الباحثون

Shanshan Ye

المنشورات 2

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SquidAgent: Parallelize Wisely, Coordinate Efficiently

Yexiong Lin, Shanshan Ye, Yu Yao وآخرون · 2026

LLM-based agents solve complex multi-step tasks, but sequential execution incurs substantial latency. In principle, parallelizing work across multiple agents should yield near-linear speedups. Yet existing parallel multi-agent systems often run slower than a single-agent baseline. We attribute this gap to two hidden co …

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On Unlearning for Time-series Forecasting

Zeyu Shi, Yanhui Luo, Ziming Hong وآخرون · 2026

Time-series forecasting is widely used in sensitive domains. Models in these settings are often trained on longitudinal user- or entity-level records, which may later require removal because they contain sensitive or proprietary information or have been corrupted by sensor failures. To address such deletion requests wi …

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