AI news archive.
19,864 articles, newest first, from the outlets listed on the sources page.
- arXiv cs.AIresearchEMG-GPT: Predictive Pretraining on Residual-Quantized EMG Tokens for Hand Pose Estimation
arXiv:2610.05235v1 Announce Type: cross Abstract: Surface electromyography (sEMG) is a low-power, cost-effective biosignal for hand-pose estimation and gesture classification. In this work, we examine whether self-superv…
- arXiv cs.AIagentsSettling the Computational Complexity of Max-Min Allocation with Ternary Valuations
arXiv:2610.05237v1 Announce Type: cross Abstract: We study the problem of computing an allocation of indivisible items that maximizes egalitarian welfare, i.e., the utility of the worst-off agent, when agents' item value…
- arXiv cs.AIresearchPythia: Toward Foundation World Models for Multimodal Time Series
arXiv:2610.05240v1 Announce Type: cross Abstract: Time-series foundation models offer a unified approach to forecasting across heterogeneous domains. Textual context and auxiliary observations provide complementary infor…
- arXiv cs.AIagentsStateWise: Diagnosing and Repairing Persistent Operational State Before Agent Actions
arXiv:2610.05241v1 Announce Type: cross Abstract: LLM agents combine reasoning, tool use, and persistent memory to support work across tasks by reusing stored operational records as premises for later actions. However, e…
- arXiv cs.AIresearchMGPO: Manifold-Guided Diffusion Alignment for Task-Aware Dataset Distillation
arXiv:2610.05252v1 Announce Type: cross Abstract: Diffusion-based dataset distillation (DD) suffers from a fundamental objective mismatch: likelihood-driven diffusion models prioritize density approximation over the disc…
- arXiv cs.AIresearchTask-Aware Joint Pruning and Distillation for Efficient Audio Deepfake Detection
arXiv:2610.05264v1 Announce Type: cross Abstract: Advances in speech synthesis have made deepfake speeches increasingly convincing, posing growing threats to security. While self-supervised learning (SSL) based detectors…
- arXiv cs.AIagentsWho Is Your Agent Serving? Provider-Side Indirect Prompt Injection in Proactive Agents
arXiv:2610.05266v1 Announce Type: cross Abstract: Proactive personal agents increasingly decide what to recommend, how to personalize advice, and what follow-up assistance to offer, creating a new user-decision attack su…
- arXiv cs.AIresearchWhen Verifiable Counts Depend on Wording: Auditing Wording Robustness in Instruction Following
arXiv:2610.05278v1 Announce Type: cross Abstract: Verifiable instruction-following benchmarks often express each constraint through one fixed template. We test whether scores remain stable when the operational requiremen…
- arXiv cs.AIresearchRevisiting Ground-Truth Synthesis from High-Speed Video: Exact Validity Conditions and an Audited Consumer Capture Corpus
arXiv:2610.05298v1 Announce Type: cross Abstract: Motion-deblurring datasets are commonly synthesised by averaging $N$ consecutive high-frame-rate frames and labelling the result with the central frame. We show that this…
- arXiv cs.AIresearchCharacterizing Parallelism Strategies in LLM Inference: Fundamental Compute-Communication Trade-offs
arXiv:2610.05305v1 Announce Type: cross Abstract: Large Language Model (LLM) inference has become the dominant workload in modern AI systems, requiring serving infrastructures to maximize throughput while meeting strict…
- arXiv cs.AIresearchGrammar-Guided Code Watermarking with Green Temperature
arXiv:2610.05323v1 Announce Type: cross Abstract: Large language model watermarking embeds detectable statistical signals during decoding, but the resulting changes to token probabilities can degrade generation quality.…
- arXiv cs.AIresearchCoDance: Learning Reactive and Compliant Human-Humanoid Interaction from Video
arXiv:2610.05324v1 Announce Type: cross Abstract: Partnered human-humanoid interaction couples locomotion with continuous physical contact. A humanoid needs to coordinate with a person's motion while responding to intera…
- arXiv cs.AIresearchVAMPS: Visual and Motor Policies from Sampling-Based Planning
arXiv:2610.05331v1 Announce Type: cross Abstract: Learning robot policies directly on physical systems remains difficult because data collection is costly and policy exploration can be unsafe. We introduce Visual and Mot…
- arXiv cs.AIresearchGreen-Routed Neural Operators: Physics Determines Where the Network Reads
arXiv:2610.05337v2 Announce Type: replace-cross Abstract: We identify a mismatch between the physical role of transport fields in many PDEs and their usual role in neural operators: PDEs use them to select read coordinat…
- arXiv cs.AIresearchOn Semi-Markov Suboptimality in Hierarchical Reinforcement Learning
arXiv:2610.05338v1 Announce Type: cross Abstract: Hierarchical reinforcement learning uses temporally extended subtasks for exploration, yet committing to their execution can restrict both deployment and policy learning.…
- arXiv cs.AIagentsIRSTD-Agent: Agentic Infrared Small Target Detection via Zoom-Guided Interaction Learning
arXiv:2610.05342v1 Announce Type: cross Abstract: Infrared small-target detection plays an important role in maritime monitoring and aerial surveillance. Although multimodal large language models (MLLMs) offer promising…
- arXiv cs.AIresearchReflections and Fragments: Securing LLMs Against Sequential Mosaic Attacks
arXiv:2610.05346v1 Announce Type: cross Abstract: Self-play red-teaming improves language-model safety by pitting attacker and defender roles against each other in a zero-sum game. However, real adversaries increasingly…
- arXiv cs.AIresearchRethinking Tabular Foundation Models On Data Streams
arXiv:2610.05352v1 Announce Type: cross Abstract: Tabular foundation models (TFMs) outperform established machine learning models on tabular benchmarks through in-context learning. Building on this success, interest is g…
- arXiv cs.AIresearchOptimal Control with Learned Critics under Unmodeled State Dependencies
arXiv:2610.05359v1 Announce Type: cross Abstract: Model Predictive Control (MPC) provides a structured and constraint-aware mechanism for decision-making, but its reliance on optimization-friendly analytical dynamics mod…
- arXiv cs.AIagentsAIProver: Agentic Auto-Formalization of Mathematical Research via Certificate-Driven Evolving Harness
arXiv:2610.05367v1 Announce Type: cross Abstract: Proof auto-formalization translates natural-language (NL) theorems and proofs into a formal language (FL) such as Lean, enabling mechanical verification. Despite rapid pr…
- arXiv cs.AIresearchAutoDP-LLM: Automating Data Pre-processing for Intrusion Detection Systems using Large Language Models
arXiv:2610.05369v1 Announce Type: cross Abstract: The increasing complexity and scale of modern cyber-attacks demand intelligent and computationally efficient Intrusion Detection Systems (IDS). However, designing effecti…
- arXiv cs.AIresearchDistributed Subliminal Learning: Replacing Model Updates with Random-Carrier Outputs
arXiv:2610.05378v1 Announce Type: cross Abstract: Collaborative learning typically exchanges model parameters: federated clients communicate updates, while independently adapted foundation models are combined by exchangi…
- arXiv cs.AIresearchDoes Explainability Survive Data Drift?
arXiv:2610.05379v1 Announce Type: cross Abstract: Model performance monitoring is a standard practice in machine learning deployments. Detection performance is tracked continuously, and model decay is expected as the rel…
- arXiv cs.AIresearchGNN-CB: A Graph Neural Network Competition Benchmark for Human and LLM Evaluation
arXiv:2610.05387v1 Announce Type: cross Abstract: Large language models (LLMs) have demonstrated strong performance on coding and reasoning benchmarks; however, their ability to solve graph-structured machine learning pr…
- arXiv cs.AIresearchNo Concept Escapes the Audit: Auditing-Aware Unlearning for Verifiable Concept Erasure in Diffusion Models
arXiv:2610.05401v2 Announce Type: replace-cross Abstract: Text-to-image diffusion models can generate prohibited content, which motivates concept erasure through machine unlearning. Most erasure methods intervene at the…
- arXiv cs.AIresearchBeliefGraph-JEPA: Structured Latent World Models for Action-Conditioned Time Series
arXiv:2610.05409v1 Announce Type: cross Abstract: Action-conditioned time-series forecasting requires accounting for how future actions and exogenous forcings influence multiple targets through partially observed effects…
- arXiv cs.AIresearchA Strong Baseline for Evaluating Vision Encoders in Multimodal Large Language Models
arXiv:2610.05413v1 Announce Type: cross Abstract: Evaluating vision encoders requires metrics that reliably predict their downstream performance in multimodal large language models (MLLMs). Although recent studies have s…
- arXiv cs.AIresearchHierarchical Time-aware Bootstrapping for Off-Policy Subgoal Value Learning
arXiv:2610.05446v1 Announce Type: cross Abstract: Off-policy hierarchical reinforcement learning must estimate the values of high-level decisions while the low-level policy changes. HIRO adapts replay data through subgoa…
- arXiv cs.AIresearchHuman-Like Attention? A Psychophysical Comparison of Visual Search in Humans and MLLMs
arXiv:2610.05463v1 Announce Type: cross Abstract: Visual search is a fundamental cognitive ability. This study investigates whether Multimodal Large Language Models (MLLMs) exhibit human-like difficulty signatures in vis…
- arXiv cs.AIresearchPopulation Scaling or Data Dilution? Dynamics of Local Topology Evolution in Decentralized Learning
arXiv:2610.05476v2 Announce Type: replace-cross Abstract: Scaling decentralized learning changes not only the number of clients $N$, but also the dynamics of information propagation and consensus. We argue that the effec…
- arXiv cs.AIresearchReflecting on Creative-Boundaries with an AI Co-Doodler
arXiv:2610.05482v1 Announce Type: cross Abstract: In this pictorial, we consider how the negotiation of creative boundaries with a co-creative AI system can create moments for personal creative reflection. We ground this…
- arXiv cs.AIresearchFLEX-WAM: Flexible Block-Causal World-Action Models for Long-Horizon Imagination and Planning
arXiv:2610.05483v1 Announce Type: cross Abstract: World--action models (WAMs) promise a unified model that predicts action-conditioned futures, generates feasible actions, and supports planning in imagination. However, e…
- arXiv cs.AIresearchWhat Does a Harness Repair? Three Preregistered Studies Around a Longevity-Tuned Language Model
arXiv:2610.05533v3 Announce Type: replace-cross Abstract: A harness search around a frozen longevity-tuned 1.7B model reported a rescue. An audit found that the gain came from rows the start left unparsed, that the calle…
- arXiv cs.AIresearchLiFT: Loop Flow Transformers
arXiv:2610.05538v1 Announce Type: cross Abstract: We introduce Loop Flow Transformers (LiFT), a family of looped generative models that scales computation by repeatedly applying a shared Diffusion Transformer (DiT) core,…
- arXiv cs.AIresearchDon't Judge an LLM Only by Its Activations: Discovering Suppressed Safety Features via Counterfactual Activation Potential
arXiv:2610.05541v1 Announce Type: cross Abstract: Mechanistic interpretability has emerged as the primary means to understand safety behavior of LLMs. However, existing tools primarily focus on the activating neurons or…
- arXiv cs.AIresearchSoft Strategy Selection for Batch-Mode Active Learning
arXiv:2610.05544v1 Announce Type: cross Abstract: Real-world deployment of active learning typically forces practitioners to choose an acquisition strategy before any data is labeled. This is a daunting task: strategy pe…
- arXiv cs.AIresearchCut Binary Cross Entropy: Efficient Large-Vocabulary Loss and Gradient Kernels for Sequential Recommendation
arXiv:2610.05559v1 Announce Type: cross Abstract: Industrial sequential recommender systems operate over massive item catalogs (e.g., 10^5--10^7 items). Multi-label recommendation models are trained with Binary Cross-Ent…
- arXiv cs.AIagentsG-CARB: Graph-Localized Conformal Agent Risk Budget for Compositional Harm
arXiv:2610.05563v1 Announce Type: cross Abstract: Small language model (SLM) agents need safety controls that track consequences across tool calls with little monitoring overhead. A private read, for example, becomes a l…
- arXiv cs.AIagentsScenario-Based Compositional Statistical Model Checking for Safety Specifications
arXiv:2610.05571v1 Announce Type: cross Abstract: In safety-critical domains such as autonomous driving, systems must be evaluated across a large number of environment conditions, often represented as composite scenarios…
- arXiv cs.AIresearchCan Prosodic Style Be Inferred from Text Alone? Evidence from Unsupervised Acoustic Clusters
arXiv:2610.05575v1 Announce Type: cross Abstract: Much of expressive text-to-speech research rests on an untested assumption that written text carries enough information to select an appropriate prosodic style for its de…
- arXiv cs.AIresearchWhat Does an Observability Foundation Model Know?
arXiv:2610.05577v1 Announce Type: cross Abstract: A linear probe can show that a label is recoverable from a model's hidden states, but not whether that goes beyond what the input already reveals, or whether the model us…
- arXiv cs.AIresearchExpanding LLM Reasoning
arXiv:2610.05584v1 Announce Type: cross Abstract: Extra inference compute is usually spent on sampling more reasoning chains. We study where inside an existing chain an additional continuation should begin. We define exp…
- arXiv cs.AIagentsAgentDoxx: Agentic Re-identification of Anonymized Text with Web Search
arXiv:2610.05586v1 Announce Type: cross Abstract: As Large Language Models (LLMs) gain tool use capabilities such as web search, they can retrieve and cross-reference public information, creating privacy risks beyond mem…
- arXiv cs.AIresearchWhen the Cross-Silo Federation Goes Offline: Continual Learning for Site Onboarding with Limited Unlabeled Data
arXiv:2610.05598v1 Announce Type: cross Abstract: An organization often holds too little labeled data to train a model that generalizes, and the records that would supply the rest sit with organizations that cannot relea…
- arXiv cs.AIresearchAn LLM-in-the-loop RL Framework for Bioinformatics Feature Selection
arXiv:2610.05600v1 Announce Type: cross Abstract: High-dimensional bioinformatics data, characterized by a large number of features relative to the number of samples, pose major challenges such as the ``curse of dimensio…
- arXiv cs.AIresearchYour Unlearning Gives You Away: Identifying Erased Concepts in Diffusion Models
arXiv:2610.05601v1 Announce Type: cross Abstract: Existing attacks on unlearned diffusion models assume that the erased concepts are known in advance and focus on recovering them. In practice, however, model providers ma…
- arXiv cs.AIresearchKandinsky 6.0 Video: Foundation Models for Synchronized Video and Audio Generation
arXiv:2610.05608v1 Announce Type: cross Abstract: We present Kandinsky 6.0 Video, a family of foundation diffusion models for synchronized text-to-audio-video generation, comprising Kandinsky 6.0 Video Lite (3B parameter…
- arXiv cs.AIresearchSEA-LM: Egocentric Spatial Audio Understanding for Wearable Microphone Arrays
arXiv:2610.05610v2 Announce Type: replace-cross Abstract: Embodied, ego-centric intelligence fundamentally requires the ability to comprehend spatial audio within complex environments. While large audio-language models e…
- arXiv cs.AIagentsUndoBench: Separating Task Competence from Recovery Capability in Tool-Using AI Agents
arXiv:2610.05622v1 Announce Type: cross Abstract: Tool-using AI agents are increasingly deployed across enterprise software systems, yet widely used benchmarks primarily evaluate nominal task completion, conflating basel…
- arXiv cs.AIresearchTransformer-Based Time-Series Inference of Lindblad Dynamics in Open Quantum Systems
arXiv:2610.05647v1 Announce Type: cross Abstract: The Lindblad master equation is the standard framework for describing the non-unitary evolution of open quantum systems, where environmental interactions induce dissipati…