We introduce FEEL, a benchmarking study evaluating 19 emotion datasets based on physiological signals, uncovering key insights into their generalizability and cross-dataset transferability.

ClinBench is an open-source, multi-model, multi-domain framework for rigorously benchmarking large language models on clinical information-extraction tasks.

We propose a model-free data selection method to address domain adaptation problem for graph classification.