10 citations · 23 across the 5 of their papers we have counts for
5 papers
CA-BERT: Leveraging Context Awareness for Enhanced Multi-Turn Chat Interaction
Minghao Liu, Mingxiu Sui, Yi Nan +2
Effective communication in automated chat systems hinges on the ability to understand and respond to context. Traditional models often struggle with determining when additional con…
Theoretical Analysis of Meta Reinforcement Learning: Generalization Bounds and Convergence Guarantees
Cangqing Wang, Mingxiu Sui, Dan Sun +2
This research delves deeply into Meta Reinforcement Learning (Meta RL) through a exploration focusing on defining generalization limits and ensuring convergence. By employing a app…
Adapting LLMs for Efficient Context Processing through Soft Prompt Compression
Cangqing Wang, Yutian Yang, Ruisi Li +5
The rapid advancement of Large Language Models (LLMs) has inaugurated a transformative epoch in natural language processing, fostering unprecedented proficiency in text generation,…
Enhancing Multi-Hop Knowledge Graph Reasoning through Reward Shaping Techniques
Chen Li, Haotian Zheng, Yiping Sun +5
In the realm of computational knowledge representation, Knowledge Graph Reasoning (KG-R) stands at the forefront of facilitating sophisticated inferential capabilities across multi…
Intelligent Agricultural Greenhouse Control System Based on Internet of Things and Machine Learning
Cangqing Wang, Jiangchuan Gong
This study endeavors to conceptualize and execute a sophisticated agricultural greenhouse control system grounded in the amalgamation of the Internet of Things (IoT) and machine le…