AI news archive.
19,864 articles, newest first, from the outlets listed on the sources page.
- arXiv cs.AIagentsAutoResearch: Insight In, Hallucination Out
arXiv:2608.17906v4 Announce Type: replace Abstract: Autonomous research systems are increasingly capable of executing long research workflows, yet automation alone does not ensure that the resulting process remains scien…
- arXiv cs.AIresearchAIREP: A Protocol for Per-Decision Evidence in AI Runtime Governance
arXiv:2608.21363v2 Announce Type: replace Abstract: Runtime-governance evidence often collapses materially different events into one audit record: a decision may be made, an instruction dispatched or received, an action…
- arXiv cs.AIresearchLayerRoute: Action-Conditioned Mixture-of-Layers Routing for Vision-Language-Action Policies
arXiv:2609.06079v5 Announce Type: replace Abstract: Vision-Language-Action (VLA) policies leverage pretrained vision-language models (VLMs) to guide action generation for robot control. VLMs provide hierarchical visual-s…
- arXiv cs.AIresearchInference-Time Nash Alignment
arXiv:2609.08082v2 Announce Type: replace Abstract: Preference-based fine-tuning methods such as RLHF and DPO require substantial compute and large preference datasets. They also need direct access to the model parameter…
- arXiv cs.AIresearchGenerating a Consistent Enterprise: Synthesis and Reference-Free Evaluation of Multi-System Business Data
arXiv:2609.11286v2 Announce Type: replace Abstract: Synthetic relational data is normally produced by a model trained on a real dataset, and its quality is measured as the distance to that dataset. This paper describes a…
- arXiv cs.AIagentsAtria Dawn: The Dawn of Agentic Superintelligence
arXiv:2609.15818v2 Announce Type: replace Abstract: As AI agents become participants in the development of their successors, they reshape both the production of intelligence and the role of human researchers. We introduc…
- arXiv cs.AIresearchAquiLLM: Evaluating Faithfulness in Open-Weight RAG-LLM Systems for Scientific Research
arXiv:2609.16519v3 Announce Type: replace Abstract: Scientific research increasingly relies on large, heterogeneous data sources, motivating interest in retrieval-augmented generation (RAG) systems that provide natural l…
- arXiv cs.AIresearchPhysics-Informed Support Vector Kernels via Green-Function Analogies and Jackson-Chebyshev Spectral Design
arXiv:2502.11153v4 Announce Type: replace-cross Abstract: Kernel selection for regression of physical observables is often heuristic. We investigate a physics-informed strategy in which functional forms and spectral stru…
- arXiv cs.AIresearchInformation-Geometric Inverse Distillation for Enhancing Adversarial Transferability
arXiv:2502.17003v2 Announce Type: replace-cross Abstract: Transfer-based adversarial attacks rely on surrogate models to craft perturbations, yet often overfit the surrogate's decision boundary. To address this problem,…
- arXiv cs.AIresearchFORGE: Forensic Reasoning with Grounded Evidence
arXiv:2503.15867v4 Announce Type: replace-cross Abstract: Forensic deepfake analysis demands more than binary classification: investigators need region-grounded natural language explanations they can verify against the i…
- arXiv cs.AIresearchFOCAL: Fine-Grained Optimal-Transport-Driven Contrastive Alignment of Language and ECGs with Waveform Enhancement
arXiv:2505.11939v3 Announce Type: replace-cross Abstract: Electrocardiograms (ECGs) are essential non-invasive tools for diagnosing cardiovascular diseases. While recent multimodal ECG-Report contrastive learning methods…
- arXiv cs.AIresearchAntiGrounding: Executable Robot Trajectories as Visual Prompts for VLM-Guided Manipulation
arXiv:2506.12374v4 Announce Type: replace-cross Abstract: Natural-language instructions specify manipulation goals but leave the robot's motion underdetermined. We present AntiGrounding, a visual action-selection framewo…
- arXiv cs.AIresearchChunk Twice, Embed Once: A Systematic Study of Segmentation and Representation Trade-offs in Chemistry-Aware Retrieval-Augmented Generation
arXiv:2506.17277v2 Announce Type: replace-cross Abstract: The retrieval stage of retrieval-augmented generation (RAG) for scientific question answering depends on how documents are segmented and how chunks are represente…
- arXiv cs.AIresearchSpherical Cauchy Variational Autoencoders: Heavy Angular Tails and Exact KL Evaluation
arXiv:2506.21278v4 Announce Type: replace-cross Abstract: Heavy-tailed posteriors are routine in Euclidean variational autoencoders, where the Student family relaxes the Gaussian without new machinery. The sphere has had…
- arXiv cs.AIresearchUnderstanding Role Switching in Human-AI Collaboration through Multimodal Behavioral Signals
arXiv:2509.20666v2 Announce Type: replace-cross Abstract: Human-AI collaboration often requires dividing complex tasks into complementary subtasks. As a task unfolds, users may want to shift which subtasks they perform a…
- arXiv cs.AIresearchWatermarking Diffusion Language Models
arXiv:2509.24368v3 Announce Type: replace-cross Abstract: We introduce the first watermark tailored for diffusion language models (DLMs), an emergent LLM paradigm able to generate tokens in arbitrary order, in contrast t…
- arXiv cs.AIagentsBuildBench: Benchmarking LLM Agents on Compiling Real-World Open-Source Software
arXiv:2509.25248v2 Announce Type: replace-cross Abstract: Automatically compiling open-source software (OSS) projects is a vital, labor-intensive, and complex task, which makes it a good challenge for LLM Agents. Existin…
- arXiv cs.AIresearchSGM: A Statistical Godel Machine for Risk-Controlled Recursive Self-Modification
arXiv:2510.10232v2 Announce Type: replace-cross Abstract: Recursive self-modification is increasingly central in AutoML, neural architecture search, and adaptive optimization, yet no existing framework ensures that such…
- arXiv cs.AIresearchLearn2Drive: A neural network-based framework for socially compliant automated vehicle control
arXiv:2510.21736v2 Announce Type: replace-cross Abstract: This study introduces a novel control framework for adaptive cruise control (ACC) in automated driving, leveraging neural networks and physics-informed constraint…
- arXiv cs.AIagentsCommunication and Verification in LLM Agents towards Collaboration under Information Asymmetry
arXiv:2510.25595v2 Announce Type: replace-cross Abstract: While Large Language Model (LLM) agents are often approached from the angle of action planning/generation to accomplish a goal (e.g., given by language descriptio…
- arXiv cs.AIresearchPre-train to Gain: Robust Learning Without Clean Labels
arXiv:2511.20844v2 Announce Type: replace-cross Abstract: Training deep networks with noisy labels leads to poor generalization and degraded accuracy due to overfitting to label noise. Existing approaches for learning wi…
- arXiv cs.AIagentsMAS-Shield: A Defense Framework for Secure and Efficient LLM MAS
arXiv:2511.22924v3 Announce Type: replace-cross Abstract: Large Language Model (LLM)-based Multi-Agent Systems (MAS) are susceptible to linguistic attacks that can trigger cascading failures across the network. Existing…
- arXiv cs.AIresearchEffective and Efficient Threat Hunting with Small Language Models
arXiv:2512.06660v3 Announce Type: replace-cross Abstract: Analysts in Security Operations Centers query massive telemetry streams using Kusto Query Language (KQL), but writing correct KQL demands specialized expertise th…
- arXiv cs.AIresearchFedVideoMAE: Efficient Federated Video Moderation with Differential Privacy and Secure Aggregation
arXiv:2512.18809v3 Announce Type: replace-cross Abstract: Short-form video moderation is increasingly pushed toward edge and privacy-sensitive settings, where users may intend videos for a limited audience, such as frien…
- arXiv cs.AIagentsVLM-CAD: VLM-Optimized Collaborative Agent Design Workflow for Analog Circuit Sizing
arXiv:2601.07315v5 Announce Type: replace-cross Abstract: Vision Language Models (VLMs) have demonstrated remarkable potential in multimodal reasoning. However, they can have spatial blindness and logical hallucinations…
- arXiv cs.AIresearchKinship Data Benchmark for Multi-hop Reasoning
arXiv:2601.07794v3 Announce Type: replace-cross Abstract: Multi-hop kinship reasoning is a natural testbed for LLM compositionality, but existing benchmarks (notably CLUTRR) cover only the descriptive Eskimo system. We i…
- arXiv cs.AIresearchCoMa: Contextual Massing Generation with Vision-Language Models
arXiv:2601.08464v2 Announce Type: replace-cross Abstract: Context-aware building massing is an important early-stage design task: given a site for buildings, a generated massing should not only fit the target parcel, but…
- arXiv cs.AIresearchAmbient Dataloops: Generative Models for Dataset Refinement
arXiv:2601.15417v2 Announce Type: replace-cross Abstract: We propose Ambient Dataloops, an iterative framework for refining datasets that makes it easier for diffusion models to learn the underlying data distribution. Mo…
- arXiv cs.AIresearchSim-and-Human Co-training for Data-Efficient and Scene-Generalizable Bimanual Manipulation
arXiv:2601.19406v2 Announce Type: replace-cross Abstract: Real-robot demonstrations are prohibitively expensive, while simulation data and real-world human demonstrations are both scalable but each leaves a distinct gap:…
- arXiv cs.AIresearchL2R: Low-Rank and Lipschitz-Controlled Routing for Mixture-of-Experts
arXiv:2601.21349v3 Announce Type: replace-cross Abstract: Mixture-of-Experts (MoE) models scale neural networks by conditionally activating a small subset of experts, where the router plays a central role in determining…
- arXiv cs.AIresearchWhy $\beta_1 = \beta_2$ Is Dynamically Special in Adam
arXiv:2601.21739v3 Announce Type: replace-cross Abstract: Adam has been at the core of large-scale training for almost a decade, yet the role of its two momentum parameters remains poorly understood. Recent work shows th…
- arXiv cs.AIresearchRethinking the Design Space of Reinforcement Learning for Diffusion Models: On the Importance of Likelihood Estimation Beyond Loss Design
arXiv:2602.04663v3 Announce Type: replace-cross Abstract: Reinforcement learning has been widely applied to diffusion and flow models for visual tasks such as text-to-image generation. However, these tasks remain challen…
- arXiv cs.AIresearchPerturbing the Phase: Analyzing Adversarial Robustness of Complex-Valued Neural Networks
arXiv:2602.06577v2 Announce Type: replace-cross Abstract: Complex-valued neural networks (CVNNs) are rising in popularity for all kinds of applications. To safely use CVNNs in practice, analyzing their robustness against…
- arXiv cs.AIresearchExploring Sparsity and Smoothness of Arbitrary Lp Norms in Adversarial Attacks
arXiv:2602.06578v2 Announce Type: replace-cross Abstract: Adversarial attacks against deep neural networks are commonly constructed under $\ell_p$ norm constraints, most often using $p=1$, $p=2$ or $p=\infty$, and potent…
- arXiv cs.AIresearchCross-Sectional Asset Retrieval via Future-Aligned Soft Contrastive Learning
arXiv:2602.10711v2 Announce Type: replace-cross Abstract: Asset retrieval (finding similar assets in a financial universe) is central to quantitative investment decision-making. Existing approaches define similarity thro…
- arXiv cs.AIresearchHigh-Resolution Range Profile Classifiers Require Aspect-Angle Awareness
arXiv:2603.00087v2 Announce Type: replace-cross Abstract: We revisit High-Resolution Range Profile (HRRP) classification with aspect-angle conditioning. While prior work often assumes that aspect-angle information is inc…
- arXiv cs.AIresearchTTSR: Test-Time Self-Evolving via Reflection
arXiv:2603.03297v3 Announce Type: replace-cross Abstract: Test-time training (TTT) adapts large language models (LLMs) during inference using only unlabeled test inputs. Existing methods, however, face two major bottlene…
- arXiv cs.AIresearchDrag-Aware Aerodynamic Manipulability for Torque-Limited Redundant Multirotors: Aerodynamic Promptness based on the Symmetric Acceleration Capacity
arXiv:2603.07998v2 Announce Type: replace-cross Abstract: Aerodynamic promptness quantifies how rotor-speed variations generate multirotor wrench variations, but its Euclidean formulation assigns the same local cost to a…
- arXiv cs.AIresearchMAPLE: Metadata Augmented Private Language Evolution
arXiv:2603.19258v3 Announce Type: replace-cross Abstract: Differentially private (DP) fine-tuning of large language models (LLMs) requires massive compute and full model access, which rules out state-of-the-art proprieta…
- arXiv cs.AIresearchDomain Elastic Transform: Bayesian Function Registration for High-Dimensional Scientific Data
arXiv:2603.21235v3 Announce Type: replace-cross Abstract: Nonrigid registration is conventionally divided into point set registration, which aligns sparse geometries, and image registration, which aligns continuous inten…
- arXiv cs.AIresearchWhen Consistency Becomes Bias: Interviewer Effects in Semi-Structured Clinical Interviews
arXiv:2603.24651v2 Announce Type: replace-cross Abstract: Automatic depression detection from doctor-patient conversations has gained momentum thanks to the availability of public corpora and advances in language modelin…
- arXiv cs.AIresearchWhen Perplexity Lies: Generation-Focused Distillation of Hybrid Sequence Models
arXiv:2603.26556v3 Announce Type: replace-cross Abstract: Converting a pretrained Transformer into a more efficient hybrid model through distillation offers a promising approach to reducing inference costs. However, achi…
- arXiv cs.AIagentsStarVLA-$\alpha$: Reducing Complexity in Vision-Language-Action Systems
arXiv:2604.11757v2 Announce Type: replace-cross Abstract: Vision-Language-Action (VLA) models have recently emerged as a promising paradigm for building general-purpose robotic agents. However, the VLA landscape remains…
- arXiv cs.AIresearchGreen-ELM: Efficient Analytic Learning via High-Dimensional Random Projections
arXiv:2604.15613v4 Announce Type: replace-cross Abstract: We present Green-ELM, a non-iterative neural architecture that replaces gradient-based optimization of the output layer with a closed-form analytic solution over…
- arXiv cs.AIresearchA Two-Stage Multi-Modal MRI Framework for Lifespan Brain Age Prediction
arXiv:2604.16655v2 Announce Type: replace-cross Abstract: The accurate quantification of brain age from MRI has emerged as an important biomarker of brain health. However, existing approaches are often restricted to narr…
- arXiv cs.AIresearchLarge language models eroding science understanding: an empirical study of malignment
arXiv:2604.25639v2 Announce Type: replace-cross Abstract: This paper is accepted and in press for AI and Ethics. This paper includes the supplementary data file at the end of the manuscript. This study examines whether l…
- arXiv cs.AIresearchLearning to Theorize the World from Observation
arXiv:2605.03413v4 Announce Type: replace-cross Abstract: What does it mean to understand the world? Contemporary world models often operationalize understanding as accurate future prediction in latent or observation spa…
- arXiv cs.AIresearchClin-JEPA: A Multi-Phase Co-Training Framework for Joint-Embedding Predictive Pretraining on EHR Patient Trajectories
arXiv:2605.10840v5 Announce Type: replace-cross Abstract: Joint-embedding predictive architectures (JEPA) learn representations by predicting in latent space, as in computer vision; retaining the action-conditioned predi…
- arXiv cs.AIresearchReinforcement Learning for Graph Generation under a Hard Assortativity Constraint
arXiv:2605.23285v2 Announce Type: replace-cross Abstract: Generating graph ensembles with precisely controlled structural properties is central to investigating how network structure shapes function. Canonical ensembles…
- arXiv cs.AIresearchBatch Normalization Amplifies Memorization and Privacy Risks
arXiv:2605.24420v2 Announce Type: replace-cross Abstract: Batch Normalization (BN) is widely adopted to enable faster convergence and more stable training of deep neural networks. However, its impact on privacy and memor…