cs.LG（2024-06-25）
📊 共 3 篇论文
🎯 兴趣领域导航
🔬 支柱九：具身大模型 (Embodied Foundation Models) (3 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 1 | LABOR-LLM: Language-Based Occupational Representations with Large Language Models | LABOR-LLM：利用大型语言模型进行基于语言的职业表征，预测职业变迁。 | large language model foundation model | ||
| 2 | FedBiOT: LLM Local Fine-tuning in Federated Learning without Full Model | FedBiOT：联邦学习中无需完整模型的LLM局部微调 | large language model | ||
| 3 | CDQuant: Greedy Coordinate Descent for Accurate LLM Quantization | CDQuant：基于贪婪坐标下降的高精度LLM量化方法 | large language model |