Dongliang Liao

Large Language Models (LLMs) have revolutionized relevance ranking, yet their deployment in high-concurrency search systems is stifled by a critical pathology: ''Attention Sink Drift.'' In standard causal attention, models disproportionately allocate weight to the initial document regardless of r...

In video search systems, user historical behaviors provide rich context for identifying search intent and resolving ambiguity. However, traditional methods utilizing implicit history features often suffer from signal dilution and delayed feedback. To address these challenges, we propose WeWrite,...