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 127
ADAPT for Science: A Multi-Agent System for Self-Evolving Scientific Optimization
Scientific discovery often requires identifying a small number of high-performing designs in vast, constrained search spaces.Direct Forcing: Single-Stage Training with Representation-Space Supervision for Few-Step Autoregressive Video Generation
Few-step autoregressive video generation enables low-latency streaming, yet prevailing training pipelines separate causal adaptation from distribution matching.Folding Pooled Usage Examples into the Tool Index Lowers Retrieval of Unused Tools
AI agents often find tools by searching their documentation.MOER: Mix-Policy Optimization under Expert Prefix Guidance with Selective Rollback
Mix-policy optimization incorporates off-policy expert data into the reinforcement learning (RL) loop to transcend the capability boundary of on-policy RL.Parameter Learning in Active Inference via Variational Message Passing
Active inference casts perception, learning and planning as variational inference, where the Expected Free Energy (EFE) defines the planning objective.Beyond Phenotypic Similarity: Relation Refinement and Selective Population Graph Learning for Multimodal Brain Disorder Diagnosis
Population graph learning supports brain disorder diagnosis by sharing information across subjects.Query-Time Calibration of CLIP Features for Open-Vocabulary 3D Segmentation
Lifting vision-language features such as CLIP into 3D Gaussian reconstructions enables open-vocabulary segmentation through natural-language queries.TwinStore: A Synthetic Consumer Platform Using Vision--Language Models
We present TwinStore, a source-available synthetic consumer platform for physical retail built on vision--language models.MIG-COW: Transferable Adversarial Attacks on Deepfake Detectors via Gradient Decomposition
Despite recent advances, deepfake detectors remain vulnerable to adversarial examples, particularly in diverse, real-world settings.Harnessing Language Models as Optimization Modeling Agents
Large language models (LLMs) can translate natural-language optimization problems into solver programs, but reliably producing correct formulations and implementations remains challenging.DConstrain: Compiling Context-Parameterized Transitions for Diffusion Language Model Constrained Decoding
Diffusion language models (DLMs) decode multiple tokens in parallel, so individually valid tokens can be incompatible together under a schema.Low-Latency MoE Inference in Space Data Centers: A Wireless-Power-Transfer Perspective
Space data centers (SpaceDCs) are emerging as platforms for large language models (LLMs), supported by continuous solar-energy harvesting and high-speed interconnections.The Geometry of Meaning in Neural Manifolds
Just as different languages express the same concept through different words, neural networks express similar functions through incompatible coordinate systems.Vision Transformers for Estimating Irradiance Using Data Scarce Sky Images
Accurate estimation of diffuse horizontal irradiance (DHI) is critical for optimising photovoltaic system performance and energy forecasting yet remains challenging in regions lacking comprehensive…GateFormer: Forecast-Space Decomposition for Intra-Hour Solar Irradiance Prediction from Sky Images
Sub-hourly dispatch, balancing, and storage control increasingly depend on forecasts that anticipate rapid variability in solar generation.Metacognitive Scaffolds Create Productive Friction for AI-Assisted Knowledge Work
Generative AI imposes new metacognitive demands on knowledge workers as their work shifts from production to planning, evaluation, and orchestration.RetiJev: Fast and Source-Grounded Ophthalmic Decision Models
Ophthalmic clinical decision support requires fast, accurate, and privacy-preserving inference, yet autoregressive large language models (LLMs) incur substantial latency and computational overhead…OpenAttention: One Percent Is Enough with Tail Proxies
Sparse attention reads only a small subset of the key-value cache, and how to treat the unread tail remains a key challenge.Measuring the Reasoning-Action Coupling in Driving Vision-Language-Action Models through Counterfactuals
Driving vision-language-action (VLA) models bring an appealing form of explainability to a safety-critical domain, since a system that can state the reasons for its maneuvers offers the transparency…Zero-Shot Forecasting of In-Situ Soil Moisture and Temperature with a Time-Series Foundation Model
Soil moisture and temperature govern plant-water availability and microbial activity, making them key indicators for evaluating land-restoration efforts on degraded landscapes.