Vu Nguyen

GAIA redefines online data selection for LLM instruction tuning, achieving superior performance by dynamically prioritizing high-utility samples across the entire semantic space.

TimeLAVA reveals that a learning-agnostic approach can significantly enhance data valuation in time series, outperforming traditional methods by effectively capturing temporal dynamics.

Separating sound scene and sound event deepfake detection as individual tasks dramatically improves performance, paving the way for more robust audio forensics.