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cs.LG2026
Test-Time Scaling Makes Overtraining Compute-Optimal
Nicholas Roberts, Sungjun Cho, Zhiqi Gao +7
Modern LLMs scale at test-time, e.g. via repeated sampling, where inference cost grows with model size and the number of samples. This creates a trade-off that pretraining scaling…
cs.LG2022
Evaluating How Fine-tuning on Bimodal Data Effects Code Generation
Gabriel Orlanski, Seonhye Yang, Michael Healy
Despite the increase in popularity of language models for code generation, it is still unknown how training on bimodal coding forums affects a model's code generation performance a…