mlsanityData to 14 Oct 2026

Bridging Semantic Gaps in RAG through Generated Context Knowledge Fusion

arXiv 2609.37171 ↗First posted 29 Sep 2026cs.CLcited by 0

On the map: Retrieval-augmented generation → Knowledge-graph and structured-knowledge RAG also fits: RAG robustness and adaptive retrieval

Abstract (arXiv)

Retrieval-Augmented Generation has established itself as a fundamental framework in natural language processing, seamlessly integrating information retrieval with the generative capabilities of large language models. However, this process is fundamentally constrained by a critical challenge: semantic space mismatch between queries and retrieved contexts. We propose Knowledge-Aware Semantic Bridging (KASB), a novel framework that improves passage selection quality through semantic space alignment between queries and retrieved documents through intelligent knowledge fusion. Our approach leverages the complementary strengths of generative and retrieval-based knowledge through a multistage process that enhances both relevance and accuracy. We evaluate KASB on three popular open-domain Question Answering datasets to demonstrate the effectiveness of our approach.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Placed in Knowledge-graph and structured-knowledge RAG, one of 15 directions in Retrieval-augmented generation. Builds on 18 of its 22 references that are in the map. First posted on arXiv 29 Sep 2026.

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18 of 22 references.

References · 18

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6 more
  1. 2022Precise Zero-Shot Dense Retrieval without Relevance Labelscited by 517
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  5. 2023Merging Generated and Retrieved Knowledge for Open-Domain QAcited by 36
  6. 2024Improving Generated and Retrieved Knowledge Combination Through Zero-shot Generationcited by 1

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  3. 2025MMKB-RAG: A Multi-Modal Knowledge-Based Retrieval-Augmented Generation Framework
  4. 2025Know3-RAG: A Knowledge-aware RAG Framework with Adaptive Retrieval, Generation, and Filtering
  5. 2025A Query-Aware Multi-Path Knowledge Graph Fusion Approach for Enhancing Retrieval-Augmented Generation in Large Language Models
  6. 2026Finding What Matters: Anchoring Context Knowledge with Evolving Indices for Iterative Retrieval
  7. 2026NaviRAG: Towards Active Knowledge Navigation for Retrieval-Augmented Generation
  8. 2024Retrieval-Augmented Generation for Natural Language Processing: A Survey