Tat-Seng Chua

Towards Comprehensive Post Safety Alignment of Large Language Models via Safety Patching

2024 · arXiv (Cornell University)

Safety alignment of large language models (LLMs) has been gaining increasing attention. However, current safety-aligned LLMs suffer from the fragile and imbalanced safety mechanisms, which can still be induced to generate unsafe responses, exhibit over-safety …

Neural Graph Collaborative Filtering

2019

Learning vector representations (aka. embeddings) of users and items lies at the core of modern recommender systems. Ranging from early matrix factorization to recently emerged deep learning based methods, existing efforts typically obtain a user's …

Disentangled Graph Collaborative Filtering

2020

Learning informative representations of users and items from the interaction data is of crucial importance to collaborative filtering (CF). Present embedding functions exploit user-item relationships to enrich the representations, evolving from a single user-item instance …