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cs.AI2026
Task-Level Natural Language Priors as Learning Signals for Low-Resource LLM Training
Jian Gao, Xiao Zhang, Xun Zhu +2
Large language models (LLMs) often struggle when low-resource training data are ambiguous or incomplete. Task-level natural-language priors can provide useful guidance in such sett…
cs.AI2026
FitAQA: A Benchmark of Fitness Action Quality Assessment for Multimodal Large Language Models
Kaili Zheng, Kaiwen Wang, Xun Zhu +3
Fitness Action Quality Assessment (AQA) is important for intelligent sports training, yet the capabilities of Multimodal Large Language Models (MLLMs) in this setting remain undere…