5 papers
FeLoG: Scalable and Efficient Distributed Graph Embedding with Feedback Loop Mechanism
Peng Fang, Arijit Khan, Ziqiang Wu +4
Graph embedding maps graph nodes into low-dimensional vectors to support applications such as recommendation, fraud detection, and graph-based retrieval-augmented generation (Graph…
ViCoStream: Streaming VideoLLMs Can Run Beyond 100 FPS with Stage-Wise Coordinated Inference
Yang Tan, Junlong Tong, Linan Yue +3
Streaming VideoLLMs must continuously process incoming video while maintaining low query latency, making both video-ingestion throughput and query-time responsiveness critical for…
CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models
Feiyang Li, Peng Fang, Zhan Shi +5
Chain-of-thought (CoT) reasoning boosts large language models' (LLMs) performance on complex tasks but faces two key limitations: a lack of reliability when solely relying on LLM-g…
Scavenger+: Revisiting Space-Time Tradeoffs in Key-Value Separated LSM-trees
Jianshun Zhang, Fang Wang, Jiaxin Ou +7
Key-Value Stores (KVS) based on log-structured merge-trees (LSM-trees) are widely used in storage systems but face significant challenges, such as high write amplification caused b…
Scavenger: Better Space-Time Trade-Offs for Key-Value Separated LSM-trees
Jianshun Zhang, Fang Wang, Sheng Qiu +6
Key-Value Stores (KVS) implemented with log-structured merge-tree (LSM-tree) have gained widespread acceptance in storage systems. Nonetheless, a significant challenge arises in th…