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cs.IR2026
Clarify-Then-Search: A Clarification Benchmark for Deep Search with End-to-End Nugget Restoration
Deqiang Huang, Jingbo Zhou, Xinjiang Lu +3
Deep search is brittle on underspecified user queries: missing constraints such as time, location, scope, or definitions can lead to retrieval drift and incomplete answers. We intr…
cs.IR2024★ 1 cited
Warming Up Cold-Start CTR Prediction by Learning Item-Specific Feature Interactions
Yaqing Wang, Hongming Piao, Daxiang Dong +2
In recommendation systems, new items are continuously introduced, initially lacking interaction records but gradually accumulating them over time. Accurately predicting the click-t…