2 citations · 2 across the 5 of their papers we have counts for
5 papers
Tree of Agents: Improving Long-Context Capabilities of Large Language Models through Multi-Perspective Reasoning
Song Yu, Xiaofei Xu, Ke Deng +2
Large language models (LLMs) face persistent challenges when handling long-context tasks, most notably the lost in the middle issue, where information located in the middle of a lo…
Enhance Large Language Models as Recommendation Systems with Collaborative Filtering
Zhisheng Yang, Xiaofei Xu, Ke Deng +1
As powerful tools in Natural Language Processing (NLP), Large Language Models (LLMs) have been leveraged for crafting recommendations to achieve precise alignment with user prefere…
Enhancing the Traditional Chinese Medicine Capabilities of Large Language Model through Reinforcement Learning from AI Feedback
Song Yu, Xiaofei Xu, Fangfei Xu +1
Although large language models perform well in understanding and responding to user intent, their performance in specialized domains such as Traditional Chinese Medicine (TCM) rema…
An Improved Historical Embedding without Alignment
Xiaofei Xu, Ke Deng, Fei Hu +1
Many words have evolved in meaning as a result of cultural and social change. Understanding such changes is crucial for modelling language and cultural evolution. Low-dimensional e…
A Fast Pseudo-Stochastic Sequential Cipher Generator Based on RBMs
Fei Hu, Xiaofei Xu, Tao Peng +2
Based on Restricted Boltzmann Machines (RBMs), an improved pseudo-stochastic sequential cipher generator is proposed. It is effective and efficient because of the two advantages: t…