12 citations · 26 across the 7 of their papers we have counts for
4 papers · 1 filter
RE-SORT: Removing Spurious Correlation in Multilevel Interaction for CTR Prediction
Song-Li Wu, Liang Du, Jia-Qi Yang +4
Click-through rate (CTR) prediction is a critical task in recommendation systems, serving as the ultimate filtering step to sort items for a user. Most recent cutting-edge methods…
BatchPrompt: Accomplish more with less
Jianzhe Lin, Maurice Diesendruck, Liang Du +1
As the ever-increasing token limits of large language models (LLMs) have enabled long context as input, prompting with single data samples might no longer an efficient way. A strai…
DELTA: Dynamic Embedding Learning with Truncated Conscious Attention for CTR Prediction
Chen Zhu, Liang Du, Hong Chen +4
Click-Through Rate (CTR) prediction is a pivotal task in product and content recommendation, where learning effective feature embeddings is of great significance. However, traditio…
Rethinking Precision of Pseudo Label: Test-Time Adaptation via Complementary Learning
Jiayi Han, Longbin Zeng, Liang Du +2
In this work, we propose a novel complementary learning approach to enhance test-time adaptation (TTA), which has been proven to exhibit good performance on testing data with distr…