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Mingxuan Yuan

2 papers indexed

arxivcs.ARcs.AI2026-07-24

Sparse by Command: Task-Conditional Compute Skipping for Multi-Task Inference Accelerators

Afzal Ahmad, Gaoyu Mao, Shoubo Hu, Hui-Ling Zhen, Mingxuan Yuan, Xinyu Chen, et al.

Multi-task inference models share a single backbone across diverse tasks, yet execute identical computation regardless of which task is active - wasting energy and cycles on task-irrelevant operations. We observe that the task command, typically available before inference begins,…

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arxivcs.AI2026-07-20

Retain or Consolidate? Budget-Dependent Operator Selection for Language Agent Memory

Qingcan Kang, Mingyang Liu, Shixiong Kai, Kaichao Liang, Zhentao Tang, Yuqi Cui, et al.

Language agents depend on memory across interactions. However, the limited context windows of large language models (LLMs) and their inference costs constrain how much memory can be used at once. Existing systems mainly follow two strategies: memory retention and memory consolida…

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