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cs.LG2026
Knowledge is Not Enough: Injecting RL Skills for Continual Adaptation
Pingzhi Tang, Yiding Wang, Muhan Zhang
Large Language Models (LLMs) face the "knowledge cutoff" challenge, where their frozen parametric memory prevents direct internalization of new information. While Supervised Fine-T…
cs.LG2025
HD-PiSSA: High-Rank Distributed Orthogonal Adaptation
Yiding Wang, Fauxu Meng, Xuefeng Zhang +3
Existing parameter-efficient fine-tuning (PEFT) methods for large language models (LLMs), such as LoRA and PiSSA, constrain model updates to low-rank subspaces, limiting their expr…