Heshan Fernando

ARMOR: Adaptive Retriever Optimization for Low-Resource Telecom Question Answering

Heshan Fernando, Quan Xiao, Yan Xin, Tianyi Chen

Telecom question answering (QA) is a challenging setting for retrieval-augmented generation (RAG): evidence is fragmented across standards, papers, encyclopedic resources, and web documents, and answers often hinge on technical tables, equations, and specialized protocol language…Read more