cs.CL(2024-12-07)

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支柱九:具身大模型 (Embodied Foundation Models) (7 🔗1)

🔬 支柱九:具身大模型 (Embodied Foundation Models) (7 篇)

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1 A Survey on Uncertainty Quantification of Large Language Models: Taxonomy, Open Research Challenges, and Future Directions 综述:大语言模型不确定性量化方法,挑战与未来方向 large language model
2 A polar coordinate system represents syntax in large language models 提出Polar Probe,利用极坐标系揭示大语言模型中的句法结构表示。 large language model
3 On the effective transfer of knowledge from English to Hindi Wikipedia 提出轻量级框架,利用大语言模型提升英语到印地语维基百科的知识迁移效果。 large language model
4 A Comparative Study on Code Generation with Transformers 研究Transformer架构在代码生成中的性能差异与鲁棒性 large language model
5 Semantic Loss Guided Data Efficient Supervised Fine Tuning for Safe Responses in LLMs 提出语义损失引导的数据高效监督微调方法,提升LLM安全性 large language model
6 Shifting NER into High Gear: The Auto-AdvER Approach Auto-AdvER:面向汽车广告领域的命名实体识别专用数据集与方法 large language model
7 LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods 全面综述:基于大型语言模型(LLM)的评估方法研究 large language model

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