Bayesian Selective Latent Inference for Wastewater-First Influenza Monitoring
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Noticias de IA
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TheoremBench: Evaluating LLMs on Theorem Proving in Formal Mathematics
LLM-Orchestrated Conformance Checking in Stroke Care Without Computer-Interpretable Guide…
From Rigid to Dynamic: Entropy-Guided Adaptive Inference for Long-Context LLMs
Self-Explainability in Self-Adaptive and Self-Organising Systems: Status and Research Dir…
Concerns and Strategic Responses of Older Workers Navigating Generative AI in Bridge Empl…
MedicalRec: Medical recommender system for image classification without retraining
VisualLeakBench: Reproducible Action-Boundary Propagation Failures in Vision-Language Age…
Repetition Mismatch: Why Data Mixture Experiments Don't Scale and How to Fix Them
Reachability and asymptotics of Gaussian Transformer dynamics
Sample-Efficient Post-Training for LEGO Spatial-Physics Reasoning
Contribution Weights: A Geometrical Analysis of Self-Attention Transformers
LEAF: Growing Trees Without Branching for Speech-Aware Large Language Model Post-Training
Can You Trust What You See? Human and AI Detection of Synthetic Legal Evidence
SWE-Marathon: Can Agents Autonomously Complete Ultra-Long-Horizon Software Work?
Semantic Cache Distillation: Efficient State Transfer via Reuse and Selective Patching
The Montparnasse Algorithm for RNA Design
Considerations for an Integrated Detector Design at FCC-ee: A Human-AI Exploration
SurfDesign: Effective Protein Design on Molecular Surfaces
Enabling KV Caching of Shared Prefix for Diffusion Language Models
Training-Inference Kernel Contracts: Bounding Divergence in Post-Training and Deployment
Outage Detection in Self-Healing Smart Grids Using Reinforcement Learning with Spectral G…
Post-AGI Economies: Superposition and the Second Fundamental Theorem of Welfare Economics
Knowledge-Inclusive Adaptive Physics-Informed Neural Network for Microbial Interaction Mo…
What Makes Video World Model Latents Action-Relevant: Prediction over Reconstruction
HARP: Efficient Data Selection for Finetuning Large Language Models
EssentialGIN: a new approach for gene essentiality prediction based on graph isomorphism …
The ACUTE Protocol: Operationalizing Language Model Activations for Better Calibration, U…
AVI-Bench: Toward Human-like Audio-Visual Intelligence of Omni-MLLMs
DOME: Learning Transferable Domain Variables from Sparse Supervision for Test-Time Adapta…