: (2026)
CoRAG: Collaborative Retrieval-Augmented Generation
by: Muhamed, Aashiq, et al.
Published: (2025)
by: Muhamed, Aashiq, et al.
Published: (2025)
Modular RAG: Transforming RAG Systems into LEGO-like Reconfigurable Frameworks
by: Gao, Yunfan, et al.
Published: (2024)
by: Gao, Yunfan, et al.
Published: (2024)
Test-time Corpus Feedback: From Retrieval to RAG
by: Rathee, Mandeep, et al.
Published: (2025)
by: Rathee, Mandeep, et al.
Published: (2025)
EcphoryRAG: Re-Imagining Knowledge-Graph RAG via Human Associative Memory
by: Liao, Zirui
Published: (2025)
by: Liao, Zirui
Published: (2025)
DoTA-RAG: Dynamic of Thought Aggregation RAG
by: Ruangtanusak, Saksorn, et al.
Published: (2025)
by: Ruangtanusak, Saksorn, et al.
Published: (2025)
SAGE: A Framework of Precise Retrieval for RAG
by: Zhang, Jintao, et al.
Published: (2025)
by: Zhang, Jintao, et al.
Published: (2025)
Know Your RAG: Dataset Taxonomy and Generation Strategies for Evaluating RAG Systems
by: de Lima, Rafael Teixeira, et al.
Published: (2024)
by: de Lima, Rafael Teixeira, et al.
Published: (2024)
Progressive Searching for Retrieval in RAG
by: Jeong, Taehee, et al.
Published: (2026)
by: Jeong, Taehee, et al.
Published: (2026)
StratRAG: A Multi-Hop Retrieval Evaluation Dataset for Retrieval-Augmented Generation Systems
by: Patodiya, Aryan
Published: (2026)
by: Patodiya, Aryan
Published: (2026)
FinSage: A Multi-aspect RAG System for Financial Filings Question Answering
by: Wang, Xinyu, et al.
Published: (2025)
by: Wang, Xinyu, et al.
Published: (2025)
LiteSemRAG: Lightweight LLM-Free Semantic-Aware Graph Retrieval for Robust RAG
by: Yue, Xiao, et al.
Published: (2026)
by: Yue, Xiao, et al.
Published: (2026)
Quantifying Document Impact in RAG-LLMs
by: Gerami, Armin, et al.
Published: (2025)
by: Gerami, Armin, et al.
Published: (2025)
Can LLMs Be Trusted for Evaluating RAG Systems? A Survey of Methods and Datasets
by: Brehme, Lorenz, et al.
Published: (2025)
by: Brehme, Lorenz, et al.
Published: (2025)
ECoRAG: Evidentiality-guided Compression for Long Context RAG
by: Jeong, Yeonseok, et al.
Published: (2025)
by: Jeong, Yeonseok, et al.
Published: (2025)
RMIT-ADM+S at the MMU-RAG NeurIPS 2025 Competition
by: Ran, Kun, et al.
Published: (2026)
by: Ran, Kun, et al.
Published: (2026)
LightRAG: Simple and Fast Retrieval-Augmented Generation
by: Guo, Zirui, et al.
Published: (2024)
by: Guo, Zirui, et al.
Published: (2024)
TrustRAG: An Information Assistant with Retrieval Augmented Generation
by: Fan, Yixing, et al.
Published: (2025)
by: Fan, Yixing, et al.
Published: (2025)
HyPA-RAG: A Hybrid Parameter Adaptive Retrieval-Augmented Generation System for AI Legal and Policy Applications
by: Kalra, Rishi, et al.
Published: (2024)
by: Kalra, Rishi, et al.
Published: (2024)
RAGXplain: From Explainable Evaluation to Actionable Guidance of RAG Pipelines
by: Cohen, Dvir, et al.
Published: (2025)
by: Cohen, Dvir, et al.
Published: (2025)
Similar Items
-
RMIT-ADM+S at the SIGIR 2025 LiveRAG Challenge
by: Ran, Kun, et al.
Published: (2025) -
SIGIR 2025 -- LiveRAG Challenge Report
by: Carmel, David, et al.
Published: (2025) -
RAG Playground: A Framework for Systematic Evaluation of Retrieval Strategies and Prompt Engineering in RAG Systems
by: Papadimitriou, Ioannis, et al.
Published: (2024) -
Do We Still Need GraphRAG? Benchmarking RAG and GraphRAG for Agentic Search Systems
by: Fan, Dongzhe, et al.
Published: (2026) -
HLTCOE at LiveRAG: GPT-Researcher using ColBERT retrieval
by: Duh, Kevin, et al.
Published: (2025)