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cs.AI2025
Hierarchical Reasoning Models: Perspectives and Misconceptions
Renee Ge, Qianli Liao, Tomaso Poggio
Transformers have demonstrated remarkable performance in natural language processing and related domains, as they largely focus on sequential, autoregressive next-token prediction…
stat.ML2025
A universal compression theory for lottery ticket hypothesis and neural scaling laws
Hong-Yi Wang, Di Luo, Tomaso Poggio +2
When training large-scale models, the performance typically scales with the number of parameters and the dataset size according to a slow power law. A fundamental theoretical and p…