7 citations · 8 across the 6 of their papers we have counts for
3 papers · 1 filter
Global-to-Local Support Spectrums for Language Model Explainability
Lucas Agussurja, Xinyang Lu, Bryan Kian Hsiang Low
Existing sample-based methods, like influence functions and representer points, measure the importance of a training point by approximating the effect of its removal from training.…
TRACE: TRansformer-based Attribution using Contrastive Embeddings in LLMs
Cheng Wang, Xinyang Lu, See-Kiong Ng +1
The rapid evolution of large language models (LLMs) represents a substantial leap forward in natural language understanding and generation. However, alongside these advancements co…
On Newton's Method to Unlearn Neural Networks
Nhung Bui, Xinyang Lu, Rachael Hwee Ling Sim +2
With the widespread applications of neural networks (NNs) trained on personal data, machine unlearning has become increasingly important for enabling individuals to exercise their…