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834 papers, from 4 September 2026 to 5 November 2026: 834 arXiv preprints.
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Newest papers, page 18
RelLedger: Relational Information Governance for LLM Agent Organizations
In LLM agent organizations, shared records determine which facts are available for later decisions.The Effect of Expertise Signaling when Sharing Medical Information in Opinion Dynamics
Social media heavily influences health decisions, yet few opinion dynamics models account for how information is delivered.Integrating Feature Understandability into Feature Selection for Human-Centred Tabular Explanations
Existing human-centred XAI research predominantly evaluates explanations after they have been generated.Is the Platform Part of the Measurement? A Protocol and Simulation Study for Cross-Platform Equivalence of Machine-Labelled Policy Sentiment
Comparing machine-labelled sentiment across social media platforms is now routine: differences in classifier scores between platforms are read as differences in public opinion.Better together? A performance theory of human-machine skill policies under generalization difficulty
Organizations pairing a human and a machine on a task decide, often by default, which executes each instance and what happens when both do.Friends as Sensors: High-Sensitivity Monitoring of Misinformation and Platform Dynamics via the Friendship Paradox
The friends of a randomly chosen social media user are, on average, better connected than the user, a network property known as the friendship paradox.Social Priors: Descriptions of AI Users Shape How Language Models Trust and Cooperate
Descriptions of how people use AI are becoming training data for the next generation of models.Tracing Money Flows in the Multi-Token Cryptocurrency Network
Tracing money flows in cryptocurrency transaction networks is challenging because funds can move across accounts, transactions, and token layers.Governing Copyright Responsibly in the Era of Generative AI
Large language models are trained on collections that may include scholarly works, while authors generally lack work-level information about whether and how their works were used.Fact-check? True!: Tracking Verification Requests and the Absence of Truth Verdicts across Correction Systems
Misperceptions can run in two directions.Superintelligence and the Triple Risk of an AI Race
On many estimates, artificial general intelligence (AGI) is likely to emerge within the next few decades or even sooner.Protocol Choices Matter More Than the Aggregation Algorithm: Federated Learning for In-Hospital Mortality Prediction in Care-Unit and Multi-Hospital Federations
Federated learning allows hospitals to train a shared mortality model without pooling their records, but published comparisons of aggregation strategies rarely control the evaluation protocol.Thinking Outside the Bots: Human Ideas in AI's Semantic Blind Spots Are Not Inferior
AI-generated outputs are frequently perceived as highly creative, but also tend to be more similar to each other (homogenized) than human ideas.Get In, Decide, Prove: A Merchant-Side Readiness Benchmark for Agentic Commerce
AI agents now browse and buy on people's behalf, and benchmarks measure how well the agents perform.Behavioural Sociology of Humans and Machines
Artificial intelligence (AI) increasingly participates in communication, decision-making, and collective action, making the social organisation of human-machine interaction central to Hybrid…Longitudinal Learner Participation Profiling in Online Learning: Heterogeneous Consensus Clustering under Unequal Observation Windows
Learning management system traces are clustered to identify participation profiles, but unequal observation windows may cause profiles to reflect duration rather than participation alone.The Imperishable Record, Forgiveness, and the Future of Criminal Justice
Digital technologies can preserve records of wrongdoing indefinitely, and AI can give those records continuing influence over a person's future.TL;QR: Querying Temporal Discursive Patterns in Textual Corpora
Many questions about large textual corpora concern patterns that unfold over time, such as a political group whose stance on a topic drifts from support to criticism over several years of debates.Evaluating Bias in Chinese Large Language Models across Tasks and Registers: Task Operationalization Effects and Irony Classification Risks
In Chinese content governance, large language models are increasingly used to identify toxic and discriminatory expressions, yet both task operationalization and ironic expression can alter bias…Fine-Tuning Strategy, Not Just Data: A Statistically Rigorous Audit of Gender and Stereotypical Bias in Embedding Models for HR Recommendation Systems
Embedding models underpin modern job-candidate matching: resumes, job descriptions, and queries are encoded as dense vectors, and recommendations come from nearest-neighbor retrieval over that space.