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期刊&会议

AAAI Conference on Artificial Intelligence · 会议 · Artificial Intelligence

2026-03-05 至 2026-03-05 共收录 6
cs/0507027 2026-03-05 cs.GT cs.CC cs.MA

Anyone but Him: The Complexity of Precluding an Alternative

任何人但 him:排除替代品的复杂性

Edith Hemaspaandra, Lane A. Hemaspaandra, Joerg Rothe

AI总结 本文研究了在多智能体环境下,通过机制如选民/候选人添加/删除/分割等,防止特定候选人获胜的复杂性问题,发现不同选举系统对破坏性控制的防护能力各不相同。

Comments This revision--the March 2026 Version 5--is identical to the March 2006 Version 4 except in providing, as Appendix A, a correction to the second half of the proof of Theorem 4.21 as it appears in both Version 4 and the AIJ journal version; this proof also replaces the analogous proof part of Theorem 6 of the AAAI version

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2603.04001 2026-03-05 cs.CY cs.AI

STEM Faculty Perspectives on Generative AI in Higher Education

STEM教师对高等教育中生成式人工智能的看法

Akila de Silva, Isabel Hyo Jung Song, Hui Yang, Shah Rukh Humayoun

AI总结 本文探讨STEM教师对生成式人工智能在高等教育中的应用看法,分析其教学整合、学生学习影响及机构支持需求。

Comments Accepted at AAAI 2026 Spring Symposium - Will AI Light Up Human Creativity or Replace It?: Toward Well-Being AI for co-evolving human and machine intelligence

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2603.03760 2026-03-05 cs.LG

Harmonic Dataset Distillation for Time Series Forecasting

用于时间序列预测的调和数据集蒸馏

Seungha Hong, Sanghwan Jang, Wonbin Kweon, Suyeon Kim, Gyuseok Lee, Hwanjo Yu

机构 * Seungha Hong 1 , Sanghwan Jang 1 , Wonbin Kweon 2 , Suyeon Kim 1 , Gyuseok Lee 2 , Hwanjo Yu 1(未知机构)

AI总结 本文提出HDT,通过频域分解和调和匹配提升时间序列预测的可扩展性和泛化能力。

Comments AAAI 2026

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2603.03665 2026-03-05 cs.CV cs.LG

Machine Pareidolia: Protecting Facial Image with Emotional Editing

机器 pareidolia:用情绪编辑保护面部图像

Binh M. Le, Simon S. Woo

AI总结 本文提出MAP方法,通过情绪修改伪装面部身份,提升隐私保护效果,优于现有基线方法。

Comments Proceedings of the AAAI Conference on Artificial Intelligence 40

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2603.02909 2026-03-05 cs.CL cs.AI

Learning to Generate and Extract: A Multi-Agent Collaboration Framework For Zero-shot Document-level Event Arguments Extraction

学习生成与提取:一种多智能体协作框架用于零样本文档级事件论证提取

Guangjun Zhang, Hu Zhang, Yazhou Han, Yue Fan, Yuhang Shao, Ru Li, Hongye Tan

AI总结 本文提出多智能体协作框架,通过生成与评估代理协同提升零样本文档级事件论证提取的性能与数据质量。

Comments Accepted by AAAI 2026

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2507.16405 2026-03-05 cs.AI cs.LG

Self-Supervised Inductive Logic Programming

自监督归纳逻辑编程

Stassa Patsantzis

AI总结 Poker通过自监督学习方法,在无负例情况下自动生成正负例,提升归纳逻辑编程的性能。

Comments To appear in AAAI-26 conference proceedings. Updated 04 March 2026 to include appendices, update affiliation, contact details

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