Does RAG Know When Retrieval Is Wrong? Diagnosing Context Compliance under Knowledge Conflict
Fuente:
arXiv
Saved in:
| Main Authors: | Chen, Yihang, Qian, Pin, Wang, Su, Zhang, Sipeng, Xu, Huan, Lin, Shuhuai, Wei, Xinpeng |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Relevant Is Not Warranted: Evidence-Force Calibration for Cited RAG
by: Qian, Pin, et al.
Published: (2026)
by: Qian, Pin, et al.
Published: (2026)
ConflictRAG: Detecting and Resolving Knowledge Conflicts in Retrieval Augmented Generation
by: Wang, Chenyu, et al.
Published: (2026)
by: Wang, Chenyu, et al.
Published: (2026)
WhenLoss: Diagnosing Write and Retrieval Bottlenecks in Long-Context Memory Systems
by: Yu, Jiangnan, et al.
Published: (2026)
by: Yu, Jiangnan, et al.
Published: (2026)
FaithfulRAG: Fact-Level Conflict Modeling for Context-Faithful Retrieval-Augmented Generation
by: Zhang, Qinggang, et al.
Published: (2025)
by: Zhang, Qinggang, et al.
Published: (2025)
Blinded by Generated Contexts: How Language Models Merge Generated and Retrieved Contexts When Knowledge Conflicts?
by: Tan, Hexiang, et al.
Published: (2024)
by: Tan, Hexiang, et al.
Published: (2024)
Know3-RAG: A Knowledge-aware RAG Framework with Adaptive Retrieval, Generation, and Filtering
by: Liu, Xukai, et al.
Published: (2025)
by: Liu, Xukai, et al.
Published: (2025)
When RAG Hurts: Diagnosing and Mitigating Attention Distraction in Retrieval-Augmented LVLMs
by: Zhao, Beidi, et al.
Published: (2026)
by: Zhao, Beidi, 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)
Know When You're Wrong: Aligning Confidence with Correctness for LLM Error Detection
by: Xiaohu, Xie, et al.
Published: (2026)
by: Xiaohu, Xie, et al.
Published: (2026)
Astute RAG: Overcoming Imperfect Retrieval Augmentation and Knowledge Conflicts for Large Language Models
by: Wang, Fei, et al.
Published: (2024)
by: Wang, Fei, et al.
Published: (2024)
Does RAG Really Perform Bad For Long-Context Processing?
by: Luo, Kun, et al.
Published: (2025)
by: Luo, Kun, et al.
Published: (2025)
Citation-Enforced RAG for Fiscal Document Intelligence: Cited, Explainable Knowledge Retrieval in Tax Compliance
by: Shanivendra, Akhil Chandra
Published: (2026)
by: Shanivendra, Akhil Chandra
Published: (2026)
Diagnosing Retrieval Bias Under Multiple In-Context Knowledge Updates in Large Language Models
by: Qiao, Boyu, et al.
Published: (2026)
by: Qiao, Boyu, et al.
Published: (2026)
Do Retrieval Augmented Language Models Know When They Don't Know?
by: Zhou, Youchao, et al.
Published: (2025)
by: Zhou, Youchao, et al.
Published: (2025)
Self-Routing RAG: Binding Selective Retrieval with Knowledge Verbalization
by: Wu, Di, et al.
Published: (2025)
by: Wu, Di, et al.
Published: (2025)
WeKnow-RAG: An Adaptive Approach for Retrieval-Augmented Generation Integrating Web Search and Knowledge Graphs
by: Xie, Weijian, et al.
Published: (2024)
by: Xie, Weijian, et al.
Published: (2024)
When to use Graphs in RAG: A Comprehensive Analysis for Graph Retrieval-Augmented Generation
by: Xiang, Zhishang, et al.
Published: (2025)
by: Xiang, Zhishang, 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)
"Knowing When You Don't Know": A Multilingual Relevance Assessment Dataset for Robust Retrieval-Augmented Generation
by: Thakur, Nandan, et al.
Published: (2023)
by: Thakur, Nandan, et al.
Published: (2023)
Knowing When to Stop: Efficient Context Processing via Latent Sufficiency Signals
by: Xie, Roy, et al.
Published: (2025)
by: Xie, Roy, et al.
Published: (2025)
Knowing When Not to Answer: Lightweight KB-Aligned OOD Detection for Safe RAG
by: Triantafyllopoulos, Ilias, et al.
Published: (2025)
by: Triantafyllopoulos, Ilias, et al.
Published: (2025)
When Abundance Conceals Weakness: Knowledge Conflict in Multilingual Models
by: Zhao, Jiaqi, et al.
Published: (2026)
by: Zhao, Jiaqi, et al.
Published: (2026)
When Machine Unlearning Meets Retrieval-Augmented Generation (RAG): Keep Secret or Forget Knowledge?
by: Wang, Shang, et al.
Published: (2024)
by: Wang, Shang, et al.
Published: (2024)
Knowing You Don't Know: Learning When to Continue Search in Multi-round RAG through Self-Practicing
by: Yang, Diji, et al.
Published: (2025)
by: Yang, Diji, et al.
Published: (2025)
KnowTrace: Bootstrapping Iterative Retrieval-Augmented Generation with Structured Knowledge Tracing
by: Li, Rui, et al.
Published: (2025)
by: Li, Rui, et al.
Published: (2025)
RAG Safety: Exploring Knowledge Poisoning Attacks to Retrieval-Augmented Generation
by: Zhao, Tianzhe, et al.
Published: (2025)
by: Zhao, Tianzhe, et al.
Published: (2025)
TagRAG: Tag-guided Hierarchical Knowledge Graph Retrieval-Augmented Generation
by: Tao, Wenbiao, et al.
Published: (2025)
by: Tao, Wenbiao, et al.
Published: (2025)
Long$^2$RAG: Evaluating Long-Context & Long-Form Retrieval-Augmented Generation with Key Point Recall
by: Qi, Zehan, et al.
Published: (2024)
by: Qi, Zehan, et al.
Published: (2024)
How Retrieved Context Shapes Internal Representations in RAG
by: Yeh, Samuel, et al.
Published: (2026)
by: Yeh, Samuel, et al.
Published: (2026)
InstructRAG: Instructing Retrieval-Augmented Generation via Self-Synthesized Rationales
by: Wei, Zhepei, et al.
Published: (2024)
by: Wei, Zhepei, et al.
Published: (2024)
SlimRAG: Retrieval without Graphs via Entity-Aware Context Selection
by: Zhang, Jiale, et al.
Published: (2025)
by: Zhang, Jiale, et al.
Published: (2025)
Knowing When to Defer: Selective Prediction for Responsible Knowledge Tracing
by: Mitton, Joshua, et al.
Published: (2025)
by: Mitton, Joshua, et al.
Published: (2025)
Insights into LLM Long-Context Failures: When Transformers Know but Don't Tell
by: Lu, Taiming, et al.
Published: (2024)
by: Lu, Taiming, et al.
Published: (2024)
KnowPO: Knowledge-aware Preference Optimization for Controllable Knowledge Selection in Retrieval-Augmented Language Models
by: Zhang, Ruizhe, et al.
Published: (2024)
by: Zhang, Ruizhe, et al.
Published: (2024)
The Realignment Problem: When Right becomes Wrong in LLMs
by: Sharma, Aakash Sen, et al.
Published: (2025)
by: Sharma, Aakash Sen, et al.
Published: (2025)
NaviRAG: Towards Active Knowledge Navigation for Retrieval-Augmented Generation
by: Dai, Jihao, et al.
Published: (2026)
by: Dai, Jihao, et al.
Published: (2026)
What Models Know, How Well They Know It: Knowledge-Weighted Fine-Tuning for Learning When to Say "I Don't Know"
by: Lee, Joosung, et al.
Published: (2026)
by: Lee, Joosung, et al.
Published: (2026)
MemoRAG: Boosting Long Context Processing with Global Memory-Enhanced Retrieval Augmentation
by: Qian, Hongjin, et al.
Published: (2024)
by: Qian, Hongjin, et al.
Published: (2024)
KiRAG: Knowledge-Driven Iterative Retriever for Enhancing Retrieval-Augmented Generation
by: Fang, Jinyuan, et al.
Published: (2025)
by: Fang, Jinyuan, et al.
Published: (2025)
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)
Similar Items
-
Relevant Is Not Warranted: Evidence-Force Calibration for Cited RAG
by: Qian, Pin, et al.
Published: (2026) -
ConflictRAG: Detecting and Resolving Knowledge Conflicts in Retrieval Augmented Generation
by: Wang, Chenyu, et al.
Published: (2026) -
WhenLoss: Diagnosing Write and Retrieval Bottlenecks in Long-Context Memory Systems
by: Yu, Jiangnan, et al.
Published: (2026) -
FaithfulRAG: Fact-Level Conflict Modeling for Context-Faithful Retrieval-Augmented Generation
by: Zhang, Qinggang, et al.
Published: (2025) -
Blinded by Generated Contexts: How Language Models Merge Generated and Retrieved Contexts When Knowledge Conflicts?
by: Tan, Hexiang, et al.
Published: (2024)