4 citations · 8 across the 8 of their papers we have counts for
9 papers
R4DSG: Relative 4D Scene Graph Memory for Object-Centric Question Answering in Long Egocentric Video
Ke Ma, Yamin Mao, Weiming Li +5
Long-horizon egocentric video is a rich substrate for wearable AI assistants, but object-centric questions such as where an item was moved, when it last changed state, or why it wa…
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…
AnimeAgent: Is the Multi-Agent via Image-to-Video models a Good Disney Storytelling Artist?
Hailong Yan, Shice Liu, Tao Wang +5
Custom Storyboard Generation (CSG) aims to produce high-quality, multi-character consistent storytelling. Current approaches based on static diffusion models, whether used in a one…
Scene-Aware Memory Discrimination: Deciding Which Personal Knowledge Stays
Yijie Zhong, Mengying Guo, Zewei Wang +3
Intelligent devices have become deeply integrated into everyday life, generating vast amounts of user interactions that form valuable personal knowledge. Efficient organization of…
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…
U-NIAH: Unified RAG and LLM Evaluation for Long Context Needle-In-A-Haystack
Yunfan Gao, Yun Xiong, Wenlong Wu +3
Recent advancements in Large Language Models (LLMs) have expanded their context windows to unprecedented lengths, sparking debates about the necessity of Retrieval-Augmented Genera…
Towards Proactive Interactions for In-Vehicle Conversational Assistants Utilizing Large Language Models
Huifang Du, Xuejing Feng, Jun Ma +5
Research demonstrates that the proactivity of in-vehicle conversational assistants (IVCAs) can help to reduce distractions and enhance driving safety, better meeting users' cogniti…