most citedGorgeous: Revisiting the Data Layout for Disk-Resident High-Dimensional Vector Search

1 citations · 1 across the 5 of their papers we have counts for

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5 papers

cs.CV2026

CAM: Question Answering on Entity-Centric Videos with Continuous Extraction and Adaptive Querying

Yizhou Tian, Zizhe Chen, Shiyuan Deng +7

Memory facilitates question answering over long videos by extracting and retrieving facts to fit within the limited context windows of multimodal LLMs (MLLMs). Existing solutions t…

cs.CL2026

Metis: Bridging Text and Code Memory for Self-Evolving Agents

Zijie Dai, Siuhin He, Hui Li +9

Self-evolving agents improve over time by distilling experience from past executions and reusing it in future tasks. Existing systems represent such experience either as natural-la…

cs.CL2026

RecMem: Recurrence-based Memory Consolidation for Efficient and Effective Long-Running LLM Agents

Zijie Dai, Shiyuan Deng, Sheng Guan +4

Memory systems often organize user-agent interactions as retrievable external memory and are crucial for long-running agents by overcoming the limited context windows of LLMs. Howe…

cs.DB2025★ 1 cited

Gorgeous: Revisiting the Data Layout for Disk-Resident High-Dimensional Vector Search

Peiqi Yin, Xiao Yan, Qihui Zhou +6

Similarity-based vector search underpins many important applications, but a key challenge is processing massive vector datasets (e.g., in TBs). To reduce costs, some systems utiliz…

cs.IR2025

KBest: Efficient Vector Search on Kunpeng CPU

Kaihao Ma, Meiling Wang, Senkevich Oleg +19

Vector search, which returns the vectors most similar to a given query vector from a large vector dataset, underlies many important applications such as search, recommendation, and…