A GitOps-Driven Annotation Catalog for Fully Automatic Railway Operations
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Noticias de IA
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Diagnosing Tool-Selection Reasoning in LLM Agents with Canary Tools
Design Choices That Matter: A Functional ANOVA Analysis for Remote Sensing Multi-Label Cl…
AI Chatbots Seen in Survey as More Trustworthy Than Politicians
Personalized Federated Sparse Adaptation of Time-Series Foundation Models
The Sample Complexity of Distributionally Robust PAC Learning under Cressie--Read Diverge…
Differential 6-DOF Pose Estimation with Provable First-Order Immunity to Camera Calibrati…
A Survey of Adversarial Efficiency Degradation for Vision Transformer by Exploiting Input…
Visual Anchoring in Diffusion: Multimodal Zero-Shot Skeleton Action Recognition
StyleComposer: Training-Free Multi-Reference Style Composition
HiSC: Hierarchical Spatial Clustering Token Compression for Efficient 3D Scene Understand…
Rethinking Reservoir Pruning: A Dynamical Perspective for Echo State Networks
MetaVideoAgent: Automated Video-Agent Evolution for Long-Form Video Understanding
Causal Evidence Extraction and Triangulation in Crisis Reports using Large Language Model…
What Is a Skill Worth? Structure-Aware Shapley Valuation of Agent Skills
Leak-Resistant Unlearning: A New Benchmark for Evaluating Multi-Hop Reasoning Consistency…
RESPClinBench: Benchmarking Multimodal Clinical Decision-Making and Longitudinal Disease …
AFD-Ledger: Deployment Provisioning for Attention--FFN Disaggregation
Eigenius: A Typed Knowledge-Graph DBMS with Epistemic Stratification and Institution-Medi…
Beyond Global Routing Aggregation: Phase-Aware Expert Merging for MoE Vision-Language Mod…
A Counterexample to Fourier Alignment in Single-Neuron Modular Addition
Zero-Mem: Zero-Token Memory Operations for LLM Agents
Predict, Then Retrieve: Cross-Instance Future-State Retrieval from Video Prefixes
Generative Optimization for Incentivized Advertising with Global Level Constraints
Test-Time Scaling in Reasoning LLMs: Inference Regimes, Evaluation, and Reproducibility
Computing Actual Causes for Neural Network Predictions under Structured Causal Inputs
NANQ: Noise-Floor-Aware Mixed-Precision Non-Uniform Quantization for Analog Compute-in-Me…
Can Training Logs Make Model Comparisons More Precise?
Designing a Good Virtual Node: Addressable and Cardinality-Preserving Global Memory for M…
Evading Chain-of-Thought Monitoring Through Model Poisoning