cs.AI（2024-07-03）

📊 共 10 篇论文 | 🔗 1 篇有代码

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支柱九：具身大模型 (Embodied Foundation Models) (7 🔗1) 支柱二：RL算法与架构 (RL & Architecture) (3)

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

#题目一句话要点标签🔗⭐
1 MedPix 2.0: A Comprehensive Multimodal Biomedical Data set for Advanced AI Applications with Retrieval Augmented Generation and Knowledge Graphs 构建MedPix 2.0多模态医学数据集，并结合RAG与知识图谱提升医学决策支持系统性能。 multimodal
2 Scaling Data-Driven Building Energy Modelling using Large Language Models 利用大型语言模型扩展数据驱动的建筑能源建模 large language model
3 Large Language Model Agents for Improving Engagement with Behavior Change Interventions: Application to Digital Mindfulness 利用大语言模型智能体提升数字冥想行为干预的用户参与度 large language model
4 GraCoRe: Benchmarking Graph Comprehension and Complex Reasoning in Large Language Models GraCoRe：构建图理解与复杂推理能力的大语言模型评测基准 large language model ✅
5 ConCodeEval: Evaluating Large Language Models for Code Constraints in Domain-Specific Languages ConCodeEval：评估大型语言模型在特定领域语言中代码约束的理解能力 large language model
6 Soft Begging: Modular and Efficient Shielding of LLMs against Prompt Injection and Jailbreaking based on Prompt Tuning 提出基于Prompt Tuning的“软乞讨”方法，高效防御LLM的Prompt注入和越狱攻击 large language model
7 A Comparative Study of DSL Code Generation: Fine-Tuning vs. Optimized Retrieval Augmentation 优化检索增强生成，提升领域特定语言代码生成效果，媲美微调模型。 large language model

🔬 支柱二：RL算法与架构 (RL & Architecture) (3 篇)

#题目一句话要点标签🔗⭐
8 Towards Attention-based Contrastive Learning for Audio Spoof Detection 提出基于注意力机制的对比学习框架SSAST-CL，用于提升音频欺骗检测性能。 representation learning contrastive learning
9 TheoremLlama: Transforming General-Purpose LLMs into Lean4 Experts TheoremLlama：将通用LLM转化为Lean4专家，提升形式化定理证明能力 curriculum learning large language model
10 xApp Distillation: AI-based Conflict Mitigation in B5G O-RAN 提出xApp蒸馏方法，解决B5G O-RAN中多xApp间的冲突问题 distillation

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