AI news archive.
19,861 articles, newest first, from the outlets listed on the sources page.
- arXiv cs.AIresearchLocal Evidence and Geometric Readout Repair in Trained GNNs
arXiv:2609.27092v1 Announce Type: cross Abstract: Many node-classification GNNs apply a linear classifier to a nonnegative mixture of local messages. An error can reflect either poor mixture weights or a reachable logit…
- arXiv cs.AIagentsIntelligence Across Embodiments
arXiv:2609.27095v1 Announce Type: cross Abstract: Robotic embodiment encompasses the sensing, kinematics, dynamics, geometry, actuation, and control through which an agent physically interacts with the world. These prope…
- arXiv cs.AIresearchWhen Clients Are Orchestrated: Strategic Gradient Manipulation to Defeat Federated Learning Servers with Efficient Defense
arXiv:2609.27124v1 Announce Type: cross Abstract: Federated Learning enables decentralized model training by exchanging model updates--rather than raw data--with a central parameter server (PS). While most of the existin…
- arXiv cs.AIresearchA Hierarchy-Aware Video-Language Model Evaluation and Hyperbolic Baseline for Surgery
arXiv:2609.27139v1 Announce Type: cross Abstract: Surgical procedures follow a phase-to-step hierarchy, yet the video-language models used to recognize them are evaluated with flat per-level metrics that ignore cross-lev…
- arXiv cs.AIagentsThe Like Trap: Multi-Stage Poisoning against Agents in Similarity-based Recommendation Systems
arXiv:2609.27155v1 Announce Type: cross Abstract: With recent advancements in large language models (LLMs) and LLM-based agents, these agents are becoming increasingly autonomous and gaining broader access to act on user…
- arXiv cs.AIresearchThe Linear Representation Hypothesis Needs a Group Action
arXiv:2609.27158v1 Announce Type: cross Abstract: To make claims about representations that generalize beyond a particular trained model, we need to specify when two representations should count as equivalent. The Linear…
- arXiv cs.AIresearchCount Evidence, Not Sentences: Tempered Evidence Fusion of LLM Judgments for Long-Text Value Measurement
arXiv:2609.27165v1 Announce Type: cross Abstract: Large language models (LLMs) are increasingly used to measure public value orientations from long social media posts, yet such posts often mix background, quotations, con…
- arXiv cs.AIresearchSelf-Evolving Multimedia Verification through Memory Consolidation of Contestation Experiences
arXiv:2609.27175v1 Announce Type: cross Abstract: Multimedia verification requires not only accurate decisions but also traceable evidence, reliable human correction, and safe reuse of prior experience. Existing systems…
- arXiv cs.AIresearchPhonemizing User-Generated Text: A Benchmark, Taxonomy, and Compositional Approach
arXiv:2609.27205v1 Announce Type: cross Abstract: Text-to-speech systems increasingly process user-generated text (UGT) such as ppl and imo, whose pronunciation must be inferred from the canonical rather than surface for…
- arXiv cs.AIresearchScalable Subgraph Sampling via Resistance Curvature
arXiv:2609.27209v1 Announce Type: cross Abstract: Subgraph sampling reduces the training cost of large-scale graph neural networks, but sampling criteria may overlook the geometric roles of edges. We propose a resistance…
- arXiv cs.AIresearchKATOsuper: Surrogate-accelerated neural topology optimization with sensitivity-consistent Fourier neural operators
arXiv:2609.27216v1 Announce Type: cross Abstract: Topology optimization (TO) remains computationally intensive due to repeated finite element analysis (FEA) evaluations required at each iteration. While neural network-ba…
- arXiv cs.AIresearchLearning Spectral Allocation: A Fractional Diffusion Framework for Adaptive Volumetric Segmentation
arXiv:2609.27217v1 Announce Type: cross Abstract: We address adaptive computation in 3D medical image segmentation: instead of designing another backbone, we ask how much spectral mixing each network stage needs and let…
- arXiv cs.AIresearchMeet, Compare, or Abstain: LatWeave for Deterministic Multi-Hop Question Answering on Knowledge Lattices
arXiv:2609.27225v1 Announce Type: cross Abstract: Probabilistic question-answering systems -- whether large language models (LLMs) themselves, retrieval-augmented generation (RAG), or trained multi-hop retrievers -- conf…
- arXiv cs.AIresearchCombining LLMs and Genetic Search for ARC-AGI-2
arXiv:2609.27242v1 Announce Type: cross Abstract: LLMs can generate programs for ARC-AGI-2 tasks, but the provided compute only allows a small number of attempts to generate, debug and validate solutions. Genetic algorit…
- arXiv cs.AIagentsListening and Mirroring: The Effects of Verbal Attunement and Behavioral Mimicry on Social and Empathic Perceptions of Embodied AI Agents in VR
arXiv:2609.27246v1 Announce Type: cross Abstract: As embodied agents take on increasingly social and relational roles in VR, visual realism and embodiment alone may be insufficient; users must also perceive these agents…
- arXiv cs.AIresearchThe Risk-Sensitive Schr\"odinger Bridge: Is Not a KL Projection
arXiv:2609.27250v1 Announce Type: cross Abstract: The Schr\"odinger bridge owes its computational power to a single structural fact: by Girsanov's theorem the controlled problem is a Kullback--Leibler (KL) projection ont…
- arXiv cs.AIresearchRuby-ASR: Evidence-Preserving Supervision for Joint Orthographic and Lexical-Reading Recognition
arXiv:2609.27289v1 Announce Type: cross Abstract: Conventional Japanese automatic speech recognition (ASR) is supervised by an orthographic transcript, although the same written form can correspond to different lexical r…
- arXiv cs.AIagentsKITE: KV-Invariant Transformer Expansion for Efficient Agentic LLM Scaling
arXiv:2609.27294v1 Announce Type: cross Abstract: Scaling a language model is not only a question of final quality: the architectural choice determines how much computation is spent during training, prompt processing, an…
- arXiv cs.AIagentsTeach-to-Crash: A Closed-Loop Student-Teacher LLM Framework for Collision-Inducing Test Scenario Generation
arXiv:2609.27296v1 Announce Type: cross Abstract: Validating Autonomous Driving Systems (ADS) in simulation requires testing architectures that can discover rare, safety-critical failures while generating scenarios that…
- arXiv cs.AIresearchBeyond the Illusion of Power: Calibrating Quasi-Experiments in Observational IS
arXiv:2609.27299v1 Announce Type: cross Abstract: Information systems (IS) researchers increasingly use quasi-experimental methods such as difference-in-differences (DiD) and instrumental variables (IV) to recover causal…
- arXiv cs.AIresearchMulti-View Fusion for Encrypted C2 Detection: A Leakage-Controlled Measurement Study of Evaluation Pitfalls
arXiv:2609.27311v1 Announce Type: cross Abstract: Command-and-control (C2) traffic increasingly hides within TLS, so defenders now apply machine learning to traffic metadata. Many studies assume that combining two metada…
- arXiv cs.AIresearchTurning Safety into Competence: Minimally Exploitable Robot Policies via Safety-Filtered Reinforcement Learning
arXiv:2609.27312v1 Announce Type: cross Abstract: Robots deployed for competitive tasks must outmaneuver their opponents without sacrificing safety. Existing approaches, including safe reinforcement learning (RL), train…
- arXiv cs.AIagentsBreaking Weather-Content Coupling: Type-Severity Guided Progressive Disentanglement for All-in-One Infrared Restoration
arXiv:2609.27317v1 Announce Type: cross Abstract: Infrared (IR) imaging is crucial for autonomous driving, remote sensing, and other perception tasks. However, adverse weather may introduce fake structural responses that…
- arXiv cs.AIresearchEvolving Inspectable O-RAN Slicing xApps with LLMs
arXiv:2609.27337v1 Announce Type: cross Abstract: Open RAN (O-RAN) slicing xApps must adapt resource allocations to changing channel conditions and traffic demands while meeting service-level agreements (SLAs). Deep rein…
- arXiv cs.AIresearchConstraint-Driven Context Engineering: Designing Domain Interfaces for AI Systems
arXiv:2609.27354v1 Announce Type: cross Abstract: Generative AI systems are increasingly deployed to address domain problems. These systems operate under technical, regulatory, institutional, and normative constraints th…
- arXiv cs.AIresearchQuantization-Robust Unlearning through the Lens of Retain-Forget Loss Landscapes Interaction
arXiv:2609.27355v2 Announce Type: replace-cross Abstract: Unlearning ensures LLM compliance by removing the influence of private or copyrighted training data. However, since LLM models typically undergo post-training com…
- arXiv cs.AIresearchGeometry-Conditioned Visual Place Recognition in Natural Environments
arXiv:2609.27370v1 Announce Type: cross Abstract: Visual Place Recognition (VPR) in natural environments remains challenging due to repetitive vegetation, sparse distinctive landmarks, and substantial appearance and view…
- arXiv cs.AIresearchNeither Silence nor Overlap Is Failure: Intent-Conditioned Evaluation of Turn-Taking in Full-Duplex Spoken Dialogue Models
arXiv:2609.27372v1 Announce Type: cross Abstract: Benchmarks for full-duplex spoken dialogue models score turn-taking with binary fixed-window rules that reward immediate response or silence by completeness of the prior…
- arXiv cs.AIresearchPlanned Test-Time Scaling with Coordinated Reasoning Paths
arXiv:2609.27374v1 Announce Type: cross Abstract: Test-time scaling with parallel branches is widely adopted to improve performance on challenging reasoning tasks. The predominant approach, repeated sampling, draws branc…
- arXiv cs.AIresearchPsychoacoustically Aligned Latent Smoothing for Adversarial Robustness of Full-Duplex Speech-to-Speech Dialogue Models
arXiv:2609.27378v1 Announce Type: cross Abstract: End-to-end speech-to-speech dialogue models listen and speak simultaneously, so a continuously open acoustic channel is exposed to adversarial manipulation. We formalize…
- arXiv cs.AIagentsForecast Workflow Bench: Evaluating Language-Model Decisions with Budgeted Forecast Tools
arXiv:2609.27385v1 Announce Type: cross Abstract: Time-series foundation models (TSFMs) provide forecasts for operational decisions, but accuracy alone does not determine their value. Evaluating agents that use these mod…
- arXiv cs.AIagentsAutomotive mmWave Spinning Radar Place Recognition with Spatially Gated Feature-Correlation Representation
arXiv:2609.27394v1 Announce Type: cross Abstract: Automotive spinning FMCW radar provides dense, $360^\circ$ sensing and remains reliable under poor illumination and adverse weather, making it well-suited to autonomous n…
- arXiv cs.AIresearchForget who you Forgot: Speaker Unlearning to Prevent Re-Identification in Zero-Shot Text-to-Speech
arXiv:2609.27399v1 Announce Type: cross Abstract: Recent zero-shot text-to-speech (ZS-TTS) systems can reproduce a speaker's voice with high fidelity from only a few seconds of reference speech, raising concerns over una…
- arXiv cs.AIresearchWhat Looks Like a Capability Limit in Vision-Language Models Is a Readout Limit
arXiv:2609.27408v1 Announce Type: cross Abstract: Benchmarks for vision-language models offer their answer choices in some convention: a letter, a color name, a pixel coordinate. That convention is treated as neutral. We…
- arXiv cs.AIresearchQuantum Reinforcement Learning for Cost and Delay Tradeoffs in Quantum Cloud Orchestration
arXiv:2609.27446v1 Announce Type: cross Abstract: Quantum cloud computing, delivered through the quantum-as-a-service (QaaS) model, provides access to quantum computing resources. However, applying uniform time-based pri…
- arXiv cs.AIresearchBEE: Intervention-Adaptive Real-World Reinforcement Learning with Vision-Language-Action Models
arXiv:2609.27450v1 Announce Type: cross Abstract: Vision-language-action (VLA) models handle long-horizon manipulation, yet success hinges on a few precision-critical phases where millimeter-scale errors undo all prior p…
- arXiv cs.AIagentsIssuer-Sovereign Agentic Payments
arXiv:2609.27452v1 Announce Type: cross Abstract: AI agents are beginning to make real payments. Current approaches let an agent pay by relying on a credential provider that, in the approaches deployed today, typically s…
- arXiv cs.AIresearchKairos: Grounded Forecasting of Presence and Directional Flow in 4D Scene Graphs
arXiv:2609.27467v1 Announce Type: cross Abstract: Long-term autonomy in human-populated environments requires anticipating whether and how people will move at times a robot has not yet observed. Existing representations…
- arXiv cs.AIresearchPassing: An Endless Journey through Reconstructed Spacetime with AI-Generated Sound
arXiv:2609.27489v1 Announce Type: cross Abstract: This paper introduces Passing, an interactive audiovisual installation that generates an endless journey from a single continuous monorail-window recording by reconstruct…
- arXiv cs.AIresearchUncheatable Eval: Dynamic Compression-Based Evaluation of Language Models
arXiv:2609.27510v1 Announce Type: cross Abstract: Modern large language models are pretrained on massive datasets, making it difficult to prevent benchmark data from entering their training sets and undermining the relia…
- arXiv cs.AIresearchNV-Reason-CT: 3D Visual Language Model for CT Analysis
arXiv:2609.27511v2 Announce Type: replace-cross Abstract: We present NV-Reason-CT, a generative vision--language model for chest and abdominal CT combining native 3D visual encoding with radiologist-guided reasoning. The…
- arXiv cs.AIagentsBehaviora - A Conceptual Architecture for External and Internal Behavior of Robots and Agents
arXiv:2609.27536v1 Announce Type: cross Abstract: Behaviora is a preliminary conceptual architecture for representing agent and robot behavior, external and internal alike, in an addressable form. A behaving robot or age…
- arXiv cs.AIresearchPhyMo: A Physical-Field Modality for Multimodal AI4Physics
arXiv:2609.27554v1 Announce Type: cross Abstract: Multimodal learning is emerging as a powerful paradigm for AI for Physics (AI4Physics), where predicting physical systems requires the joint interpretation of heterogeneo…
- arXiv cs.AIresearchTNLearn: An Open Source Python Package for Task-based Neurons
arXiv:2609.27564v1 Announce Type: cross Abstract: The brain does not rely on a single type of neuron to perform all kinds of tasks; instead, it designs different neurons for different tasks. The concept of task-based neu…
- arXiv cs.AIagentsFDE-Bench: Evaluating LLM Agents for Deployment Environment Configuration
arXiv:2609.27571v1 Announce Type: cross Abstract: Deployment requires an agent to turn application code into a running system whose services connect, become ready, and remain observable. FDE-Bench evaluates this capabili…
- arXiv cs.AIresearchDCRL: Decoupling and Coupling Reinforcement Learning via Policy-Reward Manifold Alignment
arXiv:2609.27572v1 Announce Type: cross Abstract: Reinforcement learning (RL) has emerged as a key paradigm for improving the reasoning capabilities of large language models (LLMs). However, existing reward systems, such…
- arXiv cs.AIagentsThe Capability Manifold and ML Scaling Laws
arXiv:2609.27588v1 Announce Type: cross Abstract: Existing machine learning (ML) scaling laws relate predictive loss to compute, model parameters, and data. However, as models are increasingly deployed through agentic ha…
- arXiv cs.AIresearchHidden not Deleted: How Networks Suppress Entangled Features
arXiv:2609.27593v1 Announce Type: cross Abstract: Concept erasure methods that operate via linear projection assume that features occupy separable subspaces. We show this assumption fails under dense superposition: when…
- arXiv cs.AIresearchWhen Context Misleads: In-context Learning with Jurisdiction in Large Language Models
arXiv:2609.27603v2 Announce Type: replace-cross Abstract: In-Context Learning (ICL) has become a cornerstone of modern LLM deployment. However, existing ICL post-training methods have a critical blind spot: they excel at…
- arXiv cs.AIresearchCan Jev Judge Radiology Reports? Evaluating a System One Model for Clinical Factuality
arXiv:2609.27607v1 Announce Type: cross Abstract: An AI-generated radiology report can resemble a physician's report while omitting an abnormality, adding an unsupported finding, or reversing its presence. Measuring thes…