Zhang, Yang

TextGrad: Advancing Robustness Evaluation in NLP by Gradient-Driven Optimization

2022 · arXiv (Cornell University)

Robustness evaluation against adversarial examples has become increasingly important to unveil the trustworthiness of the prevailing deep models in natural language processing (NLP). However, in contrast to the computer vision domain where the first-order projected …

Transferable Sequential Recommendation via Vector Quantized Meta Learning

2024 · arXiv (Cornell University)

While sequential recommendation achieves significant progress on capturing user-item transition patterns, transferring such large-scale recommender systems remains challenging due to the disjoint user and item groups across domains. In this paper, we propose a vector …