Runpeng Dai

CoGR redefines retrieval by enabling LLMs to co-evolve query and item representations, leading to unprecedented gains in matching performance.

IDA-OPD not only boosts diversity in distilled models but does so while cutting computational costs, challenging the notion that more data always leads to better performance.

GAttNHP achieves remarkable improvements in event forecasting accuracy, particularly for long-tail event chains, by leveraging group attention mechanisms and robust quantile regression.

Reinforcement learning can significantly enhance adaptive sampling in large language models, leading to better performance with fewer resources.