… scheme of benchmarking and thereby the unique benchmarking models that are … for
each type of benchmarking. Further it aims to propose a universal benchmarking model, …

… Universal PERformance Benchmark We establish and release Speech processing Universal
PERformance Benchmark … labeled data to effectively benchmark the generalizability of …

We introduce AudioBench, a universal benchmark designed to evaluate Audio Large Language
Models (AudioLLMs). It encompasses 8 distinct tasks and 26 datasets, among which, 7 …

… , we designed a new benchmarking protocol, … benchmarking protocol provides fairer
evaluations of camera calibration methods. By defining our requirements for proper benchmarking, …

… , recently introduced benchmarks. First, we propose a new multitask benchmark, RAINBOW,
… Last but not least, we introduce a new universal commonsense reasoning model, UNICORN…

… Our benchmark is a domain specific big data benchmark focusing on graph data only. We
need a flexible generator because we aim to assess graph systems using all potential graph …

… , and the absence of a universal and community-driven benchmark. To address this issue, …
Benchmark for universaL Evaluation, termed MARBLE. It aims to provide a benchmark for …

The emergence of large-scale high-quality datasets has stimulated the rapid development
of deep learning in recent years. However, most computer vision tasks focus on the visual …

… Firstly, it is desirable for the universal benchmarking method to have the highest reliability.
To ensure a complete coverage, the natural bounds, ± ∞ , can be employed. However, such …

… comprehensive review and a benchmark for light field SOD, … Secondly, we benchmark nine
representative light field SOD … Our supplemental data make a universal benchmark possible…