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cs.MA2026
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…
cs.MA2026
Measuring Weak-to-Strong Legibility of Reasoning Models
Dani Roytburg, Shreya Sridhar, Daphne Ippolito
Language models are increasingly trained to "reason" before answering users' queries, outputting hundreds of intermediate tokens before a final answer. While reasoning is designed…