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.
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Newest papers, page 83
A Heart Means Recursion: Exploring Visual Meaning and Communication in VLMs
Do vision-language models (VLMs) share our ability to communicate visually?Correction or Manipulation? Measuring Epistemic Vigilance in LLM Agents Under User Pressure
LLM agents that answer questions and act on behalf of users must decide when to yield to a user who disagrees.LociArt: A Unified Paradigm for Free-Style Local Video Stylization
Video stylization typically transforms entire scenes, while local artistic editing requires precise region--style association, spatial control, and temporal consistency.Full Collapse Is Suboptimal: Controlled Partial Neural Collapse for Long-Tailed Recognition
Recent long-tailed recognition (LTR) methods incorporate neural collapse (NC) and align features to a fixed Equiangular Tight Frame (ETF) as a uniform target for all classes.When to Intervene? An Empirical Study of Errors and Self-Recovery in LLM Agents
LLM agents interact with Web services to perform tasks on users' behalf.FIDES-Live: Evaluating Behavioral Concordance in Sequential Trading Agents
Sequential trading agents produce decisions, orders, execution receipts, account states, and reports that need not agree, even when the final portfolio value is correctly computed.Proposing Better Rollouts for On-Policy Distillation
On-policy distillation (OPD) improves language-model post-training by letting the student learn from its own sampled trajectories under teacher supervision, aligning the training process with…CogArena: Benchmarking Multimodal Agents on Interactive Behavioral Experiments
Claims about the cognitive capabilities of large language models are typically tested by translating behavioral paradigms into text prompts, bypassing the visual interfaces and time pressure through…AC-JEPA: Anchored Cross-Modal Joint Embedding Predictive Architecture for Visual-to-Symbolic Translation
Cross-modal translation requires models to capture shared semantics across modalities while preserving the fine-grained structure required by the target modality.ProCerDCL: Query-Efficient Black-Box Probabilistic Verification of Deep Learning Compiler Optimization
We present \tool, a query-efficient framework for black-box probabilistic verification.Do AI Scientists Know What's New?
A major challenge facing AI scientific discovery pipelines is how to determine when a generated idea is meaningfully novel.MedConstBench: Benchmarking How Constitutions Steer LLMs in Medical Ethics
As large language models advance rapidly, they are increasingly used to answer medical questions, and many such models are now deployed locally.RoboAuto: Autonomous Robot Program Search through Multi-Level Physical Understanding
Recently, LLM-based autonomous agents have shown strong capabilities in iteratively generating, evaluating, and refining executable solutions.ATEMPO: Amortized Transfer Entropy Model Per-lag Over-Time
When one time series informs another, the delay at which that information arrives determines if models can utilize this relationship effectively.Monitor Accuracy Isn't the Answer: A Decision-Value Framework for Evaluating AI Agent Restart Monitors
Classification accuracy and true-positive and false-positive rates alone do not determine whether restarting an AI agent improves success.FrameForge: Harnessing Priors of Video Foundation Models for Unified Image Generation
Unified conditional image generation requires a single model to preserve different aspects of a visual input while producing a target image that follows textual guidance.REACH: An RL-based Hierarchical Humanoid Crawling Framework for Adaptable Confined Space Traversal
Humanoid locomotion in confined spaces requires continuous height adaptation across multiple locomotion modes, yet most existing approaches remain limited to height-adjustable bipedal walking.NextEval: An Agent-Based Solver and Benchmark for Derivative-Free Optimization
Derivative-free optimization (DFO) addresses problems where derivatives are unavailable or costly to obtain.CASEL: Consequence-Aware Selective Execution for Reliable Long-Horizon Tool-Using Agents
Tool-using language agents increasingly modify external systems, yet most runtime safeguards allocate scrutiny by generic uncertainty scores or coarse mutation heuristics.ADTGuard: Adaptive Depth-Time Safeguard for Streaming Inference in Large Language Models
Large Language Models (LLMs) can generate fluent responses to diverse user requests, yet streaming may expose users to harmful content before generation is complete.