cs.AI(2025-06-01)
📊 共 10 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)
支柱八:物理动画 (Physics-based Animation) (1)
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 | GeoChain: Multimodal Chain-of-Thought for Geographic Reasoning | GeoChain:用于地理推理的多模态思维链基准 | large language model multimodal visual grounding | ||
| 2 | Behavioral Augmentation of UML Class Diagrams: An Empirical Study of Large Language Models for Method Generation | 利用大型语言模型自动生成UML类图方法,加速软件设计迭代 | large language model | ||
| 3 | CoP: Agentic Red-teaming for Large Language Models using Composition of Principles | 提出CoP框架,通过组合原则驱动Agent进行大语言模型红队测试,提升安全性 | large language model | ||
| 4 | Enhancing LLM Reasoning for Time Series Classification by Tailored Thinking and Fused Decision | ReasonTSC:通过定制化推理和融合决策增强LLM在时间序列分类中的能力 | large language model | ||
| 5 | Do not Abstain! Identify and Solve the Uncertainty | 提出ConfuseBench,用于评估和提升大语言模型在不确定性场景下的识别与解决能力 | large language model | ||
| 6 | Optimizing RAG Pipelines for Arabic: A Systematic Analysis of Core Components | 针对阿拉伯语,系统分析RAG Pipeline核心组件并优化性能 | 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 | Jailbreak-R1: Exploring the Jailbreak Capabilities of LLMs via Reinforcement Learning | 提出Jailbreak-R1,利用强化学习提升LLM越狱攻击的有效性和多样性。 | reinforcement learning imitation learning large language model | ||
| 8 | Improving LLM Agents with Reinforcement Learning on Cryptographic CTF Challenges | 利用强化学习在密码学CTF挑战中提升LLM Agent性能 | reinforcement learning |
🔬 支柱八:物理动画 (Physics-based Animation) (1 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 9 | HouseTS: A Large-Scale, Multimodal Spatiotemporal U.S. Housing Dataset | HouseTS:一个大规模多模态时空美国房价数据集,用于长时程预测。 | spatiotemporal foundation model multimodal |
🔬 支柱一:机器人控制 (Robot Control) (1 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 10 | SafeGenes: Evaluating the Adversarial Robustness of Genomic Foundation Models | SafeGenes框架:评估基因组基础模型对抗对抗攻击的鲁棒性 | manipulation foundation model |