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 80
Episodic looking - using reinforcement learning to bias perception enhances few-shot and continual learning with protection from forgetting
There is a fundamental contradiction between the desire for models that can generalize, and models that can continuously adapt to recent input with changing statistics.The Artificial Personality Model: Theory, Implementation, Measurement and Experimental Validation in Conversational Agents
Artificial personality shapes user experience (UX) in human-machine interaction, yet coherent theoretical frameworks and validated measurement instruments remain limited.How Deterministic SAST and AI Security Agents Divide the Work: Coverage, Harness Policy and Cost in Snyk VulnBench 2.0
We ask what AI coding agents and AI security harnesses find that deterministic static application security testing (SAST) does not, and what they miss that SAST catches.Think Before You Act: Decision Gate for LLM Agents
LLM agents increasingly perform consequential actions through external tools, yet their proposed actions are often executed without independent verification of policy compliance or task completion.Right Numbers, Wrong Questions: Evaluating LLMs on Underspecified Financial Queries
Financial assistants answer questions that sound factual but depend on what the user leaves unsaid: what a data figure measures, which product variant is meant, and the investor's situation and the…"Close enough?" An investigation into multiplication errors in LLMs
Large language models (LLMs) frequently fail at multi-digit arithmetic, but the underlying mechanisms governing these failures remain poorly understood.Curriculum-Based Deep Reinforcement Learning for Robust Autonomous Rocket Landing under Atmospheric Uncertainty
Autonomous far-range rocket landing is a challenging control problem because navigation, descent-rate regulation, attitude management, and fuel use must be coordinated in the presence of uncertain…On-Policy Self-Distillation with Teacher Evolution
On-Policy Self-Distillation (OPSD), which aligns a student model's token-level distribution with that of its self-teacher prompted by privileged context, has emerged as a promising direction to…Enhanced image forensics through partial C2PA-based provenance information
Cryptographically verifiable C2PA-based Content Credentials (CCs) can be attached to freshly acquired or generated digital images but also to already existing ones with no previous provenance…When AI performs, what remains? An integrative review of generative AI and cognitive capital in individuals and organizations
Generative artificial intelligence is rapidly entering knowledge work, and its short-term productivity benefits are increasingly documented.Information-Theoretic Reliability--Safety Bounds and Finite-Alignment Dynamics in AI Knowledge Distillation
The reliability and safety of artificial intelligence (AI), together with their transfer and evolution through knowledge distillation, have attracted growing attention.Explore Where It Matters: Targeted Exploration for Efficient Rover Adaptation
Future planetary rovers will traverse steep, deformable terrain where slip, sinkage, and terrain deformation can threaten mobility.Weaken to Strengthen: Weakening-Induced On-Policy Self-Distillation for Large Reasoning Models
Self-distillation offers a way to improve reasoning models when a suitable external teacher is unavailable.Deogen: Automatic Benchmark Generation for Reasoning over Policies
Language models are increasingly being deployed in regulated settings, where a model must apply given rules to the facts of a situation to determine a verdict.Beyond fabrication: Misattributed numbers in papers written by AI research agents
Verifying numerical claims in research written by AI agents is an important but challenging problem.Geometry Matters in Packed 3D Attention
Packing a 3D volume into a token sequence is not merely long-sequence modeling.SatOps-Decision: Low-Latency Discriminative Decisions for Onboard Satellite Communication Operations
We propose SatOps-Decision, a method for low-latency decisions in satellite communication operations.Latent Decision Flow Rewards for Clinical Guideline Reasoning
Clinical practice guidelines encode evidence-based recommendations as conditional decision flows, which makes them a natural source of process supervision for training reasoning models.Learning Scientific Trajectories to Predict Future Biomedical Discoveries
AI co-scientists have expanded the use of large language models for generating scientific hypotheses and guiding experimental investigation.inkGround: Benchmarking Fine-grained Visual Grounding Capabilities of Vision-Language Models for Cursive Handwriting in the Wild
Human handwriting is produced as an ordered sequence of pen movements, but an offline image keeps only the final ink.