Hongtao Xie

UpSafe$^\circ$C: Upcycling for Controllable Safety in Large Language Models

2025 · arXiv (Cornell University)

Large Language Models (LLMs) have achieved remarkable progress across a wide range of tasks, but remain vulnerable to safety risks such as harmful content generation and jailbreak attacks. Existing safety techniques -- including external guardrails, …

Curriculum Learning for Natural Language Understanding

2020

With the great success of pre-trained language models, the pretrain-finetune paradigm now becomes the undoubtedly dominant solution for natural language understanding (NLU) tasks. At the fine-tune stage, target task data is usually introduced in a …