2 papers
cs.CV2026
TennisTV: Do Multimodal Large Language Models Understand Tennis Rallies?
Zhongyuan Bao, Lejun Zhang
Multimodal large language models (MLLMs) excel at general video understanding but struggle with fast, high-frequency sports like tennis, where rally clips are short yet information…
cs.LG2026
Lotus: Efficient LLM Training by Randomized Low-Rank Gradient Projection with Adaptive Subspace Switching
Tianhao Miao, Zhongyuan Bao, Lejun Zhang
Training efficiency in large-scale models is typically assessed through memory consumption, training time, and model performance. Current methods often exhibit trade-offs among the…