| 1 |
Can Large Language Models Improve Venture Capital Exit Timing After IPO? |
利用大语言模型改进风险投资在IPO后的退出时机选择 |
large language model |
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| 2 |
Clustering-based Transfer Learning for Dynamic Multimodal MultiObjective Evolutionary Algorithm |
提出基于聚类迁移学习的动态多模态多目标进化算法,解决动态环境下的多模态优化问题。 |
multimodal |
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| 3 |
GamiBench: Evaluating Spatial Reasoning and 2D-to-3D Planning Capabilities of MLLMs with Origami Folding Tasks |
GamiBench:通过折纸任务评估多模态大语言模型空间推理和2D到3D规划能力 |
large language model multimodal instruction following |
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| 4 |
The Erasure Illusion: Stress-Testing the Generalization of LLM Forgetting Evaluation |
提出近端代理生成(PSG)框架,用于压力测试LLM遗忘评估的泛化能力,揭示现有评估方法的局限性。 |
large language model |
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| 5 |
PromptScreen: Efficient Jailbreak Mitigation Using Semantic Linear Classification in a Multi-Staged Pipeline |
PromptScreen:一种多阶段流水线中基于语义线性分类的高效越狱攻击缓解方法 |
large language model |
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| 6 |
Reflection-Driven Control for Trustworthy Code Agents |
提出反射驱动控制,提升代码Agent安全性和可信度 |
large language model |
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| 7 |
Psychometric Comparability of LLM-Based Digital Twins |
评估LLM数字孪生体的心理测量可比性,揭示其在模拟人类认知和行为方面的局限性与优势。 |
large language model |
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