2026
HOW CAN QUANTUM DEEP LEARNING IMPROVE LARGE LANGUAGE MODELS?
ICASSP 2026oral
The rapid progress of large language models (LLMs) has transformed natural language processing, yet the challenge of efficient adaptation remains unresolved. Full fine-tuning achieves strong performance but imposes prohibitive computational and memory costs. Parameter-efficient fine-tuning (PEFT) st…