4 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.AI2026
RubricBench: Aligning Model-Generated Rubrics with Human Standards
Qiyuan Zhang, Junyi Zhou, Yufei Wang +8
As Large Language Model (LLM) alignment evolves from simple completions to complex, highly sophisticated generation, Reward Models are increasingly shifting toward rubric-guided ev…
cs.IR2019★ 4 cited
Hierarchical Gating Networks for Sequential Recommendation
Chen Ma, Peng Kang, Xue Liu
The chronological order of user-item interactions is a key feature in many recommender systems, where the items that users will interact may largely depend on those items that user…
cs.IR2018
Gated Attentive-Autoencoder for Content-Aware Recommendation
Chen Ma, Peng Kang, Bin Wu +2
The rapid growth of Internet services and mobile devices provides an excellent opportunity to satisfy the strong demand for the personalized item or product recommendation. However…