9 citations · 15 across the 7 of their papers we have counts for
4 papers · 1 filter
Geo-LLaVA: A Large Multi-Modal Model for Solving Geometry Math Problems with Meta In-Context Learning
Shihao Xu, Yiyang Luo, Wei Shi
Geometry mathematics problems pose significant challenges for large language models (LLMs) because they involve visual elements and spatial reasoning. Current methods primarily rel…
Crafting Personalized Agents through Retrieval-Augmented Generation on Editable Memory Graphs
Zheng Wang, Zhongyang Li, Zeren Jiang +2
In the age of mobile internet, user data, often referred to as memories, is continuously generated on personal devices. Effectively managing and utilizing this data to deliver serv…
M-RAG: Reinforcing Large Language Model Performance through Retrieval-Augmented Generation with Multiple Partitions
Zheng Wang, Shu Xian Teo, Jieer Ouyang +2
Retrieval-Augmented Generation (RAG) enhances Large Language Models (LLMs) by retrieving relevant memories from an external database. However, existing RAG methods typically organi…
Multimodal Query Suggestion with Multi-Agent Reinforcement Learning from Human Feedback
Zheng Wang, Bingzheng Gan, Wei Shi
In the rapidly evolving landscape of information retrieval, search engines strive to provide more personalized and relevant results to users. Query suggestion systems play a crucia…