cs.AI（2023-11-13）

📊 共 9 篇论文

🎯 兴趣领域导航

支柱九：具身大模型 (Embodied Foundation Models) (6) 支柱二：RL算法与架构 (RL & Architecture) (2) 支柱一：机器人控制 (Robot Control) (1)

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

#	题目	一句话要点	标签	🔗	⭐
1	Applying Large Language Models for Causal Structure Learning in Non Small Cell Lung Cancer	应用大型语言模型解决非小细胞肺癌因果结构学习问题	large language model
2	A Benchmark to Understand the Role of Knowledge Graphs on Large Language Model's Accuracy for Question Answering on Enterprise SQL Databases	提出知识图谱提升LLM在企业SQL数据库问答准确性	large language model
3	Generalization Analogies: A Testbed for Generalizing AI Oversight to Hard-To-Measure Domains	提出GENIES基准以解决AI反馈泛化问题	instruction following
4	Enabling High-Level Machine Reasoning with Cognitive Neuro-Symbolic Systems	提出认知神经符号系统以解决高层次机器推理问题	large language model
5	Past as a Guide: Leveraging Retrospective Learning for Python Code Completion	提出PaG方法以提升Python代码补全能力	large language model
6	Pruning random resistive memory for optimizing analogue AI	提出软件-硬件协同设计以优化模拟AI中的随机电阻存储器	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	Reinforcement Learning for Solving Stochastic Vehicle Routing Problem	提出强化学习框架以解决随机车辆路径问题	reinforcement learning
8	C-Procgen: Empowering Procgen with Controllable Contexts	提出C-Procgen以解决程序生成环境的透明性与适应性问题	reinforcement learning curriculum learning

🔬 支柱一：机器人控制 (Robot Control) (1 篇)

#	题目	一句话要点	标签	🔗	⭐
9	AGRAMPLIFIER: Defending Federated Learning Against Poisoning Attacks Through Local Update Amplification	提出AGAMPLIFIER以解决联邦学习中的中毒攻击问题	manipulation

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