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Disentangling Models from Personas in Heterogeneous LLM Simulations
Dani Roytburg, Daphne Ippolito
Multi-agent simulations with large language models (LLMs) often operate networks of agents with a single base model. This overlooks the inter-model effects which may dominate engag…
Who Thinks First? Designing Productive Friction with Engage-to-Unlock GenAI
Xiaotian Su, Laura Rimell, Jiazheng Li +6
Generative AI can support writing, but frictionless access may cause cognitive offloading before users develop their own ideas. We introduce Engage-to-Unlock, a productive-friction…
BenchBrowser: Retrieving Evidence for Evaluating Benchmark Validity
Harshita Diddee, Gregory Yauney, Swabha Swayamdipta +1
Do language model benchmarks actually measure what practitioners intend them to ? High-level metadata is too coarse to convey the granular reality of benchmarks: a "poetry" benchma…