in-context learning 1knowledge updating 1large language models 1low-rank adaptation 1memory mechanisms 1retrieval-augmented generation 1
From the 1 of 2 linked papers with an AI index.
2 papers
cs.LG2026
Understanding LoRA as Knowledge Memory: An Empirical Analysis
Seungju Back, Dongwoo Lee, Naun Kang +4
The paper empirically studies Low-Rank Adaptation (LoRA) as a parametric memory for updating knowledge in large language models, analyzing its capacity, composability, and scaling…
cs.CL2026
TLPO: Token-Level Policy Optimization for Mitigating Language Confusion in Large Language Models
Jinho Choo, JunSeung Lee, Jimyeong Kim +3
Large language models (LLMs) demonstrate strong multilingual capabilities, yet often fail to consistently generate responses in the intended language, exhibiting a phenomenon known…