Research Reveals LLMs Contain Built-In Persona Subnetworks Without External Training
Humans shift between different personas depending on social context. Large Language Models (LLMs) demonstrate a similar flexibility in adopting different personas and behaviors. Existing approaches…
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Study finds large language models vulnerable to classic persuasion tactics for harmful requests
Are large language models (LLMs) susceptible to the same persuasive appeals as humans? We tested whether classic persuasion principles (auth

Study Finds Modular Cognitive Networks in Large Language Models Mirror Human Brain Organization
Across six frontier LLMs (24B–123B), reasoning is supported by four segregated neuron populations that mirror the cognitive networks of the

Study Finds Modular Cognitive Networks in Large Language Models Mirror Human Brain Organization
Across six frontier LLMs (24B–123B), reasoning is supported by four segregated neuron populations that mirror the cognitive networks of the

Large-Language-Models-as-a-Judge in Theory-Agnostic Adaptive Metric-Alignment for Prototypical Networks in Personality Recognition
arXiv:2607.08374v1 Announce Type: new Abstract: Personality recognition has traditionally been constrained by theory-dependent formulations,
Scaling LLMs Improves Social Simulation Fidelity in Most Cases, But Fails on Cognitive Biases
Large Language Model (LLM) social simulations are a promising research method, but they are not yet faithful enough to be adopted widely. In
Metacognition in Large Language Models: A Comprehensive Review of Current Research and Future Directions
Metacognition is a foundational component of intelligence critical to effective learning, problem solving, decision-making, communication, a
Metacognition in Large Language Models: A Comprehensive Review of Current Research and Future Directions
Metacognition is a foundational component of intelligence critical to effective learning, problem solving, decision-making, communication, a
LLMs Can Describe Their Own Internal Decision-Making Processes, New Research Shows
We have only limited understanding of how and why large language models (LLMs) respond in the ways that they do. Their neural networks have

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