Geometric Regulation Prevents LLM Mode Collapse

A recent study published on arXiv introduces Reinforced Mode Regulation (RMR) as a solution to the issue of mode collapse in large language models. The researchers redefine mode collapse as geometric collapse, indicating that the model's internal trajectory is restricted to a low-dimensional area within the representation space. RMR serves as a minimal intervention that controls the prevailing self-reinforcing pathways in the Transformer value cache through low-rank damping. Tests conducted on various LLMs demonstrate a significant decrease in mode collapse.