cs.CL（2024-01-05）

📊 共 8 篇论文 | 🔗 2 篇有代码

🎯 兴趣领域导航

支柱九：具身大模型 (Embodied Foundation Models) (6 🔗2) 支柱二：RL算法与架构 (RL & Architecture) (2)

🔬 支柱九：具身大模型 (Embodied Foundation Models) (6 篇)

#题目一句话要点标签🔗⭐
1 PeFoMed: Parameter Efficient Fine-tuning of Multimodal Large Language Models for Medical Imaging 提出PeFoMed框架以高效微调多模态大语言模型解决医学成像问题 large language model multimodal ✅
2 Large Language Models in Plant Biology 利用大型语言模型分析植物生物学数据以提升预测能力 large language model foundation model
3 From LLM to Conversational Agent: A Memory Enhanced Architecture with Fine-Tuning of Large Language Models 提出RAISE框架以提升对话代理的上下文感知能力 large language model
4 Introducing Bode: A Fine-Tuned Large Language Model for Portuguese Prompt-Based Task 提出Bode模型以解决葡萄牙语LLM性能不足问题 large language model
5 MLLM-Protector: Ensuring MLLM's Safety without Hurting Performance 提出MLLM-Protector以解决多模态大语言模型安全问题 large language model multimodal
6 AST-T5: Structure-Aware Pretraining for Code Generation and Understanding 提出AST-T5以提升代码生成与理解能力 large language model ✅

🔬 支柱二：RL算法与架构 (RL & Architecture) (2 篇)

#题目一句话要点标签🔗⭐
7 DeepSeek LLM: Scaling Open-Source Language Models with Longtermism 提出DeepSeek LLM以解决开源语言模型扩展性问题 DPO direct preference optimization large language model
8 Unsupervised hard Negative Augmentation for contrastive learning 提出无监督硬负样本增强方法以提升对比学习效果 contrastive learning

⬅️ 返回 cs.CL 首页 · 🏠 返回主页