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20232026
most citedTEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting

36 citations · 38 across the 11 of their papers we have counts for

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cs.SE2025

U2F: Encouraging SWE-Agent to Seize Novelty without Losing Feasibility

Wencheng Ye, Yan Liu

Large language models (LLMs) have shown strong capabilities in software engineering tasks, yet most existing LLM-based SWE-Agents mainly tackle well-defined problems using conventi…