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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Issue: April 2026
Volume 11 | Issue 4
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 119
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| Paper Title: | Hallucination-Aware Adaptive Retrieval-Augmented Generation for Knowledge-Grounded Question Answering Systems |
| Authors Name: | B S L Sruti Annapurna , T Santhosha |
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IJRTI_210626
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| Published Paper Id: | IJRTI2603128 |
| Published In: | Volume 11 Issue 3, March-2026 |
| DOI: | |
| Abstract: | Large Language Models (LLMs) have demonstrated remarkable capabilities in natural language generation and reasoning tasks. However, these models frequently produce hallucinated responses that appear fluent but lack factual grounding. Retrieval-Augmented Generation (RAG) has been proposed to mitigate this issue by incorporating external knowledge sources during response generation. Despite these improvements, traditional RAG systems still suffer from hallucinations due to irrelevant document retrieval, insufficient contextual grounding, and the absence of verification mechanisms. This paper proposes a Hallucination-Aware Adaptive Retrieval-Augmented Generation framework for knowledge-grounded question answering systems. The proposed framework introduces retrieval confidence evaluation and evidence alignment verification to ensure that generated responses remain consistent with retrieved documents. Additionally, an adaptive feedback mechanism enables dynamic response refinement when inconsistencies are detected. Experimental evaluation demonstrates that the proposed approach significantly reduces hallucination rates and improves factual accuracy compared to baseline methods. |
| Keywords: | Large Language Models, Retrieval-Augmented Generation, Knowledge-Grounded Question Answering, Hallucination Mitigation, Adaptive Retrieval, Evidence Verification |
| Cite Article: | "Hallucination-Aware Adaptive Retrieval-Augmented Generation for Knowledge-Grounded Question Answering Systems", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 3, page no.b230-b237, March-2026, Available :http://www.ijrti.org/papers/IJRTI2603128.pdf |
| Downloads: | 00085 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2603128
Registration ID:210626
Published In: Volume 11 Issue 3, March-2026
DOI (Digital Object Identifier):
Page No: b230-b237 Country: Secunderabad, Telangana, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2603128 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2603128 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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