Qing-Dao-Er-Ji Ren — accepted AI-conference papers

2026

Constraint-Augmented Mongolian-Chinese Neural Machine Translation Based on Dynamic Feedback Alignment (Student Abstract)

Shuting Dai, Yatu Ji, Yanli Wang, Lei Shi, Qing-Dao-Er-Ji Ren, Nier Wu +1

AAAI 2026technical

The scarcity of parallel corpora for Mongolian and Chinese constrains the performance of Mongolian-Chinese neural machine translation (NMT), particularly manifesting in inadequate accuracy in translating specialized terminology. To address this limitation, this study adopts a lexically constrained a

Cited by 0 Source ↗PDF ↗Scholar ↗

2026

iCD: An Implicit Clustering Distillation Method for Structural Information Mining (Student Abstract)

Xiang Xue, Yatu Ji, Qing-Dao-Er-Ji Ren, Bao Shi, Min Lu, Nier Wu +3

AAAI 2026technical

Logit Knowledge Distillation has gained substantial research interest in recent years due to its simplicity and lack of requirement for intermediate feature alignment; however, it suffers from limited interpretability in its decision-making process. To address this, we propose implicit Clustering Di

Cited by 0 Source ↗PDF ↗Scholar ↗