cs.CL(2025-01-18)

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

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

#题目一句话要点标签🔗
1 Zero-shot and Few-shot Learning with Instruction-following LLMs for Claim Matching in Automated Fact-checking 利用指令跟随LLM进行零样本和少样本学习,解决自动化事实核查中的声明匹配问题 large language model instruction following
2 BAP v2: An Enhanced Task Framework for Instruction Following in Minecraft Dialogues 提出BAP v2以解决Minecraft对话中的指令跟随问题 multimodal instruction following
3 Fanar: An Arabic-Centric Multimodal Generative AI Platform Fanar:一个以阿拉伯语为中心的多模态生成式AI平台 large language model multimodal
4 Development of Application-Specific Large Language Models to Facilitate Research Ethics Review 开发特定领域大语言模型以辅助研究伦理审查 large language model
5 Harnessing the Potential of Large Language Models in Modern Marketing Management: Applications, Future Directions, and Strategic Recommendations 探讨大型语言模型在现代营销管理中的应用与未来方向 large language model
6 Latent-space adversarial training with post-aware calibration for defending large language models against jailbreak attacks LATPC:基于潜在空间对抗训练与后验校准防御大语言模型越狱攻击 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 DNA 1.0 Technical Report DNA 1.0:面向韩英双语优化的80亿参数指令微调语言模型 DPO direct preference optimization distillation

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