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20242026
most citedUnderstanding Forgetting in LLM Supervised Fine-Tuning and Preference Learning -- A Convex Optimization Perspective

1 citations · 1 across the 4 of their papers we have counts for

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cs.IR2026

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

Heshan Fernando, Quan Xiao, Yan Xin +1

Telecom question answering (QA) is a challenging setting for retrieval-augmented generation (RAG): evidence is fragmented across standards, papers, encyclopedic resources, and web…