| 1 |
Enhancing Interpretability in Software Change Management with Chain-of-Thought Reasoning |
提出SCELM框架,利用链式思考提升软件变更管理的可解释性与效率 |
chain-of-thought |
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| 2 |
Learning from Synthetic Labs: Language Models as Auction Participants |
利用大型语言模型模拟拍卖参与者,降低拍卖研究成本 |
large language model chain-of-thought |
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| 3 |
LLM-Stackelberg Games: Conjectural Reasoning Equilibria and Their Applications to Spearphishing |
提出LLM-Stackelberg博弈框架,用于建模LLM参与的序贯决策,并应用于鱼叉式网络钓鱼。 |
large language model |
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| 4 |
LLM-Powered Quantum Code Transpilation |
提出基于LLM的量子代码转译方法,提升跨平台量子软件开发效率。 |
large language model |
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| 5 |
Knowledge Conceptualization Impacts RAG Efficacy |
知识概念化影响RAG效果:探究知识表示对Agentic RAG系统性能的影响 |
large language model |
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| 6 |
SPICE: An Automated SWE-Bench Labeling Pipeline for Issue Clarity, Test Coverage, and Effort Estimation |
SPICE:自动化SWE-bench标注流水线,提升问题清晰度、测试覆盖率和工作量评估。 |
foundation model |
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| 7 |
AInsight: Augmenting Expert Decision-Making with On-the-Fly Insights Grounded in Historical Data |
AInsight:利用历史数据实时洞察,增强专家决策能力 |
large language model |
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