Sai, Juluri Shiva and Swamynath, Vantala and Mayookh, Bethi and Srinivas, Undrakonda Ananth Lakshmi and Baruah, Hilly Gohain and Hatibaruah, Rakcinpha (2025) Leveraging Large Language Models for Enhanced Insights in Multi-Document Question Answering. In: Proceedings of the 4th International Conference on Information Technology, Civil Innovation, Science, and Management, ICITSM 2025, 28-29 April 2025, Tiruchengode, Tamil Nadu, India, Part I.
![[thumbnail of 79449.pdf]](http://eprints.eai.eu/style/images/fileicons/application_pdf.png "79449.pdf")
PDF
79449.pdf
Download (341kB)
Abstract
For data retrieval and comprehensive natural language understanding, answering multiple documents at the same time (MDQA) is essential with the basics of Large Language Models (LLMs). This paper is an attempted research work in formulating a MDQA system using the recent LLMs to solve questions from
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Date Deposited: | 04 Mar 2026 20:18 |
| Last Modified: | 16 Apr 2026 15:57 |
| URI: | http://eprints.eai.eu/id/eprint/60095 |
Actions (login required)
- View Item