2 papers were presented at this group meeting.
| Paper and research focus | Presenter | Publication | Resources |
|---|---|---|---|
LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of large language models本文提出 LLM-Adapters 框架,集成多种适配器实现 LLM 的参数高效微调,并通过实证研究验证了其在推理任务上的有效性,发现小模型经适配后可媲美甚至超越大模型。 | arXiv 2023-03 | Not available | |
Electric vehicle charging demand forecasting model based on big data technologies本研究提出一种基于大数据技术的电动汽车充电需求预测模型,整合历史真实交通数据和天气数据,通过聚类分析、关联分析和决策树建立预测 框架。 | Applied Energy 2016-12 | Not available |