Reward Redistribution for CVaR MDPs using a Bellman Operator on L-infinity
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Noticias de IA
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Toxicity Assessment in Preclinical Histopathology via Class-Aware Mahalanobis Distance fo…
From Similarity to Vulnerability: Key Collision Attack on LLM Semantic Caching
InfiniteWeb: Scalable Web Environment Synthesis for GUI Agent Training
FMA-Net++: Motion- and Exposure-Aware Joint Video Super-Resolution and Deblurring
FLARE-AI: Flaw Reporting for AI
A Unified and Stable Risk Minimization Framework for Weakly Supervised Learning with Theo…
REMSA: Foundation Model Selection for Remote Sensing via a Constraint-Aware Agent
Temperature Field Reconstruction of Tungsten Monoblock Divertor on EAST using Physics-awa…
Enhancing Graph Representations with Neighborhood-Contextualized Message-Passing
GUI-AIMA: Aligning Intrinsic Multimodal Attention with a Context Anchor for GUI Grounding
Human-Agent Collaborative Paper-to-Page Crafting
CharDiff-LP: A Diffusion Model with Character-Level Guidance for License Plate Image Rest…
SpecDetect4ML: Detecting Non-Local ML Code Smells with Code Property Graphs
A Scalable Whole-body Motion Transfer via Implicit Kinodynamic Motion Retargeting
Dataset Construction for Training LLM to Learn Analog Circuit Knowledge
One Shot vs. Iterative: Rethinking Pruning Strategies for Model Compression
Robust 3D-Masked Part-level Editing in 3D Gaussian Splatting with Regularized Score Disti…
From Multimodal Perception to Strategic Reasoning: A Survey on AI-Generated Game Commenta…
A Reproducible Benchmark of Lightweight CNNs: Accuracy, Efficiency, and the Impact of Pre…
ZEBRA: Zero-Shot Entropy-Regularized Prompt Learning for Base-to-Novel Generalization in …
Evil Spectra: How Optimisers can Amplify or Suppress Emergent Misalignment
Comparative Analysis of Machine Learning based Intrusion Detection in Realistic IoT Netwo…
SAGE: A Search-AuGmented Evaluation of Large Language Models on Free-Form QA
Artificial Intelligence in Sports: Insights from a Quantitative Survey among Sports Stude…
Verify when Uncertain: Beyond Self-Consistency in Black Box Hallucination Detection
Preserve the Hard, Regenerate the Rest: Uncertainty-Guided Synthetic Training Data Augmen…
Automating Cause-Effect Specification with Knowledge Graphs and Large Language Models
Compositional Concept-Based Neuron-Level Interpretability for Deep Reinforcement Learning
Learning by Surprise: Adaptive Mitigation of Model Collapse in Large Language Models