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Noticias de IA

22115 elementos — filtrados, clasificados y sin duplicados

arXiv cs.AI Research & Papers
Hacking Generative Perplexity: Why Unconditional Text Evaluation Needs Distributional Met…
arXiv cs.AI Research & Papers
PACT: Self-Evolving Physical Safety Alignment for Diffusion Policies in Embodied Manipula…
arXiv cs.AI Research & Papers
TimpaTeks: Automatic In-place Text Sequence Modification via Diffusion Language Model Ste…
arXiv cs.AI Research & Papers
SceneConductor: 3D Scene Generation from Single Image with Multi-Agent Orchestration
arXiv cs.AI Research & Papers
STAR-KV: Low-Rank KV Cache Compression via Soft Thresholding for Adaptive Rank Control
arXiv cs.AI Research & Papers
Emergence World: A Platform for Evaluating Long-Horizon Multi-Agent Autonomy
arXiv cs.AI Research & Papers
Pre-Intervention Prediction of Sparse Autoencoder Steering Side Effects
arXiv cs.AI Research & Papers
Learning to Attack and Defend: Adaptive Red Teaming of Language Models via GRPO
arXiv cs.AI Research & Papers
Tyan-WP: A Wind Power Foundation Model for Ultra-Short-Term Probabilistic Forecasting
arXiv cs.AI Research & Papers
Trait-space Monitoring for Emergent Misalignment During Supervised Finetuning
arXiv cs.AI Research & Papers
Active Learning with Foundation Model Priors: Efficient Learning under Class Imbalance
arXiv cs.AI Research & Papers
HASA: Subnet Allocation for Compute-Constrained Model-Heterogeneous Federated Learning
arXiv cs.AI Research & Papers
ScaleSweep: Accurate NVFP4 Post-Training Quantization of LLMs via Block Scale Initializat…
arXiv cs.AI Research & Papers
No Free Lunch for Synthetic Images under Data Scarcity Conditions
arXiv cs.AI Research & Papers
NeuroAlign: Hierarchical Multimodal Fusion of Dynamic and Structural Neuroimaging for MCI…
arXiv cs.AI Research & Papers
Beyond Goodhart's Law: A Dynamic Benchmark for Evaluating Compliance in Multi-Agent Syste…
arXiv cs.AI Research & Papers
Reconstructing and forecasting disease trajectories of patients with Alzheimer's disease …
arXiv cs.AI Research & Papers
Syll: Open-Source Personal Automation with Cross-Surface Execution
arXiv cs.AI Research & Papers
SmartMixed: A Two-Phase Training Strategy for Adaptive Activation Function Learning in Ne…
arXiv cs.AI Research & Papers
DeltaBox: Scaling Stateful AI Agents with Millisecond-Level Sandbox Checkpoint/Rollback
arXiv cs.AI Research & Papers
FormalASR: End-to-End Spoken Chinese to Formal Text
arXiv cs.AI Research & Papers
LEAP: Learnable End-to-End Adaptive Pruning of Large Language Models
arXiv cs.AI Research & Papers
TempoBench: Evaluating Temporal Causal Reasoning in Large Language Models
arXiv cs.AI Research & Papers
CLPO: Curriculum Learning meets Policy Optimization for LLM Reasoning
arXiv cs.AI Research & Papers
Sound and Complete Neurosymbolic Reasoning with LLM-Grounded Interpretations
arXiv cs.AI Research & Papers
IDEQ -- Improving Diffusion Models for the Traveling Salesman Problem (TSP) by Leveraging…
arXiv cs.AI Research & Papers
A Survey on Large Language Model-Based Game Agents
arXiv cs.AI Research & Papers
APEX: Large-scale Multi-task Aesthetic-Informed Popularity Prediction for AI-Generated Mu…
arXiv cs.AI Research & Papers
Learning Behavioral Signals from Encrypted Smartphone Network Traffic
arXiv cs.AI Research & Papers
DynamicPO: Dynamic Preference Optimization for Recommendation