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cs.HC2026
What Current AI Benchmarks Leave Unmeasured: Modality, Search, Citations, and Implications (for Safety Evaluations)
Ro Encarnación, Tina Behzad, Emma Lurie +1
Large language model (LLM) benchmark evaluations are routinely used to support claims about model safety, reliability, and deployment readiness. Yet most evaluations rely on a sing…
cs.HC2025
Beyond Predictions: A Study of AI Strength and Weakness Transparency Communication on Human-AI Collaboration
Tina Behzad, Nikolos Gurney, Ning Wang +1
The promise of human-AI teaming lies in humans and AI working together to achieve performance levels neither could accomplish alone. Effective communication between AI and humans i…