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.
Get the few papers worth your time in Artificial Intelligence every morning.
Follow Artificial Intelligence and ReadSearch reads its new papers each day, then brings you the few worth reading, each with its key finding in a sentence.
Newest papers, page 140
Conflicted Records: Typed Adversarial Contracts for Auditable LLM Output Quality Enforcement
LLM-generated records increasingly populate production information systems where they are treated as data assets subject to the same quality expectations as records from operational databases.Toward Recursive Self-Improvement in Physical AI
Recursive self-improvement (RSI) describes a system that improves not only its behavior but also the process by which it improves.TraceForge: Distilling with Your Own Thinking
Using an LLM to generate training data for another is among the most general ways to train one, and it remains common practice.Scaling Multilingual Pretraining of Pixel Language Models
Pixel language models process text as rendered images instead of a finite vocabulary, which gives them strong cross-lingual transfer abilities.Bio-Inspired Auditory Processing: Coupling Parallel Resonate-and-Fire Dynamics with Ternary Recurrent Networks for Speech Recognition
Spiking Neural Networks (SNNs) promise energy-efficient inference through sparse, event-driven computation, yet remain constrained on continuous, context-dependent tasks such as automatic speech…Retrieval Augmented Generation Compositionality
Retrieval Augmented Generation (RAG) grounds large language models in external knowledge.Structure-Aware Message Passing on Petri Nets through Directed Walks and Incidence Diffusion
A common application of the process mining discipline is to connect observed event data with Petri nets, which are bipartite, directed graphical process models with rich formal underpinnings.SAKURA: Serving Attention Key-Value State Under Rate Adaptation for Private Image Editing on Phones
Diffusion transformers are widely used in image-editing services.Metamodel-Guided LLM Decoding for Consistent DSL Generation
Large language models (LLMs) are increasingly used to generate software engineering artifacts written in domain-specific languages (DSLs).Where Do LLMs Learn to Recommend AI?
Asked what to study, which career to pursue, or what product to build, large language models (LLMs) often recommend AI-related options.Real PMIDs, Wrong Papers: Harness Design for Biomedical Claim-Verification Agents
Literature-searching language agents are becoming a standard component of scientific assistants for the life sciences, yet there is little controlled evidence on which parts of their harness matter.COMET: A coordinated multi-layer runtime monitoring framework for human-supervised AI-enabled safety systems
Incorporating AI systems into safety systems requires monitoring to avoid silent faults and ensure safe and reliable operation.UserSWE: Evaluating Coding Agents in Multi-Turn Conversations with Dynamic Users
As coding agents become more capable, developers increasingly use them to fix bugs through multi-turn interactions.MemoryTax: The Bitter Lesson of Agent Memory
Agent memory systems such as Mem0 and Zep decide what to keep before any question arrives; coding agents keep the raw history and let the model search it with its own tools.Robot Generalization Beyond Volume: The Diversity Path via Zero-Shot Capabilities
General-purpose robots must handle tasks, objects and environments they were never trained on, yet zero-shot generalization remains one of the least solved problems in physical AI.S-EDL: Eliciting Self-Evidence from Sequence Likelihoods for Semantic Calibration of LLMs
Calibrating large language models (LLMs) in open-ended generation is uniquely challenging because many distinct token sequences can express the same underlying meaning.Broadband Mid-Wave Infrared Imaging Enabled by All-Silicon Hyperboloid Metalens
The mid-wave infrared (MWIR, 3-5 microns) is indispensable for thermal sensing, gas detection, long-range imaging, and free-space optical communications.Every Part Has Its Role: Part-of-Speech Effects in LLM Post-Training
Large language models are typically trained with next-token prediction (NTP), which rewards predicting specific tokens rather than explicitly accounting for the semantic similarities between…PAUSE: Search-Free Steering of Coding Agents Before Their First Source-Code Edit
Coding agents can invest substantial effort in repository exploration and testing yet still produce unsuccessful patches.Automated Materials Data and Knowledge Extraction using Machine Learning and Large Language Models
Over the past decade, substantial efforts have been devoted to developing machine learning (ML) methods for extracting materials data and, where possible, materials knowledge directly from the…