3 papers
cs.LG2025
Large EEG-U-Transformer for Time-Step Level Detection Without Pre-Training
Kerui Wu, Ziyue Zhao, Bülent Yener
Electroencephalography (EEG) reflects the brain's functional state, making it a crucial tool for diverse detection applications like seizure detection and sleep stage classificatio…
cs.AI2025
ZeroSumEval: Scaling LLM Evaluation with Inter-Model Competition
Haidar Khan, Hisham A. Alyahya, Yazeed Alnumay +2
Evaluating the capabilities of Large Language Models (LLMs) has traditionally relied on static benchmark datasets, human assessments, or model-based evaluations - methods that ofte…
cs.CL2025
ZeroSumEval: An Extensible Framework For Scaling LLM Evaluation with Inter-Model Competition
Hisham A. Alyahya, Haidar Khan, Yazeed Alnumay +2
We introduce ZeroSumEval, a dynamic, competition-based, and evolving evaluation framework for Large Language Models (LLMs) that leverages competitive games. ZeroSumEval encompasses…