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cs.CL2024
Preserving Knowledge in Large Language Model with Model-Agnostic Self-Decompression
Zilun Zhang, Yutao Sun, Tiancheng Zhao +4
Humans can retain old knowledge while learning new information, but Large Language Models (LLMs) often suffer from catastrophic forgetting when post-pretrained or supervised fine-t…
cs.LG2024
HORAE: A Domain-Agnostic Language for Automated Service Regulation
Yutao Sun, Mingshuai Chen, Tiancheng Zhao +8
Artificial intelligence is rapidly encroaching on the field of service regulation. However, existing AI-based regulation techniques are often tailored to specific application domai…