HF Daily Papers: 'Holistic Data Scheduler' Optimizes LLM Pre-training Data via Multi-Objective RL (200 Upvotes)

Hugging Face Daily Papers·medium signal

This paper (June 24, 200 upvotes) frames pre-training data selection as a multi-objective reinforcement-learning problem, scheduling which data to train on to balance competing objectives rather than using fixed heuristic mixes. It's more relevant to teams training foundation models than to app builders, but signals where data-curation research is heading. The strong upvote count reflects broad interest in squeezing more from pre-training data budgets.