16 citations · 17 across the 15 of their papers we have counts for
8 papers · 1 filter
RuleMem: Active Rule Memory for Long-Term Conversational Agents
Xingyuan Zeng, Zuohan Wu, Quanming Yao +5
Question answering agents in long-term conversations must reason over massive, temporally dispersed dialogue histories. However, existing memory mechanisms primarily treat past inf…
QV-PIC: Query-Aware Visual Position-Independent Caching for Efficient RAG Serving
Yilin Liu, Rui Meng, Wangze Ni +5
Retrieval-Augmented Generation (RAG) repeatedly prefills identical text chunks across queries, incurring redundant computations. Position-Independent Caching (PIC) mitigates it by…
UrbanAgent: A Tool-Augmented Agent for Cross-System Urban Tasks
Jiayu Cao, Xingyuan Zeng, feiyu Li +6
Modern cities rely on an increasing number of digital services to operate, but residents' daily needs are still difficult to meet. Services are fragmented and have little interoper…
Beyond Position Bias: Shifting Context Compression from Position-Driven to Semantic-Driven
Jiwei Tang, Zhijing Huang, Xinyu Zhang +5
Large Language Models (LLMs) have demonstrated exceptional performance across diverse tasks. However, their deployment in long-context scenarios faces high computational overhead a…
FactReview: Evidence-Grounded Peer Review with Execution-Based Claim Verification
Ling Yue, Chaoqian Ouyang, Hang Xu +8
AI is accelerating scientific research, but providing timely and trustworthy feedback remains challenging. Such feedback requires evaluating specific claims against verified eviden…
ToolRosella: Translating Code Repositories into Standardized Tools for Scientific Agents
Shimin Di, Xujie Yuan, Hanghui Guo +10
Large Language Model (LLM)-based agent systems are increasingly used for scientific tasks, yet their practical capability remains constrained by the narrow scope of manually curate…
DA-RAG: Dynamic Attributed Community Search for Retrieval-Augmented Generation
Xingyuan Zeng, Zuohan Wu, Yue Wang +4
Owing to their unprecedented comprehension capabilities, large language models (LLMs) have become indispensable components of modern web search engines. From a technical perspectiv…
CytoCrowd: A Multi-Annotator Benchmark Dataset for Cytology Image Analysis
Yonghao Si, Xingyuan Zeng, Zhao Chen +4
High-quality annotated datasets are crucial for advancing machine learning in medical image analysis. However, a critical gap exists: most datasets either offer a single, clean gro…