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#IJCAI-ECAI 2026 Distinguished Paper Award Winners Announced

Summary

The 35th International Joint Conference on Artificial Intelligence and the 29th European Conference on Artificial Intelligence (IJCAI-ECAI 2026) named three distinguished papers. One paper, titled "Approximate Strategyproofness in Approval-Based Budget Division" by Haris Aziz et al., proves that the Nash product rule (NASH) has an incentive ratio of 2, thereby circumventing the impossibility theorem by Brandl et al. by relaxing strategyproofness. Another paper, "Tuple Inconsistency Measures: Toward Explaining Query Answers" by Yurun Gu et al., introduces novel tuple inconsistency measures that quantify the extent to which individual tuples contribute to violations of denial constraints in inconsistent databases, and applies them to explain inconsistency in query answers.

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AIhub · Research news and interviews
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