6 citations · 15 across the 12 of their papers we have counts for
12 papers
Minimizing Collateral Damage in Activation Steering
Tam Nguyen, Tu Anh Nguyen, Sina Alemohammad +1
Activation steering is a method for controlling Large Language Model (LLM) behavior by intervening in its internal representations to increase the alignment with a specific target…
Improving Routing in Sparse Mixture of Experts with Graph of Tokens
Tam Nguyen, Ngoc N. Tran, Khai Nguyen +1
Sparse Mixture of Experts (SMoE) has emerged as a key to achieving unprecedented scalability in deep learning. By activating only a small subset of parameters per sample, SMoE achi…
A Primal-Dual Framework for Transformers and Neural Networks
Tan M. Nguyen, Tam Nguyen, Nhat Ho +3
Self-attention is key to the remarkable success of transformers in sequence modeling tasks including many applications in natural language processing and computer vision. Like neur…
PIDformer: Transformer Meets Control Theory
Tam Nguyen, César A. Uribe, Tan M. Nguyen +1
In this work, we address two main shortcomings of transformer architectures: input corruption and rank collapse in their output representation. We unveil self-attention as an auton…
Mitigating Over-smoothing in Transformers via Regularized Nonlocal Functionals
Tam Nguyen, Tan M. Nguyen, Richard G. Baraniuk
Transformers have achieved remarkable success in a wide range of natural language processing and computer vision applications. However, the representation capacity of a deep transf…
p-Laplacian Transformer
Tuan Nguyen, Tam Nguyen, Vinh Nguyen +1
-Laplacian regularization, rooted in graph and image signal processing, introduces a parameter to control the regularization effect on these data. Smaller values of prom…
A Text-based Approach For Link Prediction on Wikipedia Articles
Anh Hoang Tran, Tam Minh Nguyen, Son T. Luu
This paper present our work in the DSAA 2023 Challenge about Link Prediction for Wikipedia Articles. We use traditional machine learning models with POS tags (part-of-speech tags)…
Transformer with Fourier Integral Attentions
Tan Nguyen, Minh Pham, Tam Nguyen +3
Multi-head attention empowers the recent success of transformers, the state-of-the-art models that have achieved remarkable success in sequence modeling and beyond. These attention…
Improving Transformers with Probabilistic Attention Keys
Tam Nguyen, Tan M. Nguyen, Dung D. Le +5
Multi-head attention is a driving force behind state-of-the-art transformers, which achieve remarkable performance across a variety of natural language processing (NLP) and compute…
ReINTEL Challenge 2020: A Comparative Study of Hybrid Deep Neural Network for Reliable Intelligence Identification on Vietnamese SNSs
Hoang Viet Trinh, Tung Tien Bui, Tam Minh Nguyen +4
The overwhelming abundance of data has created a misinformation crisis. Unverified sensationalism that is designed to grab the readers' short attention span, when crafted with mali…
Active Learning in Incomplete Label Multiple Instance Multiple Label Learning
Tam Nguyen, Raviv Raich
In multiple instance multiple label learning, each sample, a bag, consists of multiple instances. To alleviate labeling complexity, each sample is associated with a set of bag-leve…
Interpreting the Latent Space of Generative Adversarial Networks using Supervised Learning
Toan Pham Van, Tam Minh Nguyen, Ngoc N. Tran +4
With great progress in the development of Generative Adversarial Networks (GANs), in recent years, the quest for insights in understanding and manipulating the latent space of GAN…