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834 papers, from 4 September 2026 to 5 November 2026: 834 arXiv preprints.
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Efficiency Measured in English: Tokeniser Coverage Bounds Small Language Models on Indic Scripts
Small Language Models with quantisation and parameter-efficient adaptation are widely offered as the route to multilingual AI under compute constraints, and their efficiency is almost always…Provable Compliance: A Protocol for Runtime Compliance Evidence and Transaction-Specific Decisioning
Regulated institutions already perform onboarding, screening, monitoring, and review, but compliance evidence ages, and whether it supports a decision depends on the institution, product, subject…PersonaCUABench: Benchmarking Computer-Use Agents Serving Diverse Personas
Computer-use agents (CUAs) are commonly evaluated against fixed task specifications, but users may omit requirements, add constraints, or require approval before consequential actions.Causal Value Attribution of Marketing Labels in LLM-Generated Ads: A Deconfounder Approach
As AI-generated content becomes commoditized, economic value increasingly shifts from final artifacts to the upstream expertise used to specify inputs that steer LLM generation.Same Person, Different Advice: Auditing LLM Financial Advice with Repeated Risk-Tolerance Responses
AI financial advisers set a client's stock allocation largely from one stated-risk question, yet people do not answer it the same way twice: in a national US panel, 41% of households chose a…Can AI interview? Comparing AI-led to Human-led Chat Interviews
Large language model chatbots have been proposed as AI-interviewers for collecting qualitative interview data at scale, potentially bridging social science's longstanding divide between the breadth…Regulating for an AI Commons: Adopting, sustaining, and defending people-first innovation trajectories
Technological principles of openness, interoperability, and decentralization are integral to building an AI economy that is accountable to the public and truly responsive to local needs and…Graphlet-based Decentralized Finance Transaction Method Classification
Decentralized Finance (DeFi) transactions involve complex interactions among accounts, smart contracts, and tokens.Evaluating Predictor-Corrector Dependence in Hard-Constrained Climate Emulators
Climate emulators often enforce physical constraints by correcting each state predicted by a neural network, but evaluating only the corrected forecast conflates predictor skill with the effect of…GCAM-Gym: A Benchmark for Agent-Based Climate Policy Search
Comparing climate-policy search methods requires accounting for differences in policy control, available observations, feedback timing, and simulator budgets.Water-Energy-Data nexus reveals sustainability gaps and priorities for AI infrastructure
The rapid growth of artificial intelligence (AI) depends on interconnected water, energy, and data systems spanning infrastructure life cycles and diverse geographies, with the potential to…Bridging the Language Gap in Scholarly Data II: Enhancing Gender Inference for Chinese Names
Perceived gender inference from names is important for inclusive scientometrics research, yet existing methods perform poorly on non-Western scholars.A Large Language Model LLM Approach to COVID-19 Fake News Detection
Text classification is a widely studied problem in information retrieval and data mining, with applications ranging from healthcare diagnosis to the detection of COVID-19-related fake news.Bad Diagnosis: Analyzing Consent and Data Collection Practices of Mobile Medical Apps
Mobile health (mHealth) apps collect personally-identifiable information while handling uniquely sensitive medical data, ranging from mental health records to real-time glucose or heart rate…TRACE: Governing AI-Assisted Research with Principles from Computer Science
Artificial intelligence (AI) makes it easier than ever to produce research outputs.Model Capacity Frontier: A Development Framework for LLM-Supported Social Simulation
Large language model (LLM) agents are increasingly incorporated into agent-based models (ABMs) on the premise that richer, context-sensitive human behavior can improve empirical fidelity.Over reliant and underprepared: First responder resilience to disruption of operational technology
The Emergency Services Sector (ESS) is responsible for taking life-saving action in the face of extreme crises.Usability, User Experience, and Acceptability of the Trail Making Test in Virtual Reality in Younger and Older Adults
Immersive virtual reality (VR) adaptations of neuropsychological tests change how a test operates.Desirability Confirmation: Relational Sycophancy in AI Intimate Roleplay
Research on LLM sycophancy has largely focused on propositional agreement, in which models echo users' beliefs, preferences, or judgments.How exposed is work to robotics? Occupational, industry, and geographic measures
Exposure indices that map technical capabilities onto occupational abilities have become a standard tool for anticipating how AI may reshape work, but existing measures either cover software AI or…