3 accepted papers
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
Large language models often face challenges in low-resource agglutinative language text summarization tasks due to poorly designed prompts, leading to core information dilution, reduced fidelity, and critical information loss caused by the complex grammatical structures of agglutinative languages. F
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