4 citations · 9 across the 8 of their papers we have counts for
9 papers
J-Miner: Recovering Executable Decision Knowledge from Language-Model Classifiers
Yunfan Gao, Xinyi Huang, Tao Sheng +3
Large language models can be fine-tuned into specialized classifiers that perform well across diverse text tasks and make complex judgments, but they typically expose only final la…
Hierarchical Textual Knowledge for Enhanced Image Clustering
Yijie Zhong, Yunfan Gao, Weipeng Jiang +1
Image clustering aims to group images in an unsupervised fashion. Traditional methods focus on knowledge from visual space, making it difficult to distinguish between visually simi…
HingeMem: Boundary Guided Long-Term Memory with Query Adaptive Retrieval for Scalable Dialogues
Yijie Zhong, Yunfan Gao, Haofen Wang
Long-term memory is critical for dialogue systems that support continuous, sustainable, and personalized interactions. However, existing methods rely on continuous summarization or…
Embodied Science: Closing the Discovery Loop with Agentic Embodied AI
Xiang Zhuang, Chenyi Zhou, Kehua Feng +10
Artificial intelligence has demonstrated remarkable capability in predicting scientific properties, yet scientific discovery remains an inherently physical, long-horizon pursuit go…
CitySeeker: How Do VLMS Explore Embodied Urban Navigation With Implicit Human Needs?
Siqi Wang, Chao Liang, Yunfan Gao +5
Vision-Language Models (VLMs) have made significant progress in explicit instruction-based navigation; however, their ability to interpret implicit human needs (e.g., "I am thirsty…
Synergizing RAG and Reasoning: A Systematic Review
Yunfan Gao, Yun Xiong, Yijie Zhong +3
Recent breakthroughs in large language models (LLMs), particularly in reasoning capabilities, have propelled Retrieval-Augmented Generation (RAG) to unprecedented levels. By synerg…