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Artificial Intelligence
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The newest 5,000 papers, from 11 October 2026 to 5 November 2026: 4,998 arXiv preprints and 2 OpenAlex records.
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Newest papers, page 37
Mixed-Methods Exploration of Sociotechnical Factors to Improve Adoption of Crime-Reporting Apps in Urban Communities
Crime-reporting mobile applications can enhance community safety and engagement in urban areas, yet their adoption remains low, partly because developers prioritize technological features over…Same Outputs, Different Scores: Auditing the Unchecked Graders of Multimodal LLM Benchmarks
Every multimodal-LLM multiple-choice benchmark ends with a scoring rule that converts a model's response, often free-form text rather than a clean option letter, into a right/wrong verdict, buried…Can We Stop the Backtest Yet? Anytime-Valid Promotion Tests for Adaptive Financial Research Agents
Financial research agents can generate and monitor trading rules faster than a human can document the resulting selection process.LAND: Learning an Adaptive Number of Draws for Bayesian Best-of-N Selection
Best-of-N decoding improves generation quality by sampling multiple candidates and selecting the best, but it allocates equal compute to sources regardless of how much they benefit from additional…CrowdForge: Effects of Audio and Visual Audience Participation Modalities on Agency, Collaboration, and Engagement in AI-Mediated MR Performances
Technology-mediated audience participation (TMAP) enables audiences to influence live performances, yet balancing interaction with meaningful agency remains challenging.From Reactive to Agentic Resilience: Multi-Timescale AI-RAN Orchestration Under Signaling Storms
Next-generation open radio access network (Open RAN) and AI-RAN deployments turn the RAN into a disaggregated, compute-aware platform whose service continuity depends on many control loops acting at…DeliverBench: Benchmarking AI Agents on Delivering Realistic Multi-Stage Professional Projects
LLM agents are judged by what they deliver, and in professional work what gets delivered is a project, not a task.Optimize the Harness, Not the Model: Fitting a Minimal Agent to a Self-Hostable LLM for Investigative Analysis
Government intelligence teams need LLM agents that can analyze large, messy evidence collections, but security and cost constraints often rule out hosted frontier models and broad, hard-to-audit…Playing Dumb: How a Chess Transformer Simulates Users Across Skill Levels
Generative models increasingly simulate users at different skill levels in education and AI evaluation.Harder Than the Task: From Technical to Organizational Difficulty in AI Benchmarking
AI benchmarks have made remarkable progress in measuring the ability of AI systems to perform increasingly demanding cognitive and technical tasks.Online Label-Free Gradient Matching for Continual Language Model Training
Language models in customer-facing products must be continually updated, since the data they serve shifts over time.Can AI Do Formal Demography? Why Vaccinating the Oldest Saves Both the Most Lives and the Most Years of Life
Can AI contribute to formal demography?A Cross-Domain Matrix Engine for Signal Processing and Deep Neural Net Inference
Matrix multiplication dominates both PHY signal processing and Deep Neural Network (DNN) inference, yet these domains place opposing demands on the matrix engine.VIAS: Value-Isolating Activation Steering for Multi-Value Alignment and Compliance for Organisations
Organisations increasingly deploy large language model agents that must follow organisational values.PanoTac: A Dense Three-Axis Tactile Sensor for Robust Touch-Centric Manipulation
Contact-rich manipulation benefits from tactile feedback that captures both detailed contact geometry and interaction forces.Grading the Unannotated: Insights from the WorkRB Skill Extraction Challenge at RecSys-HR 2026
Skill extraction benchmarks score models against a few human-annotated positives and treat every other skill in the vocabulary as equally wrong.Library of Layers (LoL): Adaptively Ordering Transformer Layers at Runtime
Computer programmers chain together the same reusable computational primitives, for example, conditional statements or loops, but in different orders to implement different algorithms.Contrastive Adapter Training and Consensus Knowledge Distillation for Multi-Source-Free Domain Adaptation in Skin Cancer Diagnosis
Skin cancer diagnosis, particularly differentiating melanoma from benign nevi, is challenging due to the visual similarity between lesions.An Agentic Framework for Automated Power System Studies and Grid Connection Assessment
Connecting new generation and demand to the grid depends on two scarce skills: checking applications against a large, changing body of regulation, and running the network studies that decide where…Can LLM Agents Be Forward-Deployed Engineers? Requirement Discovery and Delivery for Enterprise Text-to-SQL
LLM coding agents can increasingly automate model post-training, but whether they can act as forward-deployed engineer (FDE) agents, discovering customer requirements and turning them into…