By Dr Matt Trinh

Preprints

Guan Y; Trinh VA; Voleti V; Whitehill J, 2025, MLLM-based Speech Recognition: When and How is Multimodality Beneficial?, http://dx.doi.org/10.48550/arxiv.2507.19037

Trinh VA; He X; Whitehill J, 2025, Improving Named Entity Transcription with Contextual LLM-based Revision, http://dx.doi.org/10.48550/arxiv.2506.10779

Guan Y; Trinh VA; Voleti V; Whitehill J, 2025, Multi-modal Speech Transformer Decoders: When Do Multiple Modalities Improve Accuracy?, http://dx.doi.org/10.48550/arxiv.2409.09221

Tang F; Trinh M; Duong A; Ly A; Stapleton F; Chen Z; Ge Z; Razzak I, 2024, Discriminating retinal microvascular and neuronal differences related to migraines: Deep Learning based Crossectional Study, http://dx.doi.org/10.48550/arxiv.2408.07293

Trinh VA; Southwell R; Guan Y; He X; Wang Z; Whitehill J, 2024, Discrete Multimodal Transformers with a Pretrained Large Language Model for Mixed-Supervision Speech Processing, http://dx.doi.org/10.48550/arxiv.2406.06582

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