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20232026
most citedRethinking Benchmark and Contamination for Language Models with Rephrased Samples

7 citations · 22 across the 18 of their papers we have counts for

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5 papers · 1 filter

cs.DC2026

DeepSeek Elastic Compute (DSec): A Sandbox Infrastructure for Effective Agentic Training at Scale

Jialiang Huang, Hongxuan Tang, Jingchang Chen +128

Large-scale agentic training and evaluation with large language models (LLMs) rely on isolated, stateful execution environments in which models inspect repositories, invoke tools,…

cs.DC2026

FreeToken: Efficient Edge-Native MoE Serving with Bandwidth-Adaptive Execution

Shuo Yang, Xiaoze Fan, Melissa Pan +8

Frontier open-weight models are increasingly available, but serving them still largely assumes datacenter infrastructure. We present FreeToken, an edge-native MoE serving system th…

cs.AR2026

NasZip: Software and Hardware Co-Design to Accelerate Approximate Nearest Neighbor Search with DIMM-Based Near-Data Processing

Cheng Zou, Shuo Yang, Chen Nie +6

As large language models (LLMs) continue to advance, retrieval-augmented generation (RAG) has become the key mechanism for expanding model knowledge and reducing hallucinations. Ce…

cs.DC2026

Flash-KMeans: Fast and Memory-Efficient Exact K-Means

Shuo Yang, Haocheng Xi, Yilong Zhao +10

-means has historically been positioned primarily as an offline processing primitive, typically used for dataset organization or embedding preprocessing rather than as a first-c…

cs.CV2026

SVG-EAR: Parameter-Free Linear Compensation for Sparse Video Generation via Error-aware Routing

Xuanyi Zhou, Qiuyang Mang, Shuo Yang +7

Diffusion Transformers (DiTs) have become a leading backbone for video generation, yet their quadratic attention cost remains a major bottleneck. Sparse attention reduces this cost…