arXiv cs.LGPaper
Where Rounding Happens Matters: Rounding-Location Alignment Stabilizes LLM Reinforcement Learning
This is a surgical fix to a real problem: off-policy drift caused by numerical discrepancies between training and inference. The finding is specific and actionable. If you're training LLMs with RL and seeing instability in BF16, aligning RoPE rounding alone is an easy first experiment. Solid engineering research, tight scope.