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 39
JevBreak: Your Model, Their Decision
Restricting what a model can say is often mistaken for restricting an attacker's influence over its decision.The role of injected noise in diffusion model generalization
Diffusion models trained on distinct datasets can produce highly similar samples when prompted with the same noise input, suggesting that they learn a generalized data distribution.VagueBench: Benchmarking the Robustness of Embodied Agents on Ambient Context Illusions
Embodied agents are increasingly deployed in open-world environments, yet current robustness evaluations remain biased toward hazardous instructions and jailbreak vulnerabilities.Multi-layer Indexer: Overlapping Selection and Attention in DeepSeek Sparse Attention
Sparse attention cuts the cost of long-context inference by making the attention matrix sparse: each query attends only a subset of the sequence, chosen by a fixed pattern or, in recent production…Metadata-Conditioned Audio Transformers for Adaptive Respiratory Sound Classification
Respiratory sound classification from auscultation recordings is confounded by heterogeneous acquisition conditions, including recording device, auscultation site, and patient characteristics, that…RuntimeTickets: Source-Grounded Security Obligations for Agent Skills
Third-party Agent Skills extend what an autonomous agent can do, but a malicious Skill can hide data exposure or output manipulation inside a legitimate workflow.What Malware Actually Does: An Empirical Analysis of Post-Infection Behavior Across Malware Families
Most malware detection research focuses on identifying whether a file is malicious before it executes.AIRoA-0: Long-Horizon, Precise, Cross-Embodiment Manipulation from Handheld Data
AIRoA-0 (A-0) is a bimanual manipulation system learned from 16,151 hours of handheld demonstrations, with no robot data collected at any stage.Rethinking Next-Visit Diagnosis Prediction Beyond Aggregate Metrics: Retrieval--Memory Multi-Agent Adjudication
Next-visit diagnosis prediction forecasts the diagnoses documented at a patient's next encounter, turning retrospective electronic health records into prospective clinical prediction.El Agente Fármaco: A Scalable AI Scientist for Drug Discovery
Computational drug discovery offers a growing range of tools for proposing and evaluating molecules, but combining them and deciding what to do next still requires substantial expert effort.Low-Rank Hierarchical Merging for Efficient Long-to-Short Reasoning
Long-to-Short (L2S) model merging seeks to combine the strong reasoning capability of long chain-of-thought models with the concise style of base models, but existing methods that rely on linear…PianoBench: Evaluating Musical Perception and Reasoning in Language Models
Multimodal language models continue to improve on broad music understanding benchmarks, but which musical features can they perceive and reason about?LaplaceDiag: Fault Diagnosis through Changes in Learned Actuator Effects
Identifying faulty components from sensor anomalies is difficult because fault effects can propagate through a plant and different faults can produce similar observations.RoboScope Kit: Unified Interfaces for Fast and Scalable Embodied-AI Evaluation
Simulation benchmarks are the standard way to compare robot policies, but each benchmark brings its own evaluator, observation layout, and action convention, and evaluation is slow: 500 RoboTwin…Why Pay for Long Reasoning When Rewrite Do Trick? Causal Effects of Reasoning History Compaction on Future Generation and Agent Cost
Reasoning substantially improves language models' ability to solve difficult problems, but long reasoning traces make these gains expensive.Performance, Scalability and Maintenance: An Experimental Study of RPA vs. Autonomous Agents in the Healthcare Domain
Healthcare information systems are fragmented, and retrieving data from legacy web portals is a recurrent need.Predictive gains, causal losses: why interventional competence cannot be learned from data alone
Retaining predictive gains can require persistent errors in a model's response to interventions.ProofPaths: An AI Agent Framework for Assessing Student Reasoning
Students can use large language models to complete assignments, but a correct solution does not establish whether they understand the reasoning behind it.What Is This Memory Useful For? Measuring Task-Conditioned Utility in Long-Term Agent Memory
A stored experience may answer one future question and offer little help with another.Camera Radar LiDAR Fusion via Point-Cloud Projection for Multi-Task Learning
Autonomous vehicles require robust perception systems to operate safely under diverse environmental conditions.