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Using Cognitive Models to Improve Language Model Simulation of Human Persuasion

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2 SIGNALSFIRST DETECTED 17 June 2026
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25 Mar
Beyond Preset Identities: How Agents Form Stances and Boundaries in Generative Societies

arXiv:2603.23406v1 Announce Type: new Abstract: While large language models simulate social behaviors, their capacity for stable stance formation and identity negotiation during

REPORT · HOW · ArXiv CS.AIOPEN STORY
27 Apr
Spontaneous Persuasion: An Audit of Model Persuasiveness in Everyday Conversations

arXiv:2604.22109v1 Announce Type: cross Abstract: Large language models (LLMs) possess strong persuasive capabilities that outperform humans in head-to-head comparisons. Users

REPORT · WHEN · ArXiv CS.AIOPEN STORY
12 May
Latent Personality Alignment: Improving Harmlessness Without Mentioning Harms

arXiv:2605.08496v1 Announce Type: new Abstract: Current adversarial robustness methods for large language models require extensive datasets of harmful prompts (thousands to

REPORT · WHAT · ArXiv CS.AIOPEN STORY
7 May
Deployment-Relevant Alignment Cannot Be Inferred from Model-Level Evaluation Alone

arXiv:2605.04454v1 Announce Type: new Abstract: Alignment evaluation in machine learning has largely become evaluation of models. Influential benchmarks score model outputs under

REPORT · WHAT · ArXiv CS.AIOPEN STORY
22 Apr
Large Language Models Exhibit Normative Conformity

arXiv:2604.19301v1 Announce Type: new Abstract: The conformity bias exhibited by large language models (LLMs) can pose a significant challenge to decision-making in LLM-based

REPORT · WHAT · ArXiv CS.AIOPEN STORY
27 Apr
Estimating Tail Risks in Language Model Output Distributions

arXiv:2604.22167v1 Announce Type: cross Abstract: Language models are increasingly capable and are being rapidly deployed on a population-level scale. As a result, the safety of

REPORT · WHEN · ArXiv CS.AIOPEN STORY
10 Apr
On Emotion-Sensitive Decision Making of Small Language Model Agents

arXiv:2604.06562v1 Announce Type: new Abstract: Small language models (SLM) are increasingly used as interactive decision-making agents, yet most decision-oriented evaluations

REPORT · HOW · ArXiv CS.AIOPEN STORY
27 Apr
When AI Speaks, Whose Values Does It Express? A Cross-Cultural Audit of Individualism-Collectivism Bias in Large Language Models

arXiv:2604.22153v1 Announce Type: cross Abstract: When you ask an AI assistant for advice about your career, your marriage, or a conflict with your family, does it give you the

REPORT · WHERE · ArXiv CS.AIOPEN STORY
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