A new benchmark for sequential multi-party negotiations from climate data shows no solver dominates and performance depends on game structure.
ISBN 9798400713842
3 Pith papers cite this work. Polarity classification is still indexing.
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Case studies with blind UK residents and people from Kerala and Tamil Nadu demonstrate that community input at the systematization stage produces culturally grounded definitions of appropriateness for text-to-image model outputs.
Hiding generative AI use to signal expertise reduces knowledge sharing and transparency among workplace colleagues.
citing papers explorer
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A Benchmark for Multi-Party Negotiation Games from Real Negotiation Data
A new benchmark for sequential multi-party negotiations from climate data shows no solver dominates and performance depends on game structure.
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Evaluating AI-Generated Images of Cultural Artifacts with Community-Informed Rubrics
Case studies with blind UK residents and people from Kerala and Tamil Nadu demonstrate that community input at the systematization stage produces culturally grounded definitions of appropriateness for text-to-image model outputs.
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"If You're Very Clever, No One Knows You've Used It": The Social Dynamics of Developing Generative AI Literacy in the Workplace
Hiding generative AI use to signal expertise reduces knowledge sharing and transparency among workplace colleagues.