5 papers
Representation Interventions Enable Lifelong Knowledge Memory Control in LLMs
Xuyuan Liu, Shengyu Chen, Xinshuai Dong +6
Large language models (LLMs) often produce incorrect or outdated content after being employed. Efficient and accurate knowledge updates without costly retraining are a major challe…
The Power of Order: Fooling LLMs with Adversarial Table Permutations
Xinshuai Dong, Haifeng Chen, Xuyuan Liu +5
Large Language Models have achieved remarkable success and are increasingly deployed in critical applications involving tabular data, such as Table Question Answering. However, the…
Low-Rank Plus Sparse Matrix Transfer Learning under Growing Representations and Ambient Dimensions
Jinhang Chai, Xuyuan Liu, Elynn Chen +1
Learning systems often expand their ambient features or latent representations over time, embedding earlier representations into larger spaces with limited new latent structure. We…
Spectral Insights into Data-Oblivious Critical Layers in Large Language Models
Xuyuan Liu, Lei Hsiung, Yaoqing Yang +1
Understanding how feature representations evolve across layers in large language models (LLMs) is key to improving their interpretability and robustness. While recent studies have…
Exploring Consistency in Graph Representations:from Graph Kernels to Graph Neural Networks
Xuyuan Liu, Yinghao Cai, Qihui Yang +1
Graph Neural Networks (GNNs) have emerged as a dominant approach in graph representation learning, yet they often struggle to capture consistent similarity relationships among grap…