2 citations · 2 across the 6 of their papers we have counts for
6 papers
Error-Supervised Synthetic Learner Writing for Automated Essay Scoring
Duy Anh Nguyen
Synthetic essays can help reduce dependence on human-written data in Automated Essay Scoring (AES). However, they often lack realistic errors, limiting their ability to represent a…
Does Continued Pretraining on a Learner Corpus Improve Automated Essay Scoring on English Proficiency Tests? Evidence from EFCAMDAT
Duy Anh Nguyen
Automated Essay Scoring (AES) for English proficiency assessment increasingly relies on pretrained transformer models, yet these models are typically trained on general-domain Engl…
PRISM: A Multi-Dimensional Benchmark for Evaluating LLM Peer Reviewers
Ngoc Phan Phuoc Loc, Toan Huynh La Viet, Thanh Tran Khanh +8
The rapid growth in submissions to machine learning venues has strained the scientific peer-review system and intensified interest in LLM-based automated peer reviewers. However, h…
SPAR: Session-based Pipeline for Adaptive Retrieval on Legacy File Systems
Duy A. Nguyen, Hai H. Do, Minh Doan +1
The ability to extract value from historical data is essential for enterprise decision-making. However, much of this information remains inaccessible within large legacy file syste…
Robult: Leveraging Redundancy and Modality Specific Features for Robust Multimodal Learning
Duy A. Nguyen, Abhi Kamboj, Minh N. Do
Addressing missing modalities and limited labeled data is crucial for advancing robust multimodal learning. We propose Robult, a scalable framework designed to mitigate these chall…
Are you SURE? Enhancing Multimodal Pretraining with Missing Modalities through Uncertainty Estimation
Duy A. Nguyen, Quan Huu Do, Khoa D. Doan +1
Multimodal learning has demonstrated incredible successes by integrating diverse data sources, yet it often relies on the availability of all modalities - an assumption that rarely…