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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: 4,993 arXiv preprints and 7 OpenAlex records.
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Newest papers, page 29
Text-Only Domain Adaptation for Low-Resource Medical ASR: Shallow Fusion and Density Ratio Rescoring for Hausa
Automatic speech recognition (ASR) systems often struggle with specialised medical vocabulary, especially in low-resource languages where domain-specific speech data are scarce.Pairing Expert Critique with LLM-Driven Refinement: An Iterative Approach for Curating Quality AI Evaluation Datasets
Evaluating and improving domain-specific LLM responses requires high-quality reference data and rubrics, yet expert authoring is slow and expensive, and synthetic datasets may fail to capture…Scheduling Data to Compute: Hierarchical Data Pipelining for LLM Training on AMD GPUs
Large language models (LLM) have been the key focus of recent machine learning breakthroughs.Toward a Compositional Knowledge Architecture for a Shared Organizational Cortex
Organizations accumulate evidence in conversations, documents, decisions and relationships, but they act on interpretations: judgements assembled from several observations, resting on assumptions…PAYWORTHY: Can LLMs Predict Which Freelance Jobs an AI Agent Will Complete?
Before an AI agent takes on a paid job, someone has to judge whether it is likely to succeed.KG-AST for Cheaper CI/CD: Budgeted Test Selection and AI Bug Review
Continuous integration and AI-assisted review spend the same budget on every commit, although few commits introduce bugs.Accessed, never disclosed: Silent access to protected health information by medical artificial intelligence agents
Medical artificial intelligence agents should retrieve patient identifiers only when a task requires them, the data-minimization principle behind the HIPAA minimum necessary standard for protected…Spatial Transfusion: From Structured Spatial Scene Understanding to Generation and Editing
Spatial audio conveys not only what sounds are present, but where they originate and how they interact with the environment.LEANGUARD: Lean-Verified Guardrails for Tool-Using Agents
Tool-using language-model agents often execute actions that their domain policies forbid.MemShift: Separating Detection from Repair in LLM-Derived Personal Memory
AI assistants store values that a language model derived from a person's records under the person's own definitions, such as their important contacts.AgiWorld: An Agentic Video World Model for Building Persistent Worlds
Recent interactive video world models generate visually compelling videos from a single image, following user-provided camera motion and text prompts.Exploiting Textual Semantics for Robust Cross-View Object Correspondence
Cross-view object correspondence (CVOC) aims to establish associations of the same target between query and search videos captured from different viewpoints.Beyond Accuracy: How Quantization Affects Coding Agents
Agents are increasingly used for coding tasks, but the inference cost of large language models (LLMs) limits where they can run.Malware Clustering in the Wild: Taxonomy, Challenges, and Evaluation Metrics
As malware continues to grow in volume, diversity, and sophistication, clustering has emerged as a critical technique for analyzing large malware corpora.Late Autumn: LLM Agents Specialize a General Multi-Robot Planner for One Warehouse
No algorithm is best on all problems, but a real warehouse is a narrow problem: its layout and processes rarely change.Solver-Like Behavior in Large Language Models as Formalizers
In the LLM-as-formalizer paradigm, a large language model translates a problem into a formal program and leaves the search to a solver, gaining the solver's guarantees.Networked Synthetic Social Engineering on the Web
Several genuine AI services may repeat one unsupported source, and correcting that source may leave later reports unchanged.SGR-OPSD: Learning from Subgoal Plans with Graph-Regularized Credit Assignment for Agentic Reinforcement Learning
OPSD provides dense supervision for agentic reinforcement learning through privileged information feedback.Harvesting SWE Benchmarks from Wild Vibe Coding Sessions
Development teams need reproducible tasks from their own repositories and workflows to evaluate coding agents.Turbo-GMM: FlashAttention-Inspired GPU-Accelerated Gaussian Mixture Model
Expectation-maximization (EM) for Gaussian mixture models (GMMs) requires scoring $N$ data points against $K$ mixture components.