Xiaoye Qu

SEE: Continual Fine-tuning with Sequential Ensemble of Experts

2025 · arXiv (Cornell University)

Continual fine-tuning of large language models (LLMs) suffers from catastrophic forgetting. Rehearsal-based methods mitigate this problem by retaining a small set of old data. Nevertheless, they still suffer inevitable performance loss. Although training separate experts …

Adversarial Category Alignment Network for Cross-domain Sentiment Classification

2019

Xiaoye Qu, Zhikang Zou, Yu Cheng, Yang Yang, Pan Zhou. Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers). …