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834 papers, from 4 September 2026 to 5 November 2026: 834 arXiv preprints.
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Newest papers, page 26
Designing Adaptive Affective Chatbots for Online Learning: Trade-offs Between User Control, Automation, and Transparency
Online students often face emotional challenges such as frustration, isolation, and fluctuating motivation, which can hinder sustained engagement in online learning.Whose Voice Survives the Summary? A Voice-Retention Audit of LLM Employee Listening
Organizations increasingly route employee feedback to leaders through large language model (LLM) summaries, an unaudited layer that silences already-spoken voice.Characterizing Questioning Patterns and Student Engagement Through Contextual Analysis of Real-Time Classroom Interactions
Real-time classroom polling is now routine, yet the data it produces is usually read narrowly, as a correctness score or a headcount.Breaking News Out of the Filter Bubble: Generative AI Search Diversifies Collective Attention and Raises Shared Information Consumption
Generative AI search and AI overviews are transforming access to information and news, renewing concerns that readers will encounter a narrower range of topics and have less in common.An Audit of Measurement Quality and Answer Bias in a Large Classroom-Poll Corpus
Real-time classroom polls are widely used and increasingly generated with automated assistance, yet the questions themselves are rarely evaluated as measurements.Insights on Student Learning from Live Classroom Polls: More Than Right or Wrong
A live classroom poll is usually read through its answer key, as a count of participation and correctness.When Attention Guardrails Become Barriers to Learning: Towards the Tipping Point
Online learning offers flexibility but lacks the structure of a classroom, where a teacher's presence guides attention.Freeze, Validate, Report: Auditing Urban Station Plans with Common Evidence
Transport authorities comparing urban station plans need to distinguish plan differences from differences in evaluation inputs.The Concentration of Artificial Intelligence in Big Tech and Its Implications for Human Rights in the European Union
The development of advanced artificial intelligence is increasingly concentrated in a small group of vertically integrated technology companies.Executive Judgement in AI-Mediated Decision-Making Environments: A Process Theory of Formation, Qualification Attrition and Authorisation
Generative artificial intelligence can contribute to the representations, alternatives and evaluations through which executive judgements are formed.From Knowledge to Legitimacy: A Philosophical Problem Discovery of AI Implementation Readiness in Public Health Disease Surveillance
Despite being an emerging credible means of using artificial intelligence (AI) for improving disease surveillance via early detection of outbreaks, epidemics prediction and evidence-based…A Reusable Semantic Web Framework for Evidence-Grounded Fundamental Rights Impact Assessments under the EU AI Act
The EU AI Act (Art.Values as Style: Disentangling Values from Semantics with One-Way Mixing for Low-Damage LLM Steering
Value steering should change an LLM's normative priorities while preserving the scenario, facts, and task constraints underlying its answer.Trust Is Not a Score: Runtime Assurance Contracts for High-Risk AI Agents
Benchmarks, audits, and agent protocols describe performance, permissions, and repair, but not how observed evidence should change an agent's authority during a consequential task.Engagement-Led Segmentation of Gamified Participation Data in a Large-Scale Remote Internship: A Mixed-Methods Study
Gamified points are widely used to represent learner participation, but cumulative point totals provide limited information about how participation changes over time.Efficient Active Auditing of Multi-Group Fairness with Bias Probes
Over the past decade, Machine Learning (ML) has been trained under dual objectives: minimizing prediction error via Empirical Risk Minimization (ERM) while controlling unfairness bias.Ontology-Based Contextual AI Evaluations (OB-CAIE) Methodology
The ontology-based contextual AI evaluation (OB-CAIE) methodology was developed to address a lack of scientific rigor that arises from unclear testing coverage, to balance human expertise and…Interpreting Reasoning of Large Language Models via Partial Information Decomposition
Large reasoning models (LRMs) have achieved substantial improvements in solving complex mathematical problems, but often produce lengthy, repetitive, or erroneous reasoning trajectories.Legal Research Bench: Measuring End-to-End Reliability in Long-Horizon Legal Research Agents
Legal research is a core and time-consuming legal workflow.From Scroll to Sale: Exploring the Impact of Interaction Type and Device Price on TikTok Advertisements
Companies and brands increasingly use dynamic pricing, including targeting social media ads to users based on their income.