Cong Fu

OneRank achieves superior multi-task recommendation performance by seamlessly integrating task-specific learning within a unified Transformer framework, eliminating the traditional encoder-predictor bottleneck.

By grounding reasoning within the topology of a global interaction graph, ManCAR achieves up to 46.88% relative improvement in NDCG@10 compared to state-of-the-art sequential recommendation baselines.