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AirflowAttack: first adversarial attack on infrared remote-sensing VLMs using thermal-airflow perturbations, achieving high zero-shot transferability.
Empirical study of poisoning attack resilience in 3D point cloud datasets augmented for autonomous vehicles, examining backdoor injection and misclassification risk.
DataGovBench: benchmark for LLM data analysis on real-world multi-tabular government datasets with Table QA and Table Insight tasks.
PACR-Video: parameter-efficient framework for long video generation using low-rank temporal adapters and prompt routing, without fine-tuning diffusion models.
Physics-informed neural network framework for elastodynamic wave propagation in bimaterial systems using Split Hopkinson Pressure Bar configuration.
sqlite-migrate 0.2 retires the library in favor of sqlite-utils 4.0 compatibility shim.
Theoretical PAC-learning analysis of quantum machine learning separations for predicting quantum many-body system dynamics.
Anthropic’s Claude Cowork is now available on web and mobile for Max subscribers. Until now, Cowork largely lived on a user’s laptop. With the update, users can start a task from their desk, get status updates on their phone, and pick up the finished output later — even if their laptop is closed.
WordVoice: LLM-based TTS system with explicit word-level acoustic control for audiobook and video dubbing applications.
github-code Web Component uses GPT-5.5 to embed GitHub code snippets with line ranges.
It's early, but the plan is to reduce dependency on Nvidia and Huawei.
Question-type-specific LLM framework for BioASQ 14b improves biomedical QA robustness via answer-type-aware inference pipelines.
Danus orchestration system coordinates parallel mathematical reasoning agents using shared fact-graph memory for research-level proof search.
Study identifies localization gaps in VLMs used as condition encoders for diffusion image editing in multi-entity scenes.
Multi-agent system automates H. pylori case finding from gastric biopsy reports with evidence linking and contextual assertion/negation handling.
TILDE method enables concept unlearning in text-to-image diffusion models while preserving benign generation quality and diversity.
Experimental design framework quantifies variability and factors in LLM coding agents' autonomous model discovery via stochastic evaluation.
RuBench 1.0 repository-level coding benchmark with 25 natively-authored Russian task specifications across Python, PHP, TypeScript, JavaScript projects.
ExplAIner declarative query language enables uniform specification and analysis of explainability notions for Boolean classification model interpretability.
SCENT multimodal framework bridges vision and olfaction via language guidance from VLMs for scene-smell alignment beyond visible cues.
Perspective article defines world models as environment simulators, discusses key technical aspects, and charts staged research roadmap across AI subfields.
RL method for robotic throwing in cluttered environments using potential field representations to balance basket attraction and obstacle avoidance.
Theoretical analysis proving neural networks exponentially outperform NTK on compositional tasks, quantifying Fourier vs. architectural complexity trade-offs.
ActionCache accelerates Vision-Language-Action models for real-time robotic deployment by caching and refining intermediate denoising steps without retraining.
Agentic systems turn model reasoning into action through multi-step workflows that combine inference, tool use, code execution, retrieval, orchestration, and... Agentic systems turn model reasoning into action through multi-step workflows that combine inference, tool use, code execution, retrieval, orchestration, and result handling. As these systems scale across the AI factory, performance depends not only on GPU acceleration, but also on the CPU work that happens between model steps. Across the creation and deployment of an agentic system… Source
Domain-adapted Sentence Transformers automate cloud security compliance mapping using 13k synthetic training pairs from five European standards.
TopoBrick uses agentic topology sampling on building knowledge graphs for zero-shot IoT forecasting without training or fixed covariates.
Physics-Informed Neural Networks learn finite-dimensional embeddings of PDE solution families via multihead architecture with orthogonalization penalties.