Saved in:
| Main Authors: | Uapadhyay, Rishabh, Viviani, Marco |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2502.04666 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Health Misinformation Detection in Web Content via Web2Vec: A Structural-, Content-based, and Context-aware Approach based on Web2Vec
by: Upadhyay, Rishabh, et al.
Published: (2024)
by: Upadhyay, Rishabh, et al.
Published: (2024)
Evaluating Factual Density in Multi-Source RAG: A Study in Medical AI Accuracy
by: DeMarco, Michael R.
Published: (2026)
by: DeMarco, Michael R.
Published: (2026)
Is Relevance Propagated from Retriever to Generator in RAG?
by: Tian, Fangzheng, et al.
Published: (2025)
by: Tian, Fangzheng, et al.
Published: (2025)
Beyond Relevance: On the Relationship Between Retrieval and RAG Information Coverage
by: Samuel, Saron, et al.
Published: (2026)
by: Samuel, Saron, et al.
Published: (2026)
FIT-RAG: Black-Box RAG with Factual Information and Token Reduction
by: Mao, Yuren, et al.
Published: (2024)
by: Mao, Yuren, et al.
Published: (2024)
RAG-Match: Retrieval-Augmented Knowledge Injection and Hierarchical Reasoning for Calibrated Semantic Relevance
by: Jiang, Hengjun, et al.
Published: (2026)
by: Jiang, Hengjun, et al.
Published: (2026)
Enhancing Knowledge Retrieval with Topic Modeling for Knowledge-Grounded Dialogue
by: Tran, Nhat, et al.
Published: (2024)
by: Tran, Nhat, et al.
Published: (2024)
Optimizing Query Generation for Enhanced Document Retrieval in RAG
by: Koo, Hamin, et al.
Published: (2024)
by: Koo, Hamin, et al.
Published: (2024)
T-Retrievability: A Topic-Focused Approach to Measure Fair Document Exposure in Information Retrieval
by: Chang, Xuejun, et al.
Published: (2025)
by: Chang, Xuejun, et al.
Published: (2025)
Topic-FlipRAG: Topic-Orientated Adversarial Opinion Manipulation Attacks to Retrieval-Augmented Generation Models
by: Gong, Yuyang, et al.
Published: (2025)
by: Gong, Yuyang, et al.
Published: (2025)
Fact or Facsimile? Evaluating the Factual Robustness of Modern Retrievers
by: Wu, Haoyu, et al.
Published: (2025)
by: Wu, Haoyu, et al.
Published: (2025)
Enhancing Technical Documents Retrieval for RAG
by: Lai, Songjiang, et al.
Published: (2025)
by: Lai, Songjiang, et al.
Published: (2025)
Blended RAG: Improving RAG (Retriever-Augmented Generation) Accuracy with Semantic Search and Hybrid Query-Based Retrievers
by: Sawarkar, Kunal, et al.
Published: (2024)
by: Sawarkar, Kunal, et al.
Published: (2024)
Context-Efficient Retrieval with Factual Decomposition
by: Li, Yanhong, et al.
Published: (2025)
by: Li, Yanhong, et al.
Published: (2025)
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)
Topic-Specific Classifiers are Better Relevance Judges than Prompted LLMs
by: Gienapp, Lukas, et al.
Published: (2025)
by: Gienapp, Lukas, et al.
Published: (2025)
Calibration-Disentangled Learning and Relevance-Prioritized Reranking for Calibrated Sequential Recommendation
by: Jeon, Hyunsik, et al.
Published: (2024)
by: Jeon, Hyunsik, et al.
Published: (2024)
Enhancing Multilingual Information Retrieval in Mixed Human Resources Environments: A RAG Model Implementation for Multicultural Enterprise
by: Ahmad, Syed Rameel
Published: (2024)
by: Ahmad, Syed Rameel
Published: (2024)
Prospects of Retrieval Augmented Generation (RAG) for Academic Library Search and Retrieval
by: Bevara, Ravi, et al.
Published: (2025)
by: Bevara, Ravi, et al.
Published: (2025)
Enhancing Relevance of Embedding-based Retrieval at Walmart
by: Lin, Juexin, et al.
Published: (2024)
by: Lin, Juexin, et al.
Published: (2024)
TRUE: A Reproducible Framework for LLM-Driven Relevance Judgment in Information Retrieval
by: Dewan, Mouly, et al.
Published: (2025)
by: Dewan, Mouly, et al.
Published: (2025)
Discovering Biases in Information Retrieval Models Using Relevance Thesaurus as Global Explanation
by: Kim, Youngwoo, et al.
Published: (2024)
by: Kim, Youngwoo, et al.
Published: (2024)
PersonaRAG: Enhancing Retrieval-Augmented Generation Systems with User-Centric Agents
by: Zerhoudi, Saber, et al.
Published: (2024)
by: Zerhoudi, Saber, et al.
Published: (2024)
CiteFix: Enhancing RAG Accuracy Through Post-Processing Citation Correction
by: Maheshwari, Harsh, et al.
Published: (2025)
by: Maheshwari, Harsh, et al.
Published: (2025)
Generative Retrieval Meets Multi-Graded Relevance
by: Tang, Yubao, et al.
Published: (2024)
by: Tang, Yubao, 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)
Machine Assistant with Reliable Knowledge: Enhancing Student Learning via RAG-based Retrieval
by: Lian, Yongsheng
Published: (2025)
by: Lian, Yongsheng
Published: (2025)
Structure Guided Retrieval-Augmented Generation for Factual Queries
by: Xie, Miao, et al.
Published: (2026)
by: Xie, Miao, et al.
Published: (2026)
TCDE: Topic-Centric Dual Expansion of Queries and Documents with Large Language Models for Information Retrieval
by: Yang, Yu, et al.
Published: (2025)
by: Yang, Yu, 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)
CodeRAG: Finding Relevant and Necessary Knowledge for Retrieval-Augmented Repository-Level Code Completion
by: Zhang, Sheng, et al.
Published: (2025)
by: Zhang, Sheng, et al.
Published: (2025)
Graded Relevance Scoring of Written Essays with Dense Retrieval
by: Albatarni, Salam, et al.
Published: (2024)
by: Albatarni, Salam, et al.
Published: (2024)
HtmlRAG: HTML is Better Than Plain Text for Modeling Retrieved Knowledge in RAG Systems
by: Tan, Jiejun, et al.
Published: (2024)
by: Tan, Jiejun, et al.
Published: (2024)
Re3: Learning to Balance Relevance & Recency for Temporal Information Retrieval
by: Cao, Jiawei, et al.
Published: (2025)
by: Cao, Jiawei, et al.
Published: (2025)
NuggetIndex: Governed Atomic Retrieval for Maintainable RAG
by: Zerhoudi, Saber, et al.
Published: (2026)
by: Zerhoudi, Saber, et al.
Published: (2026)
Progressive Searching for Retrieval in RAG
by: Jeong, Taehee, et al.
Published: (2026)
by: Jeong, Taehee, et al.
Published: (2026)
Revisiting RAG Retrievers: An Information Theoretic Benchmark
by: Zheng, Wenqing, et al.
Published: (2026)
by: Zheng, Wenqing, et al.
Published: (2026)
From Relevance to Utility: Evidence Retrieval with Feedback for Fact Verification
by: Zhang, Hengran, et al.
Published: (2023)
by: Zhang, Hengran, et al.
Published: (2023)
The Overlooked Role of Graded Relevance Thresholds in Multilingual Dense Retrieval
by: Wullach, Tomer, et al.
Published: (2026)
by: Wullach, Tomer, et al.
Published: (2026)
Beyond Content Relevance: Evaluating Instruction Following in Retrieval Models
by: Zhou, Jianqun, et al.
Published: (2024)
by: Zhou, Jianqun, et al.
Published: (2024)
Similar Items
-
Health Misinformation Detection in Web Content via Web2Vec: A Structural-, Content-based, and Context-aware Approach based on Web2Vec
by: Upadhyay, Rishabh, et al.
Published: (2024) -
Evaluating Factual Density in Multi-Source RAG: A Study in Medical AI Accuracy
by: DeMarco, Michael R.
Published: (2026) -
Is Relevance Propagated from Retriever to Generator in RAG?
by: Tian, Fangzheng, et al.
Published: (2025) -
Beyond Relevance: On the Relationship Between Retrieval and RAG Information Coverage
by: Samuel, Saron, et al.
Published: (2026) -
FIT-RAG: Black-Box RAG with Factual Information and Token Reduction
by: Mao, Yuren, et al.
Published: (2024)