Accommodate Knowledge Conflicts in Retrieval-augmented LLMs: Towards Robust Response Generation in the Wild
Fuente:
arXiv
Saved in:
| Main Authors: | Wang, Jiatai, Xu, Zhiwei, Jin, Di, Yang, Xuewen, Li, Tao |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
ConflictRAG: Detecting and Resolving Knowledge Conflicts in Retrieval Augmented Generation
by: Wang, Chenyu, et al.
Published: (2026)
by: Wang, Chenyu, et al.
Published: (2026)
RAG in the Wild: On the (In)effectiveness of LLMs with Mixture-of-Knowledge Retrieval Augmentation
by: Xu, Ran, et al.
Published: (2025)
by: Xu, Ran, 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)
Supportiveness-based Knowledge Rewriting for Retrieval-augmented Language Modeling
by: Qiao, Zile, et al.
Published: (2024)
by: Qiao, Zile, et al.
Published: (2024)
Retrieval-Augmented Generation with Conflicting Evidence
by: Wang, Han, et al.
Published: (2025)
by: Wang, Han, et al.
Published: (2025)
Knowledge Conflicts for LLMs: A Survey
by: Xu, Rongwu, et al.
Published: (2024)
by: Xu, Rongwu, et al.
Published: (2024)
Retrieval-augmented GUI Agents with Generative Guidelines
by: Xu, Ran, et al.
Published: (2025)
by: Xu, Ran, et al.
Published: (2025)
Tug-of-War Between Knowledge: Exploring and Resolving Knowledge Conflicts in Retrieval-Augmented Language Models
by: Jin, Zhuoran, et al.
Published: (2024)
by: Jin, Zhuoran, et al.
Published: (2024)
MedRAG: Enhancing Retrieval-augmented Generation with Knowledge Graph-Elicited Reasoning for Healthcare Copilot
by: Zhao, Xuejiao, et al.
Published: (2025)
by: Zhao, Xuejiao, et al.
Published: (2025)
Does RAG Know When Retrieval Is Wrong? Diagnosing Context Compliance under Knowledge Conflict
by: Chen, Yihang, et al.
Published: (2026)
by: Chen, Yihang, et al.
Published: (2026)
AKEW: Assessing Knowledge Editing in the Wild
by: Wu, Xiaobao, et al.
Published: (2024)
by: Wu, Xiaobao, et al.
Published: (2024)
Knowledge Tagging System on Math Questions via LLMs with Flexible Demonstration Retriever
by: Li, Hang, et al.
Published: (2024)
by: Li, Hang, et al.
Published: (2024)
SARA: Selective and Adaptive Retrieval-augmented Generation with Context Compression
by: Jin, Yiqiao, et al.
Published: (2025)
by: Jin, Yiqiao, et al.
Published: (2025)
Toward Structured Knowledge Reasoning: Contrastive Retrieval-Augmented Generation on Experience
by: Gu, Jiawei, et al.
Published: (2025)
by: Gu, Jiawei, et al.
Published: (2025)
RGAR: Recurrence Generation-augmented Retrieval for Factual-aware Medical Question Answering
by: Liang, Sichu, et al.
Published: (2025)
by: Liang, Sichu, et al.
Published: (2025)
xRAG: Extreme Context Compression for Retrieval-augmented Generation with One Token
by: Cheng, Xin, et al.
Published: (2024)
by: Cheng, Xin, et al.
Published: (2024)
Conflict-Aware Soft Prompting for Retrieval-Augmented Generation
by: Choi, Eunseong, et al.
Published: (2025)
by: Choi, Eunseong, et al.
Published: (2025)
Neurosymbolic Retrievers for Retrieval-augmented Generation
by: Saxena, Yash, et al.
Published: (2026)
by: Saxena, Yash, et al.
Published: (2026)
MKRAG: Medical Knowledge Retrieval Augmented Generation for Medical Question Answering
by: Shi, Yucheng, et al.
Published: (2023)
by: Shi, Yucheng, et al.
Published: (2023)
Needle in the Web: A Benchmark for Retrieving Targeted Web Pages in the Wild
by: Wang, Yumeng, et al.
Published: (2025)
by: Wang, Yumeng, et al.
Published: (2025)
Tracking the Limits of Knowledge Propagation: How LLMs Fail at Multi-Step Reasoning with Conflicting Knowledge
by: Feng, Yiyang, et al.
Published: (2026)
by: Feng, Yiyang, et al.
Published: (2026)
Retrieval-augmented generation in multilingual settings
by: Chirkova, Nadezhda, et al.
Published: (2024)
by: Chirkova, Nadezhda, et al.
Published: (2024)
SciRerankBench: Benchmarking Rerankers Towards Scientific Retrieval-Augmented Generated LLMs
by: Chen, Haotian, et al.
Published: (2025)
by: Chen, Haotian, et al.
Published: (2025)
List-aware Reranking-Truncation Joint Model for Search and Retrieval-augmented Generation
by: Xu, Shicheng, et al.
Published: (2024)
by: Xu, Shicheng, et al.
Published: (2024)
GeAR: Graph-enhanced Agent for Retrieval-augmented Generation
by: Shen, Zhili, et al.
Published: (2024)
by: Shen, Zhili, et al.
Published: (2024)
MLLM Is a Strong Reranker: Advancing Multimodal Retrieval-augmented Generation via Knowledge-enhanced Reranking and Noise-injected Training
by: Chen, Zhanpeng, et al.
Published: (2024)
by: Chen, Zhanpeng, et al.
Published: (2024)
Do Large Language Models Know Conflict? Investigating Parametric vs. Non-Parametric Knowledge of LLMs for Conflict Forecasting
by: Nemkova, Apollinaire Poli, et al.
Published: (2025)
by: Nemkova, Apollinaire Poli, et al.
Published: (2025)
Towards Cross-Cultural Machine Translation with Retrieval-Augmented Generation from Multilingual Knowledge Graphs
by: Conia, Simone, et al.
Published: (2024)
by: Conia, Simone, et al.
Published: (2024)
ConflictBank: A Benchmark for Evaluating the Influence of Knowledge Conflicts in LLM
by: Su, Zhaochen, et al.
Published: (2024)
by: Su, Zhaochen, et al.
Published: (2024)
Retrieval-Augmented Generation with Hierarchical Knowledge
by: Huang, Haoyu, et al.
Published: (2025)
by: Huang, Haoyu, et al.
Published: (2025)
Task Matters: Knowledge Requirements Shape LLM Responses to Context-Memory Conflict
by: Sun, Kaiser, et al.
Published: (2025)
by: Sun, Kaiser, et al.
Published: (2025)
Dialogue Benchmark Generation from Knowledge Graphs with Cost-Effective Retrieval-Augmented LLMs
by: Omar, Reham, et al.
Published: (2025)
by: Omar, Reham, et al.
Published: (2025)
Toward Robust Multilingual Adaptation of LLMs for Low-Resource Languages
by: Li, Haolin, et al.
Published: (2025)
by: Li, Haolin, et al.
Published: (2025)
KBLaM: Knowledge Base augmented Language Model
by: Wang, Xi, et al.
Published: (2024)
by: Wang, Xi, et al.
Published: (2024)
IRCAN: Mitigating Knowledge Conflicts in LLM Generation via Identifying and Reweighting Context-Aware Neurons
by: Shi, Dan, et al.
Published: (2024)
by: Shi, Dan, et al.
Published: (2024)
Towards Robust Pruning: An Adaptive Knowledge-Retention Pruning Strategy for Language Models
by: Li, Jianwei, et al.
Published: (2023)
by: Li, Jianwei, et al.
Published: (2023)
WildSci: Advancing Scientific Reasoning from In-the-Wild Literature
by: Liu, Tengxiao, et al.
Published: (2026)
by: Liu, Tengxiao, et al.
Published: (2026)
Tug-of-War within A Decade: Conflict Resolution in Vulnerability Analysis via Teacher-Guided Retrieval-Augmented Generations
by: Zhou, Ziyin, et al.
Published: (2026)
by: Zhou, Ziyin, et al.
Published: (2026)
A Survey on Knowledge-Oriented Retrieval-Augmented Generation
by: Cheng, Mingyue, et al.
Published: (2025)
by: Cheng, Mingyue, et al.
Published: (2025)
Evidence-Driven Retrieval Augmented Response Generation for Online Misinformation
by: Yue, Zhenrui, et al.
Published: (2024)
by: Yue, Zhenrui, et al.
Published: (2024)
Similar Items
-
ConflictRAG: Detecting and Resolving Knowledge Conflicts in Retrieval Augmented Generation
by: Wang, Chenyu, et al.
Published: (2026) -
RAG in the Wild: On the (In)effectiveness of LLMs with Mixture-of-Knowledge Retrieval Augmentation
by: Xu, Ran, 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) -
Supportiveness-based Knowledge Rewriting for Retrieval-augmented Language Modeling
by: Qiao, Zile, et al.
Published: (2024) -
Retrieval-Augmented Generation with Conflicting Evidence
by: Wang, Han, et al.
Published: (2025)