cs.CL(2024-08-17)

📊 共 7 篇论文 | 🔗 1 篇有代码

🎯 兴趣领域导航

支柱九:具身大模型 (Embodied Foundation Models) (6 🔗1) 支柱二:RL算法与架构 (RL & Architecture) (1)

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

#题目一句话要点标签🔗
1 Architectural Foundations for the Large Language Model Infrastructures 探讨大语言模型基础设施架构,为高效LLM开发提供指导 large language model
2 Chinese Metaphor Recognition Using a Multi-stage Prompting Large Language Model 提出多阶段Prompt框架,增强LLM在中文隐喻识别中对Tenor、Vehicle和Ground的理解能力。 large language model
3 CogLM: Tracking Cognitive Development of Large Language Models CogLM:构建认知能力评估基准,追踪大型语言模型的认知发展水平 large language model
4 Sentiment analysis of preservice teachers' reflections using a large language model 利用大型语言模型分析职前教师反思的情感倾向,探索质化、量化与计算分析的融合 large language model
5 CyberPal.AI: Empowering LLMs with Expert-Driven Cybersecurity Instructions CyberPal.AI:利用专家驱动的指令增强LLM在网络安全领域的应用 large language model
6 CodeTaxo: Enhancing Taxonomy Expansion with Limited Examples via Code Language Prompts CodeTaxo:利用代码语言提示增强小样本下的分类体系扩展 large language model

🔬 支柱二:RL算法与架构 (RL & Architecture) (1 篇)

#题目一句话要点标签🔗
7 ConVerSum: A Contrastive Learning-based Approach for Data-Scarce Solution of Cross-Lingual Summarization Beyond Direct Equivalents 提出ConVerSum,利用对比学习解决跨语言摘要在数据稀缺场景下的难题。 contrastive learning large language model

⬅️ 返回 cs.CL 首页 · 🏠 返回主页