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834 papers, from 4 September 2026 to 5 November 2026: 834 arXiv preprints.
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Does Personality Persuade? Investigating Personality Trait Prompting and Persuasion in Large Language Models
Large language models (LLMs) can be prompted to express different personality profiles, but it remains unclear how reliably they do so or whether personality affects their persuasiveness.Amortized Optimization for Calibrating Stochastic Social Simulators
Stochastic simulators need suitable parameter values to reproduce observed behaviour in complex systems.Replicability, Reproducibility, and Robustness in Political and Social Science Research with Large Language Models
This chapter addresses the central reproducibility problem of research with large language models.Beyond accuracy: what AI assurance needs to establish in public services
Public bodies increasingly rely on AI-produced evidence, including classifications, summaries and assessments.ALTO: African and Levantine Tech-Facilitated Gender-Based Violence Corpus
Tech-facilitated gender based violence (TFGBV) is a pervasive online harm affecting women and gender minority groups through its many direct and covert forms.Beyond the principle-practice gap: Responsible AI as situated epistemic and ethical practice
Responsible AI scholarship has found that ethical principles are frequently not reflected in AI design and development.Using AI Predictions to Augment Rather Than Replace Surveys
LLMs can predict human survey responses with nontrivial accuracy.U.S. State Guidance on AI in K-12 Education: A Comparative Content and Citation Analysis
In the years following the public release of ChatGPT in late 2022, more than half of U.S. states have published formal guidelines around AI usage in K-12 education, creating a record of largely…Measuring Risk, Not Harm: Detecting Psychological Harm Risk Factors in LLM Conversations
Psychological harms from interactions with large language models cannot be monitored directly because they may emerge over repeated interactions and depend strongly on subjective individual user…Alignment Myopia in Generative AI
Current generative AI alignment relies on a myopic paradigm that prioritizes immediate conversational satisfaction.Navigating Disagreement Among Criteria for Evaluating Explanation Faithfulness
Faithfulness requires that algorithmic explanations accurately reflect the model's behavior.KDASO: Knowledge-Data Dual-Driven Automated Skill Optimization for Liability Adjudication Tasks
Liability adjudication tasks (e.g., legal charge determination) require analyzing event descriptions against domain-specific skills to determine whether a party should bear liability.Reclassification Is All You Missed: Surfacing Variant Reinterpretation Need in Online Health Communities at Population Scale
Genetic variants are routinely reclassified in ClinVar after a patient is tested, sometimes from uncertain to pathogenic, yet patient recontact is inconsistent, with no clear duty and responsibility…Swapping the Judge Changes the Ranking: A Preregistered Study of Cross-Provider Replication in LLM-Judged System Comparisons
Practitioners who compare systems with an LLM judge and have no human labels often check a conclusion by repeating it with a judge from another provider.Palimpsestic Accountability in the US Federal AI Inventories
An AI inventory is a structured, often public record in which a government or organization lists and describes the AI systems it uses or plans to use.From Guidelines to Practice: Defining Requirements for AI Red-Teaming Tools
Artificial Intelligence (AI) has seen significant developments and increased usage in recent years.Unmitigated? How are the world's largest companies responding to AI risks?
AI is introducing new risks to large companies and amplifying existing risks, but whether companies are addressing the AI risks they are exposed to is largely untested.When Debate Amplifies Risk: Social-Bias Vulnerabilities in Multi-Agent Safety Deliberation
Retrieval-augmented Web applications increasingly employ multi-agent debate (MAD) to aggregate conflicting, noisy, and heterogeneous information, yet deliberation is fundamentally a social process…Therapy-FIS: A Dataset for Assessing Facilitative Interpersonal Skills in Psychotherapeutic Setting
Facilitative Interpersonal Skills (FIS) is a performance-based assessment method that provides a structured framework for evaluating the interpersonal competencies of mental health professionals.Towards Multi-Method Evaluation of AI in Health: Integrating Benchmarks, Autoraters, and Expert Evaluation
General-purpose generative AI (GenAI) models are being rapidly adopted in healthcare, but they are challenging to assess with traditional evaluation frameworks.