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 138
Latent space configuration for neural network finetuning, fast ranking, and embedding dimensionality reduction
Finding K most similar elements for a query in a large gallery of neural network (NN) embeddings is essential in various areas of computer science and industrial applications of artificial…When Are We Near Nash? Certifying Solutions in General-Sum Games
Heuristic solvers for general-sum extensive-form games produce a stream of iterates, and practice reports the NashGap of the returned profile.LLM-Based Exogenous World Modeling for Dynamic Scheduling
Dynamic scheduling requires dispatching online arrivals while anticipating future jobs, as poor decisions can compound downstream costs under nonlinear tardiness objectives.YingLan: A Multimodal Ocean Foundation Model for Unified Representation Learning from Heterogeneous Observations
Multimodal ocean modeling remains challenging due to substantial heterogeneity in data structures, physical semantics, and spatiotemporal characteristics across satellite imagery, gridded…SpatialBrain: Spatial Intelligence Growing from Experience
Spatial reasoning requires more than access to geometric tools: a reasoner must decide when direct observation is sufficient and when to reconstruct, measure, or change reference frames.OpenMAP-HIE: Pathology Informed Score-based Diffusion Model for Unsupervised Neonatal Hypoxic-Ischemic Encephalopathy Lesion Segmentation
Accurate localization of neonatal hypoxic--ischemic encephalopathy (HIE) lesions on apparent diffusion coefficient (ADC) images is clinically important but is limited by scarce expert annotations…AgentMonopoly: Behavioral Patterns and Persona Control in LLM Agents
How do LLM agents' strategies differ, and how much can instructions to adopt a persona change their behavior over a game?From Prompts to Posteriors: Can LLM Agents Perform Bayesian Inference in Context?
Large language models (LLMs) are increasingly applied across the scientific discovery pipeline, from synthesizing literature to generating hypotheses to informing experimental design.ChronoSynth: Constraint-Aware Question Synthesis over Temporal Knowledge Graphs
Knowledge graph question generation (KGQG) generates natural-language questions from structured graph evidence and a target answer.Memory-Centric Continual Learning for AI Agents
Autonomous agents powered by foundation models can reason, plan, and use tools, but their fixed weights and context limits hinder sustained learning from experience over long-term deployment.Reading the Mask: Descriptor-Grounded BI-RADS Rationale Generation for Breast MRI Segmentation
Deep learning based models accurately delineate tumours on dynamic contrast-enhanced MRI (DCE-MRI), but segmentation masks alone do not provide the rationales or reasoning used by radiologists to…Parallelizable Probabilistic Latent Reasoning for Diverse Reasoning Trajectories
Language models relying on verbalized Chain-of-Thought (CoT) are constrained to token-by-token generation in the language space, where many tokens serve textual coherence rather than core reasoning.LLMSeg: Training-Free Text-Prompted Image Segmentation with B-Splines
Promptable segmentation models such as SAM 3 achieve remarkable open-vocabulary performance but require dedicated architectures, large-scale annotation engines, and task-specific training.Beyond Small Talk: Modeling Disclosure Trajectories in Human-AI Conversation
Recently, we see a rise in conversational agents as a form of social and emotional support, where disclosure will unfold over time.Solving Go under Positional Superko: Sound Proof Transfer and New Board Values
Positional superko (PSK) forbids recreating any earlier whole-board position.MERP: A Latent-Bottleneck Framework for Robust Multi-Modal Multi-Label Emotion Recognition
Multimodal multi-label emotion recognition is important for affect-aware systems, but models trained with complete text, visual, and acoustic streams often degrade sharply when some streams are…Events, Not Pixels: Where World Models Get the Return Wrong
World models are increasingly used for planning, where a planner ranks candidate actions by returns imagined by the model.RegoMender: A Multi-agent Framework for Automated Rego Policy Repair
Policy-as-Code (PaC) has emerged as a foundational paradigm in cloud-native systems.Harness Scaling for Generalizable Agentic Reinforcement Learning
Agent harnesses have become a central component of modern agentic systems, shaping how models use tools, manage context, and coordinate long-horizon interaction.PreCoMem: Predictive Cognitive Memory for Self-Evolving Long-Term Dialogue Agents
Long-horizon dialogue agents need to keep user memories stable enough for personalization while adapting when the user genuinely changes.