Invar-RAG: Invariant LLM-aligned Retrieval for Better Generation
Fuente:
arXiv
Saved in:
| Main Authors: | Liu, Ziwei, Zhang, Liang, Li, Qian, Wu, Jianghua, Zhu, Guangxu |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
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)
Retrieving Minimal and Sufficient Reasoning Subgraphs with Graph Foundation Models for Path-aware GraphRAG
by: Yuan, Haonan, et al.
Published: (2026)
by: Yuan, Haonan, et al.
Published: (2026)
OntologyRAG: Better and Faster Biomedical Code Mapping with Retrieval-Augmented Generation (RAG) Leveraging Ontology Knowledge Graphs and Large Language Models
by: Feng, Hui, et al.
Published: (2025)
by: Feng, Hui, et al.
Published: (2025)
DA-RAG: Dynamic Attributed Community Search for Retrieval-Augmented Generation
by: Zeng, Xingyuan, et al.
Published: (2026)
by: Zeng, Xingyuan, et al.
Published: (2026)
UltraRAG: A Modular and Automated Toolkit for Adaptive Retrieval-Augmented Generation
by: Chen, Yuxuan, et al.
Published: (2025)
by: Chen, Yuxuan, et al.
Published: (2025)
Is Relevance Propagated from Retriever to Generator in RAG?
by: Tian, Fangzheng, et al.
Published: (2025)
by: Tian, Fangzheng, 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)
Mindful-RAG: A Study of Points of Failure in Retrieval Augmented Generation
by: Agrawal, Garima, et al.
Published: (2024)
by: Agrawal, Garima, et al.
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)
Optimizing Query Generation for Enhanced Document Retrieval in RAG
by: Koo, Hamin, et al.
Published: (2024)
by: Koo, Hamin, et al.
Published: (2024)
Process vs. Outcome Reward: Which is Better for Agentic RAG Reinforcement Learning
by: Zhang, Wenlin, et al.
Published: (2025)
by: Zhang, Wenlin, et al.
Published: (2025)
FlippedRAG: Black-Box Opinion Manipulation Adversarial Attacks to Retrieval-Augmented Generation Models
by: Chen, Zhuo, et al.
Published: (2025)
by: Chen, Zhuo, et al.
Published: (2025)
Youtu-GraphRAG: Vertically Unified Agents for Graph Retrieval-Augmented Complex Reasoning
by: Dong, Junnan, et al.
Published: (2025)
by: Dong, Junnan, et al.
Published: (2025)
Towards Cross-Modal Text-Molecule Retrieval with Better Modality Alignment
by: Song, Jia, et al.
Published: (2024)
by: Song, Jia, et al.
Published: (2024)
AtomicRAG: Atom-Entity Graphs for Retrieval-Augmented Generation
by: Hou, Yanning, et al.
Published: (2026)
by: Hou, Yanning, et al.
Published: (2026)
Doctor-RAG: Failure-Aware Repair for Agentic Retrieval-Augmented Generation
by: Jiao, Shuguang, et al.
Published: (2026)
by: Jiao, Shuguang, et al.
Published: (2026)
DynaRAG: Bridging Static and Dynamic Knowledge in Retrieval-Augmented Generation
by: Liang, Penghao, et al.
Published: (2026)
by: Liang, Penghao, et al.
Published: (2026)
Hyper-RAG: Combating LLM Hallucinations using Hypergraph-Driven Retrieval-Augmented Generation
by: Feng, Yifan, et al.
Published: (2025)
by: Feng, Yifan, et al.
Published: (2025)
Leveraging Memory Retrieval to Enhance LLM-based Generative Recommendation
by: Wang, Chengbing, et al.
Published: (2024)
by: Wang, Chengbing, et al.
Published: (2024)
QE-RAG: A Robust Retrieval-Augmented Generation Benchmark for Query Entry Errors
by: Zhang, Kepu, et al.
Published: (2025)
by: Zhang, Kepu, et al.
Published: (2025)
Rethinking Agentic RAG: Toward LLM-Driven Logical Retrieval Beyond Embeddings
by: Zeng, Yuqi, et al.
Published: (2026)
by: Zeng, Yuqi, et al.
Published: (2026)
HASH-RAG: Bridging Deep Hashing with Retriever for Efficient, Fine Retrieval and Augmented Generation
by: Guo, Jinyu, et al.
Published: (2025)
by: Guo, Jinyu, et al.
Published: (2025)
Overview of the TREC 2025 Retrieval Augmented Generation (RAG) Track
by: Upadhyay, Shivani, et al.
Published: (2026)
by: Upadhyay, Shivani, et al.
Published: (2026)
ItemRAG: Item-Based Retrieval-Augmented Generation for LLM-Based Recommendation
by: Kim, Sunwoo, et al.
Published: (2025)
by: Kim, Sunwoo, et al.
Published: (2025)
MultiRAG: A Knowledge-guided Framework for Mitigating Hallucination in Multi-source Retrieval Augmented Generation
by: Wu, Wenlong, et al.
Published: (2025)
by: Wu, Wenlong, et al.
Published: (2025)
XGraphRAG: Interactive Visual Analysis for Graph-based Retrieval-Augmented Generation
by: Wang, Ke, et al.
Published: (2025)
by: Wang, Ke, et al.
Published: (2025)
FunnelRAG: A Coarse-to-Fine Progressive Retrieval Paradigm for RAG
by: Zhao, Xinping, et al.
Published: (2024)
by: Zhao, Xinping, et al.
Published: (2024)
ReMindRAG: Low-Cost LLM-Guided Knowledge Graph Traversal for Efficient RAG
by: Hu, Yikuan, et al.
Published: (2025)
by: Hu, Yikuan, et al.
Published: (2025)
IGMiRAG: Intuition-Guided Retrieval-Augmented Generation with Adaptive Mining of In-Depth Memory
by: Hou, Xingliang, et al.
Published: (2026)
by: Hou, Xingliang, et al.
Published: (2026)
HopRAG: Multi-Hop Reasoning for Logic-Aware Retrieval-Augmented Generation
by: Liu, Hao, et al.
Published: (2025)
by: Liu, Hao, et al.
Published: (2025)
BubbleRAG: Evidence-Driven Retrieval-Augmented Generation for Black-Box Knowledge Graphs
by: Pan, Duyi, et al.
Published: (2026)
by: Pan, Duyi, et al.
Published: (2026)
TC-RAG:Turing-Complete RAG's Case study on Medical LLM Systems
by: Jiang, Xinke, et al.
Published: (2024)
by: Jiang, Xinke, et al.
Published: (2024)
PIR-RAG: A System for Private Information Retrieval in Retrieval-Augmented Generation
by: Wang, Baiqiang, et al.
Published: (2025)
by: Wang, Baiqiang, et al.
Published: (2025)
Cog-RAG: Cognitive-Inspired Dual-Hypergraph with Theme Alignment Retrieval-Augmented Generation
by: Hu, Hao, et al.
Published: (2025)
by: Hu, Hao, et al.
Published: (2025)
LexRAG: Benchmarking Retrieval-Augmented Generation in Multi-Turn Legal Consultation Conversation
by: Li, Haitao, et al.
Published: (2025)
by: Li, Haitao, et al.
Published: (2025)
Towards an In-Depth Comprehension of Case Relevance for Better Legal Retrieval
by: Li, Haitao, et al.
Published: (2024)
by: Li, Haitao, et al.
Published: (2024)
Interact-RAG: Reason and Interact with the Corpus, Beyond Black-Box Retrieval
by: Hui, Yulong, et al.
Published: (2025)
by: Hui, Yulong, et al.
Published: (2025)
TrustRAG: An Information Assistant with Retrieval Augmented Generation
by: Fan, Yixing, et al.
Published: (2025)
by: Fan, Yixing, et al.
Published: (2025)
RankArena: A Unified Platform for Evaluating Retrieval, Reranking and RAG with Human and LLM Feedback
by: Abdallah, Abdelrahman, et al.
Published: (2025)
by: Abdallah, Abdelrahman, et al.
Published: (2025)
HypRAG: Hyperbolic Dense Retrieval for Retrieval Augmented Generation
by: Madhu, Hiren, et al.
Published: (2026)
by: Madhu, Hiren, et al.
Published: (2026)
Similar Items
-
HtmlRAG: HTML is Better Than Plain Text for Modeling Retrieved Knowledge in RAG Systems
by: Tan, Jiejun, et al.
Published: (2024) -
Retrieving Minimal and Sufficient Reasoning Subgraphs with Graph Foundation Models for Path-aware GraphRAG
by: Yuan, Haonan, et al.
Published: (2026) -
OntologyRAG: Better and Faster Biomedical Code Mapping with Retrieval-Augmented Generation (RAG) Leveraging Ontology Knowledge Graphs and Large Language Models
by: Feng, Hui, et al.
Published: (2025) -
DA-RAG: Dynamic Attributed Community Search for Retrieval-Augmented Generation
by: Zeng, Xingyuan, et al.
Published: (2026) -
UltraRAG: A Modular and Automated Toolkit for Adaptive Retrieval-Augmented Generation
by: Chen, Yuxuan, et al.
Published: (2025)