AAAI Spring Symposia - AAAI
The AAAI Spring Symposium series affords participants an intimate setting where they can share ideas and artificial intelligence research.
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Upcoming Submission Deadlines
Databases and Information Systems Integration, Artificial Intelligence and Decision Support Systems, Information Systems Analysis and Specification, Software Agents and Internet Computing, Human-Computer Interaction, Enterprise Architecture
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AAAI Publication Policies & Guidelines - AAAI
AAAI publication policies provides instructions and forms for authors with an accepted paper that will be published by AAAI Press.
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AAAI Summer Symposia - AAAI
The Summer Symposium Series is designed to bring colleagues together while providing a significant gathering point for the AI community.
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Welcome to the AAAI Member Pages!
Member Login Home Member Center Membership Application Forms Gift Membership AAAI Regular Gift Membership AAAI Student Gift Membership Renew Your Membership AAAI Membership Renewal Form …
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Call for Proposals: “AIx” Pop-Up Events
We are now accepting proposals for AAAI-sponsored “AIx” Pop-Up Events — TEDx-style talks, panels, or public forums
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AAAI 2026 Summer Symposium Series - AAAI
We invite proposals for the 2026 Summer Symposium Series, to be held June 22-June 24, 2026 at Dongguk University in Seoul, South Korea
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GT-HarmBench: Benchmarking AI Safety Risks Through the Lens of Game Theory
arXiv:2602.12316v1 Announce Type: new Abstract: Frontier AI systems are increasingly capable and deployed in high-stakes multi-agent environments. However, existing AI safety benchmarks largely evaluate single …
Pepijn Cobben, Xuanqiang Angelo Huang, Thao Amelia Pham, Isabel Dahlgren, Terry Jingchen Zhang, Zhijing Jin
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A Theoretical Framework for Adaptive Utility-Weighted Benchmarking
arXiv:2602.12356v1 Announce Type: new Abstract: Benchmarking has long served as a foundational practice in machine learning and, increasingly, in modern AI systems such as large …
Philip Waggoner
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Evolving Beyond Snapshots: Harmonizing Structure and Sequence via Entity State Tuning for Temporal Knowledge Graph …
arXiv:2602.12389v1 Announce Type: new Abstract: Temporal knowledge graph (TKG) forecasting requires predicting future facts by jointly modeling structural dependencies within each snapshot and temporal evolution …
Siyuan Li, Yunjia Wu, Yiyong Xiao, Pingyang Huang, Peize Li, Ruitong Liu, Yan Wen, Te Sun, Fangyi Pei
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Intent-Driven Smart Manufacturing Integrating Knowledge Graphs and Large Language Models
arXiv:2602.12419v1 Announce Type: new Abstract: The increasing complexity of smart manufacturing environments demands interfaces that can translate high-level human intents into machine-executable actions. This paper …
Takoua Jradi, John Violos, Dimitrios Spatharakis, Lydia Mavraidi, Ioannis Dimolitsas, Aris Leivadeas, Symeon Papavassiliou
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Scaling Web Agent Training through Automatic Data Generation and Fine-grained Evaluation
arXiv:2602.12544v1 Announce Type: new Abstract: We present a scalable pipeline for automatically generating high-quality training data for web agents. In particular, a major challenge in …
Lajanugen Logeswaran, Jaekyeom Kim, Sungryull Sohn, Creighton Glasscock, Honglak Lee
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