AI & Machine Learning · Computer Science & AI
Artificial Intelligence
The newest papers in Artificial Intelligence that ReadSearch has read, newest first. Each links to its own page, with its authors, date, where it was published and the original.
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 48
Calibration-Constrained Diagnostics for Evaluating LLM Self-Evaluation
We introduce a reusable evaluation artifact for diagnosing whether LLM self-reported confidence can support confidence-gated act-or-defer decisions.The 3-Tier Integrated Technology Risk Model for Occupational Safety and Health
This paper presents the 3-Tier Integrated Technology Risk Model, a progressive framework for Occupational Safety and Health (OSH) management that integrates Job Safety Analysis (JSA), dynamic risk…Beyond Binary Detection: Type-Aware Hallucination Analysis and Hierarchical Detection in Financial Question Answering
Large language models are increasingly used to answer questions over financial filings, where an unfaithful answer can mislead investment, compliance, or client decisions.Qubrio: High-Performance Quantum Compilation via Multi-Agent LLM Collaboration
Large Language Models (LLMs) offer an adaptable alternative to traditional quantum compilation heuristics, which bottleneck progress by demanding costly manual redesigns whenever hardware evolves.Hinted Scaling Laws
Scaling laws predict the outcome of large, expensive training runs by extrapolating trends from smaller, cheaper runs.Data-Scarce, Multi-Granular, Multimodal: Benchmark Design for Biosynthetic Gene Clusters
Biosynthetic gene clusters (BGCs) are co-located genes that encode the biosynthesis of specialized metabolites, an important source of antibiotics, anticancer agents, immunosuppressants, and…Toward Agentic AI-Ready Workflows in Built Environment Organizations: Knowledge Structures and Interoperability Challenges
The rise of agentic artificial intelligence (AI) in the built environment is shifting attention from isolated AI tools toward autonomous systems that reason, plan, and act across project and…FactorSpec: Serving Exact Relational Constraints as Speculative Drafts
Speculative decoding speeds up LLM serving by drafting tokens that the target model verifies in one pass, and its gain grows with the drafts the target accepts.Counterexample-driven autonomous research with application to excess radiated energy in a Z-pinch
Recent breakthroughs in artificial-intelligence-assisted mathematics show that open-ended machine search can outperform human mathematicians, yet transferring this paradigm to physics requires…EMBERS: Empirically Motivated Robustness Testing of Deep Research Systems via Defect-Guided Fuzzing
Deep Research (DR) systems extend large language models into autonomous agents that decompose complex information needs, iteratively search the web, and synthesize evidence to answer challenging…From Logs to Faults: Reference-Free Fault Localization for Retrieval-Augmented Generation Pipelines
Retrieval-Augmented Generation (RAG) pipelines are widely used for domain-specific question answering, yet locating faults remains manual and time-consuming.DualClusterNet: Personalized Pattern-Space Composition for Next-POI Recommendation
Next point-of-interest (POI) recommendation supports personalized place discovery on location-based Web platforms.Learning to read residual images for single-pixel photography
Continuous video scales in cost with camera count, resolution and recording duration, yet many monitoring tasks seek events rather than complete images and can operate on a compact single-pixel…HyVox: Rethinking Low-Power Voice Intelligence towards Neuromorphic-von Neumann Edge Computing
We present HyVox, a hybrid neuromorphic--von Neumann system for low-energy open-set speaker identification under tight energy budgets.Few Trials, Many Metrics: Beta Mixtures for Low-Budget AI Evaluation
Evaluating a stochastic AI system often requires many repeated samples per instance, especially for metrics defined over long horizons.Threat Modeling Intimate Partner Abuse in Agentic Systems
Agentic systems are AI-powered technologies capable of autonomous action within digital environments, such as sending emails or making reservations.Spotting the Artificial: Dialogic Humor Improvisation in Humans and LLMs
We propose a methodology for investigating the differences between natural and synthetic language in a challenging setting: humorous improvisational dialogue.Swap, Replicate, Read the Mass: A Protocol for Auditing Demographic Bias in System One Decision Models
System One decision models replace text generation with typed, probability-scored answers and are entering production.Robustness Starts with the Objective: Designing and Certifying Robust LLM-Generated Heuristics
LLMs are increasingly used to design heuristics for computer systems.To Jev or Not to Jev: When Can System-1 Decision Models Replace LLM Judges?
Decision models such as TypeSafe's Jev answer typed questions about a text (yes/no, multiple choice, or an ordinal score) with calibrated probabilities in a single forward pass and without…