activity
20202026
collaborators

6 papers

cs.CY2026

The Effect of Perceived Race and Gender on Police Language Use: Experimental Evidence from VR Simulations

Sandra C. Sandoval, Navita Goyal, Rashawn Ray +3

Against the backdrop of violence in police interactions with the U.S. public, we explore how deferentially police officers speak to virtual characters depicted as Black adult males…

cs.NE2026

QDEvo: A Multi-Objective Quality-Diversity Framework for Automated Heuristic Design

Nam Do Khanh, Nhat Nguyen Tran Minh, Dat Pham Vu Tuan +2

The integration of Large Language Models (LLMs) with evolutionary computation has emerged as a powerful paradigm for automated heuristic design in combinatorial optimization. Howev…

cs.LG2026

ProMUSE: Progressive Multi-modal Uncertainty-guided Staged Evidential Alzheimer Disease Classification

Long Doan, Branden Chen, Ethan Litton +6

Alzheimer's disease (AD) is a fatal disorder that destroys memory and cognitive skills in the elderly population. Most treatments for AD are effective in the early stage, leading t…

cs.NE2024

HSEvo: Elevating Automatic Heuristic Design with Diversity-Driven Harmony Search and Genetic Algorithm Using LLMs

Pham Vu Tuan Dat, Long Doan, Huynh Thi Thanh Binh

Automatic Heuristic Design (AHD) is an active research area due to its utility in solving complex search and NP-hard combinatorial optimization problems in the real world. The rece…

cs.CL2021

PhoMT: A High-Quality and Large-Scale Benchmark Dataset for Vietnamese-English Machine Translation

Long Doan, Linh The Nguyen, Nguyen Luong Tran +2

We introduce a high-quality and large-scale Vietnamese-English parallel dataset of 3.02M sentence pairs, which is 2.9M pairs larger than the benchmark Vietnamese-English machine tr…

cs.CL2020

WNUT-2020 Task 2: Identification of Informative COVID-19 English Tweets

Dat Quoc Nguyen, Thanh Vu, Afshin Rahimi +3

In this paper, we provide an overview of the WNUT-2020 shared task on the identification of informative COVID-19 English Tweets. We describe how we construct a corpus of 10K Tweets…