Saved in:
| Main Authors: | Hazoom, Moshe, Patel, Gal, Talmor, Alon, Hope, Tom |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2605.25641 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Initial Nugget Evaluation Results for the TREC 2024 RAG Track with the AutoNuggetizer Framework
by: Pradeep, Ronak, et al.
Published: (2024)
by: Pradeep, Ronak, et al.
Published: (2024)
ReaRAG: Knowledge-guided Reasoning Enhances Factuality of Large Reasoning Models with Iterative Retrieval Augmented Generation
by: Lee, Zhicheng, et al.
Published: (2025)
by: Lee, Zhicheng, et al.
Published: (2025)
RAG Foundry: A Framework for Enhancing LLMs for Retrieval Augmented Generation
by: Fleischer, Daniel, et al.
Published: (2024)
by: Fleischer, Daniel, et al.
Published: (2024)
LatentRAG: Latent Reasoning and Retrieval for Efficient Agentic RAG
by: Zheng, Yijia, et al.
Published: (2026)
by: Zheng, Yijia, et al.
Published: (2026)
TruthfulRAG: Resolving Factual-level Conflicts in Retrieval-Augmented Generation with Knowledge Graphs
by: Liu, Shuyi, et al.
Published: (2025)
by: Liu, Shuyi, et al.
Published: (2025)
Face4RAG: Factual Consistency Evaluation for Retrieval Augmented Generation in Chinese
by: Xu, Yunqi, et al.
Published: (2024)
by: Xu, Yunqi, et al.
Published: (2024)
The Great Nugget Recall: Automating Fact Extraction and RAG Evaluation with Large Language Models
by: Pradeep, Ronak, et al.
Published: (2025)
by: Pradeep, Ronak, et al.
Published: (2025)
KiRAG: Knowledge-Driven Iterative Retriever for Enhancing Retrieval-Augmented Generation
by: Fang, Jinyuan, et al.
Published: (2025)
by: Fang, Jinyuan, et al.
Published: (2025)
Agentic Retrieval-Augmented Generation: A Survey on Agentic RAG
by: Singh, Aditi, et al.
Published: (2025)
by: Singh, Aditi, et al.
Published: (2025)
FoRAG: Factuality-optimized Retrieval Augmented Generation for Web-enhanced Long-form Question Answering
by: Cai, Tianchi, et al.
Published: (2024)
by: Cai, Tianchi, et al.
Published: (2024)
A-RAG: Scaling Agentic Retrieval-Augmented Generation via Hierarchical Retrieval Interfaces
by: Du, Mingxuan, et al.
Published: (2026)
by: Du, Mingxuan, 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)
RAC: Efficient LLM Factuality Correction with Retrieval Augmentation
by: Li, Changmao, et al.
Published: (2024)
by: Li, Changmao, et al.
Published: (2024)
AgenticRAGTracer: A Hop-Aware Benchmark for Diagnosing Multi-Step Retrieval Reasoning in Agentic RAG
by: You, Qijie, et al.
Published: (2026)
by: You, Qijie, et al.
Published: (2026)
DecEx-RAG: Boosting Agentic Retrieval-Augmented Generation with Decision and Execution Optimization via Process Supervision
by: Leng, Yongqi, et al.
Published: (2025)
by: Leng, Yongqi, et al.
Published: (2025)
Inferring Scientific Cross-Document Coreference and Hierarchy with Definition-Augmented Relational Reasoning
by: Forer, Lior, et al.
Published: (2024)
by: Forer, Lior, et al.
Published: (2024)
CHIMERA: A Knowledge Base of Scientific Idea Recombinations for Research Analysis and Ideation
by: Sternlicht, Noy, et al.
Published: (2025)
by: Sternlicht, Noy, et al.
Published: (2025)
PrismRAG: Boosting RAG Factuality with Distractor Resilience and Strategized Reasoning
by: Kachuee, Mohammad, et al.
Published: (2025)
by: Kachuee, Mohammad, et al.
Published: (2025)
From RAG to RICHES: Retrieval Interlaced with Sequence Generation
by: Jain, Palak, et al.
Published: (2024)
by: Jain, Palak, et al.
Published: (2024)
Enhancing Discoverability in Enterprise Conversational Systems with Proactive Question Suggestions
by: Shen, Xiaobin, et al.
Published: (2024)
by: Shen, Xiaobin, et al.
Published: (2024)
LVLM-Aware Multimodal Retrieval for RAG-Based Medical Diagnosis with General-Purpose Models
by: Mazor, Nir, et al.
Published: (2025)
by: Mazor, Nir, et al.
Published: (2025)
Is Agentic RAG worth it? An experimental comparison of RAG approaches
by: Ferrazzi, Pietro, et al.
Published: (2026)
by: Ferrazzi, Pietro, et al.
Published: (2026)
Factuality or Fiction? Benchmarking Modern LLMs on Ambiguous QA with Citations
by: Patel, Maya, et al.
Published: (2024)
by: Patel, Maya, et al.
Published: (2024)
Explainable Semantic Text Relations: A Question-Answering Framework for Comparing Document Content
by: Aperstein, Yehudit, et al.
Published: (2025)
by: Aperstein, Yehudit, et al.
Published: (2025)
RAIR: Retrieval-Augmented Iterative Refinement for Chinese Spelling Correction
by: Liang, Junhong, et al.
Published: (2025)
by: Liang, Junhong, et al.
Published: (2025)
REX-RAG: Reasoning Exploration with Policy Correction in Retrieval-Augmented Generation
by: Jiang, Wentao, et al.
Published: (2025)
by: Jiang, Wentao, et al.
Published: (2025)
Context-Efficient Retrieval with Factual Decomposition
by: Li, Yanhong, et al.
Published: (2025)
by: Li, Yanhong, et al.
Published: (2025)
SimpleQA Verified: A Reliable Factuality Benchmark to Measure Parametric Knowledge
by: Haas, Lukas, et al.
Published: (2025)
by: Haas, Lukas, et al.
Published: (2025)
Optimizing Retrieval for RAG via Reinforcement Learning
by: Zhou, Jiawei, et al.
Published: (2025)
by: Zhou, Jiawei, et al.
Published: (2025)
DiVA: Fine-grained Factuality Verification with Agentic-Discriminative Verifier
by: Huang, Hui, et al.
Published: (2026)
by: Huang, Hui, et al.
Published: (2026)
Empty Shelves or Lost Keys? Recall Is the Bottleneck for Parametric Factuality
by: Calderon, Nitay, et al.
Published: (2026)
by: Calderon, Nitay, et al.
Published: (2026)
Reasoning Models Reason Well, Until They Don't
by: Rameshkumar, Revanth, et al.
Published: (2025)
by: Rameshkumar, Revanth, et al.
Published: (2025)
OpenRAG: Optimizing RAG End-to-End via In-Context Retrieval Learning
by: Zhou, Jiawei, et al.
Published: (2025)
by: Zhou, Jiawei, et al.
Published: (2025)
SciMON: Scientific Inspiration Machines Optimized for Novelty
by: Wang, Qingyun, et al.
Published: (2023)
by: Wang, Qingyun, et al.
Published: (2023)
Retrieval Head Mechanistically Explains Long-Context Factuality
by: Wu, Wenhao, et al.
Published: (2024)
by: Wu, Wenhao, et al.
Published: (2024)
Replace, Don't Expand: Mitigating Context Dilution in Multi-Hop RAG via Fixed-Budget Evidence Assembly
by: Lahmy, Moshe, et al.
Published: (2025)
by: Lahmy, Moshe, et al.
Published: (2025)
GINGER: Grounded Information Nugget-Based Generation of Responses
by: Łajewska, Weronika, et al.
Published: (2025)
by: Łajewska, Weronika, et al.
Published: (2025)
Beyond Factual Accuracy: Evaluating Global Reasoning Integrity in RAG Systems with LogicScore
by: Yan, Zhichao, et al.
Published: (2026)
by: Yan, Zhichao, et al.
Published: (2026)
Factuality and Transparency Are All RAG Needs! Self-Explaining Contrastive Evidence Re-ranking
by: Vargas, Francielle, et al.
Published: (2025)
by: Vargas, Francielle, et al.
Published: (2025)
RAGONITE: Iterative Retrieval on Induced Databases and Verbalized RDF for Conversational QA over KGs with RAG
by: Roy, Rishiraj Saha, et al.
Published: (2024)
by: Roy, Rishiraj Saha, et al.
Published: (2024)
Similar Items
-
Initial Nugget Evaluation Results for the TREC 2024 RAG Track with the AutoNuggetizer Framework
by: Pradeep, Ronak, et al.
Published: (2024) -
ReaRAG: Knowledge-guided Reasoning Enhances Factuality of Large Reasoning Models with Iterative Retrieval Augmented Generation
by: Lee, Zhicheng, et al.
Published: (2025) -
RAG Foundry: A Framework for Enhancing LLMs for Retrieval Augmented Generation
by: Fleischer, Daniel, et al.
Published: (2024) -
LatentRAG: Latent Reasoning and Retrieval for Efficient Agentic RAG
by: Zheng, Yijia, et al.
Published: (2026) -
TruthfulRAG: Resolving Factual-level Conflicts in Retrieval-Augmented Generation with Knowledge Graphs
by: Liu, Shuyi, et al.
Published: (2025)