Search Engines in an AI Era: The False Promise of Factual and Verifiable Source-Cited Responses

PN Venkit, P Laban, Y Zhou, Y Mao, CS Wu - arxiv preprint arxiv …, 2024 - arxiv.org
Large Language Model (LLM)-based applications are graduating from research prototypes
to products serving millions of users, influencing how people write and consume information …

TeleOracle: Fine-Tuned Retrieval-Augmented Generation with Long-Context Support for Network

N Alabbasi, O Erak, O Alhussein, I Lotfi… - arxiv preprint arxiv …, 2024 - arxiv.org
The telecommunications industry's rapid evolution demands intelligent systems capable of
managing complex networks and adapting to emerging technologies. While large language …

Legal Query RAG

RSM Wahidur, S Kim, H Choi, DS Bhatti, HN Lee - IEEE Access, 2025 - ieeexplore.ieee.org
Recently, legal practice has seen a significant rise in the adoption of Artificial Intelligence
(AI) for various core tasks. However, these technologies remain in their early stages and …

Correctness is not Faithfulness in RAG Attributions

J Wallat, M Heuss, M de Rijke, A Anand - arxiv preprint arxiv:2412.18004, 2024 - arxiv.org
Retrieving relevant context is a common approach to reduce hallucinations and enhance
answer reliability. Explicitly citing source documents allows users to verify generated …

CAPRAG: A Large Language Model Solution for Customer Service and Automatic Reporting using Vector and Graph Retrieval-Augmented Generation

H Landolsi, K Letaief, N Taghouti… - arxiv preprint arxiv …, 2025 - arxiv.org
The introduction of new features and services in the banking sector often overwhelms
customers, creating an opportunity for banks to enhance user experience through financial …

Building Intelligent Academic Service Agents: FAQ Extraction and Chatbots With Large Language Models

C Wangwiwattana, W Jantarick - 2024 8th International …, 2024 - ieeexplore.ieee.org
This study proposes an academic chatbot system utilizing large language models (LLMs) to
assist students with university-related tasks. The system is designed to simplify the …

Enhancing Enterprise-Wide Information Retrieval through RAG Systems Techniques, Evaluation, and Scalable Deployment

S Palaniappan, R Mali, L Cuomo, M Vitale… - Abu Dhabi …, 2024 - onepetro.org
Organizations in the Oil and Gas Industry deal with a vast repository of knowledge dispersed
across various structured and unstructured data sources. The process of retrieving …

Specification Decomposition and Comparison

N Nath - 2024 - search.proquest.com
Extracting technical requirements and finding the changes between latest and previous
revisions of specifications is a very tedious and time-consuming task. Often taking valuable …