Showing cs.CLShow all
2 papers · 1 filter
cs.CL2026
CodeAlchemy: Synthetic Code Rewriting at Scale
Ankit Gupta, Aditya Prasad, Rameswar Panda
Pre-training on raw code teaches syntax but provides sparse signal for diverse real-world task formats. While synthetic data has proven transformative for language models, code rem…
cs.CL2024
Power Scheduler: A Batch Size and Token Number Agnostic Learning Rate Scheduler
Yikang Shen, Matthew Stallone, Mayank Mishra +6
Finding the optimal learning rate for language model pretraining is a challenging task. This is not only because there is a complicated correlation between learning rate, batch siz…