4 papers
SPA: Towards A Computational Friendly Cloud-Base and On-Devices Collaboration Seq2seq Personalized Generation with Casual Inference
Yanming Liu, Xinyue Peng, Ningjing Sang +10
Large language models(LLMs) have shown its outperforming ability on various tasks and question answering. However, LLMs require substantial memory storage on low-resource devices.…
Enhancing Coreference Resolution with Pretrained Language Models: Bridging the Gap Between Syntax and Semantics
Xingzu Liu, Songhang deng, Mingbang Wang +4
Large language models have made significant advancements in various natural language processing tasks, including coreference resolution. However, traditional methods often fall sho…
End-to-End Dialog Neural Coreference Resolution: Balancing Efficiency and Accuracy in Large-Scale Systems
Zhang Dong, Songhang deng, Mingbang Wang +4
Large-scale coreference resolution presents a significant challenge in natural language processing, necessitating a balance between efficiency and accuracy. In response to this cha…
Cross-Document Contextual Coreference Resolution in Knowledge Graphs
Zhang Dong, Mingbang Wang, Songhang deng +4
Coreference resolution across multiple documents poses a significant challenge in natural language processing, particularly within the domain of knowledge graphs. This study introd…