2 citations · 6 across the 13 of their papers we have counts for
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cs.CL2026
ReFilter: Improving Robustness of Retrieval-Augmented Generation via Gated Filter
Yixin Chen, Ying Xiong, Shangyu Wu +3
Retrieval-augmented generation (RAG) has become a dominant paradigm for grounding large language models (LLMs) with external evidence in knowledge-intensive question answering. A c…
cs.MA2026★ 1 cited
ClawMobile: Rethinking Smartphone-Native Agentic Systems
Hongchao Du, Shangyu Wu, Qiao Li +4
Smartphones represent a uniquely challenging environment for agentic systems. Unlike cloud or desktop settings, mobile devices combine constrained execution contexts, fragmented co…
cs.OS2026
ContiguousKV: Accelerating LLM Prefill with Granularity-Aligned KV Cache Management
Jing Zou, Shangyu Wu, Hancong Duan +2
Efficiently serving Large Language Models (LLMs) with persistent Prefix Key-Value (KV) Cache is critical for applications like conversational search and multi-turn dialogue. Servin…