1 citations · 2 across the 9 of their papers we have counts for
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Improving LLM Unlearning Robustness via Random Perturbations
Dang Huu-Tien, Hoang Thanh-Tung, Anh Bui +3
Here, we show that current LLM unlearning methods inherently reduce models' robustness, causing them to misbehave even when a single non-adversarial forget-token is present in the…
On Effects of Steering Latent Representation for Large Language Model Unlearning
Dang Huu-Tien, Trung-Tin Pham, Hoang Thanh-Tung +1
Representation Misdirection for Unlearning (RMU), which steers model representation in the intermediate layer to a target random representation, is an effective method for large la…
Class based Influence Functions for Error Detection
Thang Nguyen-Duc, Hoang Thanh-Tung, Quan Hung Tran +4
Influence functions (IFs) are a powerful tool for detecting anomalous examples in large scale datasets. However, they are unstable when applied to deep networks. In this paper, we…
Non-Standard Vietnamese Word Detection and Normalization for Text-to-Speech
Huu-Tien Dang, Thi-Hai-Yen Vuong, Xuan-Hieu Phan
Converting written texts into their spoken forms is an essential problem in any text-to-speech (TTS) systems. However, building an effective text normalization solution for a real-…