cs.AI(2025-10-17)

📊 共 7 篇论文

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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)

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

#题目一句话要点标签🔗
1 Exploring the Synergy of Quantitative Factors and Newsflow Representations from Large Language Models for Stock Return Prediction 融合量化因子与大语言模型新闻流表征,提升股票收益预测精度 large language model multimodal
2 Publication Trend Analysis and Synthesis via Large Language Model: A Case Study of Engineering in PNAS 提出基于LLM的框架,用于量化主题趋势并绘制科学知识演变图谱 large language model
3 Zero-Shot Coordination in Ad Hoc Teams with Generalized Policy Improvement and Difference Rewards 提出GPAT算法,通过广义策略提升和差异奖励实现Ad Hoc团队零样本协作 zero-shot transfer
4 Unleashing Scientific Reasoning for Bio-experimental Protocol Generation via Structured Component-based Reward Mechanism 提出Thoth,利用结构化奖励机制生成生物实验协议,提升可复现性。 large language model
5 BeLLMan: Controlling LLM Congestion BeLLMan:通过主动控制LLM输出长度缓解拥塞,降低延迟和能耗。 large language model
6 Multi-dimensional Data Analysis and Applications Basing on LLM Agents and Knowledge Graph Interactions 提出基于LLM Agent与知识图谱交互的多维数据分析方法,用于产品生态分析。 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 Hypergraph Contrastive Sensor Fusion for Multimodal Fault Diagnosis in Induction Motors 提出多模态超图对比注意力网络MM-HCAN,用于电机多故障诊断。 contrastive learning multimodal

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