Xinyi Lai — accepted AI-conference papers

2025

A Tiny Change, A Giant Leap: Long-Tailed Class-Incremental Learning via Geometric Prototype Alignment

Xinyi Lai, Luojun Lin, Weijie Chen, Yuanlong Yu

ICCV 2025poster

Long-Tailed Class-Incremental Learning (LT-CIL) remains a fundamental challenge due to biased gradient updates caused by highly imbalanced data distributions and the inherent stability-plasticity dilemma. These factors jointly degrade tail-class performance and exacerbate catastrophic forgetting. To…

Cited by 0 Source ↗PDF ↗code ↗Scholar ↗

2023

2INER: Instructive and In-Context Learning on Few-Shot Named Entity Recognition

Jiasheng Zhang, Xikai Liu, Xinyi Lai, Yan Gao, Shusen Wang, Yao Hu +1

EMNLP 2023long findings

Prompt-based learning has emerged as a powerful technique in natural language processing (NLP) due to its ability to leverage pre-training knowledge for downstream few-shot tasks. In this paper, we propose 2INER, a novel text-to-text framework for Few-Shot Named Entity Recognition (NER) tasks. Our a…

Cited by 0 Source ↗Scholar ↗