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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: 4,998 arXiv preprints and 2 OpenAlex records.
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Newest papers, page 67
Non-Zero Radius: The Missing Component of Neural Networks
Inspired by the analogy between the all-or-none activation of biological neurons and the true-false of logic circuits, McCulloch and Pitts proposed a mathematical model of the biological neuron in…Raincheck: Deferred Multimodal Prefill for Efficient Multi-Turn MLLM Inference
Multi-turn conversations with multimodal large language models (MLLMs) reuse input context, but long multimodal inputs increase time to first token (TTFT).LLM Agent-Based Design of RISC-V CPUs with FPGA-in-the-Loop Evaluation
Long-run RTL simulation of CPU candidates can take hours, while short diagnostic runs may miss performance degradation that emerges later in execution.Generative artificial intelligence prompting strategies among Chinese university students across academic tasks
Generative artificial intelligence (GenAI) is increasingly embedded in university learning, yet effective human-GenAI interaction depends not only on access to these tools but also on students'…Red-Teaming Large Language Models in Low-Resource African Languages: A Case Study of Yoruba and Nigerian Pidgin
As large language models (LLMs) become more widespread in Africa, their safety in low-resource languages remains largely untested since most red-teaming work focuses on English.Data Provenance and Ethics in the Curricula of U.S. Health AI Education Programs
Failures of deployed clinical artificial intelligence (AI) systems have often originated in how their training data were generated.From Intent to Improvement: Agentic Dataset Search for Better Model Training
Finding training data in million-scale machine learning repositories is a Web search problem where text relevance is not enough.Emergence of the transformer architecture as the score of entropic laws of random measures
We show that the transformer architecture emerges as the score of last-token laws in a natural statistical model of language, where sentences are empirical measures of tokens, a language is a law on…Letting AI Formulate the Research Question: Autonomous Research Agents
Systems such as The AI Scientist have shown that AI agents can carry out and write up research, but in those demonstrations humans chose the research area and selected the outputs to show.The Real Cost of Context: Predicting Compute Time and Energy Consumption in LLM Prefill and Decode Phases
The integration of Large Language Models (LLMs) into agentic architectures has substantially increased token consumption, raising concerns about their energy footprint.Intrinsic Distribution Matching
One-step and few-step text-to-image generation must accurately render the details specified in the prompt despite limited opportunities for refinement.Where Do Vision Language Models Fail at 3D Reasoning?
Vision-language models can get individual judgments right while struggling to recover and consistently use the exact properties of a 3D object.Rebuilding a Field's Open-Problem Catalog from the Literature: A Two-Layer Knowledge Graph, and Why Status Must Stay Proposed
A research field records its open problems in surveys, keynotes and community reports.Event-SAMA: Language-Grounded Video Object Segmentation on Neuromorphic Event Streams
Event cameras offer microsecond temporal resolution, high dynamic range and no motion blur, but referring video object segmentation (RVOS) lacks event-stream datasets and models.Can AI Agents Interface Clinicians and Complex Models?
Contemporary healthcare institutions generate daily very large amounts of data, which contain highly useful information for the improvement of work organization, planning and overall efficiency.Heterogeneous Co-Evolution Learning for Tool-Efficient Search Agents with Zero Labels
Deep search agents extend language models by interleaving reasoning with external retrieval.Practical Assessment of Agentic Systems in Acoustics
In engineering, applications of artificial intelligence have so far been largely limited to surrogate models and optimization tasks.Sandman: A Sandbox Service for Production Agentic Reinforcement Learning
Agentic reinforcement learning (RL) needs stateful environments for tool execution and evaluation.MoLRSI: A Recursive Self-Improving AI agent for Molecular Discovery
Molecular discovery requires navigating vast combinatorial search spaces while balancing competing biological objectives.Bank-World: A Benchmark for Evaluating Agents on Banking Workflows
Bank-World is a benchmark of 50 banking tasks across two simulated institutions.