Publication2025
Insight Lens: Multi-View Summarization via Retrieval-Augmented Generation for Hallucination Reduction
The record
- Type
- Publication
- Date
- 1 January 2025
- Level
- National
- Journal
- Proceedings of the IEEE International Conference on Big Data Bigdata
- Issue
- 2025
- Pages
- 6177-6186
- Published
- 1 January 2025
- DOI
- 10.1109/bigdata66926.2025.11400870
- Scopus ID
- 105037830358
- ISSN
- 25732978
- Authors
- 5
- Open access
- No
- Citations
- 0
- International co-authorship
- No
- Co-author countries
- IN
Classification
Every label below carries the reasoning it was assigned on, the confidence band it was assigned in, and what produced it. The rubric is published.
UN Sustainable Development Goals
9.5 Enhance scientific research, upgrade technological capabilities, and increase researchers and R&D spending
Multi-view abstractive summarization using retrieval-augmented generation and zero-shot prompting reduces hallucination by 235% achieving 87.92% BERTScore with QAGS evaluation.
- High confidence
- The subject matter is a strong and direct inference from the record type, the funding or organising body, or the programme context, even where the title alone is thin. Example: an ICMR-funded project against SDG 3, on the strength of the agency.
- Judged
- Judged against the published classification rubric, under the rubric and prompt versions recorded with the run that produced it.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Viksit Bharat @2047
vb-3.2 Digital technology and artificial intelligence
RAG-enhanced summarization framework integrates factual grounding with stylistic control demonstrating advanced natural language processing for trustworthy document analysis.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Each label above carries the instrument and the version that produced it. How each classification is reached.
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- Source rows resolved into this record
- 1
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Citing this record
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KIIT Deemed to be University. “Insight Lens: Multi-View Summarization via Retrieval-Augmented Generation for Hallucination Reduction”. Kortex.