activity
20232026
collaborators

7 papers

cs.RO2026

OpenSplatGraph: From Dense Semantic Maps to Structured Scene Graphs for Open-Vocabulary Robot Perception

Binh Long Nguyen, Kien Nguyen, Clinton Fookes +1

Dense 3D mapping with semantic understanding is essential for robotic perception in complex environments. Recent 3D Gaussian Splatting-based mapping approaches enable high-fidelity…

cs.LG2026

Gradient Transformer: Learning to Generate Updates for LLMs

Binh-Nguyen Nguyen, Khang Tran, NhatHai Phan +1

Many organizations lack computational resources to fine-tune large language models (LLMs) on private (unshareable) data for better utility, while fine-tuning tiny language models (…

cs.CV2026

Ilov3Splat: Instance-Level Open-Vocabulary 3D Scene Understanding in Gaussian Splatting

Binh Long Nguyen, Kien Nguyen, Sridha Sridharan +2

We introduce Ilov3Splat, a novel framework for instance-level open-vocabulary 3D scene understanding built on 3D Gaussian Splatting (3D-GS). Most prior work depends on 2D rendering…

cs.CL2025

Task-driven Layerwise Additive Activation Intervention

Hieu Trung Nguyen, Bao Nguyen, Binh Nguyen +1

Modern language models (LMs) have significantly advanced generative modeling in natural language processing (NLP). Despite their success, LMs often struggle with adaptation to new…

cs.LG2025

Distributional Surgery for Language Model Activations

Bao Nguyen, Binh Nguyen, Duy Nguyen +1

Language models, while capable of generating remarkably coherent and seemingly accurate text, can occasionally produce undesirable content, including harmful or toxic outputs. In t…

cs.LG2024

Generative Conditional Distributions by Neural (Entropic) Optimal Transport

Bao Nguyen, Binh Nguyen, Hieu Trung Nguyen +1

Learning conditional distributions is challenging because the desired outcome is not a single distribution but multiple distributions that correspond to multiple instances of the c…

cs.CV2023

Bellman Optimal Stepsize Straightening of Flow-Matching Models

Bao Nguyen, Binh Nguyen, Viet Anh Nguyen

Flow matching is a powerful framework for generating high-quality samples in various applications, especially image synthesis. However, the intensive computational demands of these…