cs.AI（2024-03-27）

📊 共 11 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) 支柱七：动作重定向 (Motion Retargeting) (1)

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

#题目一句话要点标签🔗⭐
1 A Path Towards Legal Autonomy: An interoperable and explainable approach to extracting, transforming, loading and computing legal information using large language models, expert systems and Bayesian networks 提出一种可解释的法律信息处理方法以实现法律自主性 large language model
2 Large Language Models Need Consultants for Reasoning: Becoming an Expert in a Complex Human System Through Behavior Simulation 提出MEOW框架以增强LLM在复杂人类系统中的推理能力 large language model
3 Leveraging Large Language Models for Fuzzy String Matching in Political Science 利用大型语言模型解决政治科学中的模糊字符串匹配问题 large language model
4 Exploring the Privacy Protection Capabilities of Chinese Large Language Models 提出三层次框架评估中文大语言模型的隐私保护能力 large language model
5 IDGenRec: LLM-RecSys Alignment with Textual ID Learning 提出IDGen以解决生成推荐中的文本ID编码问题 large language model foundation model ✅
6 What are human values, and how do we align AI to them? 提出道德图引导方法以解决AI与人类价值观对齐问题 large language model
7 A State-of-the-practice Release-readiness Checklist for Generative AI-based Software Products 提出生成式AI软件产品发布准备检查清单以解决集成挑战 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 Leveraging Large Language Models for Relevance Judgments in Legal Case Retrieval 提出一种新型方法利用大语言模型进行法律案件检索的相关性判断 distillation large language model
9 Intent-Aware DRL-Based NOMA Uplink Dynamic Scheduler for IIoT 提出基于深度强化学习的动态调度器以解决IIoT用户设备的QoS问题 reinforcement learning deep reinforcement learning DRL
10 Probabilistic Model Checking of Stochastic Reinforcement Learning Policies 提出一种方法以验证随机强化学习策略的有效性 reinforcement learning

🔬 支柱七：动作重定向 (Motion Retargeting) (1 篇)

#题目一句话要点标签🔗⭐
11 LC-LLM: Explainable Lane-Change Intention and Trajectory Predictions with Large Language Models 提出LC-LLM以解决自动驾驶中的车道变换意图预测问题 motion prediction large language model chain-of-thought

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