24 citations · 87 across the 13 of their papers we have counts for
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cs.LG2025
The emergence of sparse attention: impact of data distribution and benefits of repetition
Nicolas Zucchet, Francesco d'Angelo, Andrew K. Lampinen +1
Emergence is a fascinating property of large language models and neural networks more broadly: as models scale and train for longer, they sometimes develop new abilities in sudden…
cs.CL2025★ 1 cited
How do language models learn facts? Dynamics, curricula and hallucinations
Nicolas Zucchet, Jörg Bornschein, Stephanie Chan +3
Large language models accumulate vast knowledge during pre-training, yet the dynamics governing this acquisition remain poorly understood. This work investigates the learning dynam…