X-LeBench: A Benchmark for Extremely Long Egocentric Video Understanding
Published in Conference on Empirical Methods in Natural Language Processing (EMNLP) 2025 — Findings, 2025
Recommended citation: Zhou, W., Cao, K., Zheng, H., Zheng, X., Liu, M., Kristensson, P.O., Mayol-Cuevas, W., Zhang, F., Lin, W., Shen, J. (2025). X-LeBench: A Benchmark for Extremely Long Egocentric Video Understanding. In Conference on Empirical Methods in Natural Language Processing (Findings). https://arxiv.org/abs/2501.06835
Wenqi Zhou, Kai Cao, Hao Zheng, Xinyi Zheng, Meiyi Liu, Per Ola Kristensson, Walterio Mayol-Cuevas, Feng Zhang, Wei Lin, Junxiao Shen
Comprehensive benchmark for evaluating AI models on extremely long egocentric video sequences, addressing challenges in temporal video understanding.