95 citations · 110 across the 5 of their papers we have counts for
5 papers
DeepSeek LLM: Scaling Open-Source Language Models with Longtermism
DeepSeek-AI, :, Xiao Bi +85
The rapid development of open-source large language models (LLMs) has been truly remarkable. However, the scaling law described in previous literature presents varying conclusions,…
Private-Library-Oriented Code Generation with Large Language Models
Daoguang Zan, Bei Chen, Yongshun Gong +6
Large language models (LLMs), such as Codex and GPT-4, have recently showcased their remarkable code generation abilities, facilitating a significant boost in coding efficiency. Th…
Multi-stage Neural Networks: Function Approximator of Machine Precision
Yongji Wang, Ching-Yao Lai
Deep learning techniques are increasingly applied to scientific problems, where the precision of networks is crucial. Despite being deemed as universal function approximators, neur…
Hierarchical and Contrastive Representation Learning for Knowledge-aware Recommendation
Bingchao Wu, Yangyuxuan Kang, Daoguang Zan +2
Incorporating knowledge graph into recommendation is an effective way to alleviate data sparsity. Most existing knowledge-aware methods usually perform recursive embedding propagat…
Incremental Collaborative Filtering Considering Temporal Effects
Yongji Wang, Xiaofeng Liao, Hu Wu +1
Recommender systems require their recommendation algorithms to be accurate, scalable and should handle very sparse training data which keep changing over time. Inspired by ant colo…