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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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TriAttention: Unified Sparse Mixed-Precision Attention for Long-Context LLM Inference
Sparsity and quantization reduce the cost of attention by skipping interactions and lowering the precision of those retained.Evolutionary Adaptive Neighborhood Learning: A Genetic Algorithm for Instance-Dependent k Optimization in Nearest Neighbor Classification
The number of neighbours k is the central hyperparameter of the k-nearest neighbour (k-NN) classifier and is usually selected globally through cross-validation or evolutionary search.How Deep is the Signal? Time-Context up to 30 Years for Colorectal Cancer Prediction in a Primary-Care EHR Model
EHR foundation models read medical events within a fixed context window, and long context has so far been measured only in tokens.Satisficing as competitive Bayesian weighting: a minimal model of goal-directed choice under an unattained target
Animals and humans often do not maximize; they act relative to goals (aspiration levels) that are frequently not yet met.Efficient Diffusion Policy Fine Tuning with Latent Noise Representation Bridging
Pre-trained diffusion and flow policies have emerged as powerful backbones for robotics, yet adapting them to novel data via reinforcement learning (RL) remains computationally expensive, sample…Encoding and Propagation of Grammatical Number in Large Language Models
Sparse autoencoders (SAEs) have become an increasingly popular means of translating Large Language Model (LLM) hidden state vectors into a human-comprehensible list of features or symbols.How Should Agents See Code? Rethinking Code Representations for Agentic Software Engineering
LLM agents are increasingly used for repository-level software engineering tasks.Robust Ranking of Port Impacts from Impending Tropical Cyclones: A Two-Stage Recommendation System
When a tropical cyclone (TC) threatens several ports, preparedness planning depends on anticipating which ports are likely to be affected and where disruptions may last longest.Permanent and Transient Representations for Continual Reinforcement Learning
Continual Reinforcement Learning (CRL) agents struggle to adapt to new situations while retaining prior knowledge, leading to a stability-plasticity trade-off.Selective Retrieval Routing for Multi-Violation Knowledge Graph Repair
Knowledge graphs often contain missing or inconsistent facts that undermine the applications built on them.Test-Time Self-Play: Scaling without a Verifier
Test-time scaling methods spend additional compute at deployment to improve a large language model's performance on a hard target problem.EnvOpt: Automated Optimization for Agent Environments
An LLM agent's cost and success depend on its model, its harness, and its environment.WeLM-Image: A Unified Image Generation Model towards Visual Intelligence
We present \textbf{WeLM-Image}, a unified image foundation model that integrates multimodal understanding into text-to-image generation, instruction-guided editing, and multi-reference synthesis.FreePath: Neural Mean Free Path for Image Dehazing
Single image dehazing requires recovering scene radiance from visual responses that are weakened and veiled by participating media.PSGAgent: Enhancing MLLMs' Dynamic Visual Perception for Panoptic Scene Graph Generation via Agentic Reasoning
Panoptic Scene Graph generation (PSG) requires holistic yet fine-grained reasoning over complex relations among objects.Typed Knowledge over Constructive Institutions
Type theories designed for mathematics or program verification need only that a proposition holds; proof irrelevance in conversion erases, at the kernel level, how a claim was established.IMUDINO: Self-distilled Foundation Model for Inertial Sensing
We present IMUDINO, the first foundation model (FM) for inertial sensing to achieve competitive performance across diverse sensing tasks including human activity recognition (HAR), health, motion…The Last Mile to the Real World: Agent-Native Primitives as Reusable Building Blocks for Solving Real-World Tasks
How can an agent handle a real-world task end to end?FINCOSMOS: An Open-World Evaluation Paradigm for Agents in Finance
Language agents increasingly work for users on the open Web, and finance is where trusting them is hardest.Echoes of Error: Residual-Directional Local Rollout Consistency for Timeseries Forecasting
In time-series forecasting, rollout errors are not merely one-step fitting discrepancies: once fed back into the evolving state, they can perturb future predictions.