Pei-Sze Tan

Models trained on the new EquiME dataset achieve competitive performance across established benchmarks, highlighting the power of synthetic data in advancing micro-expression recognition.

LLM-distilled procedural summaries, when combined with traditional dense retrieval, unlock significant gains in materials science question answering, outperforming paragraph-only retrieval.