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Noticias de IA

21863 elementos — filtrados, clasificados y sin duplicados

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arXiv cs.AI Research & Papers
Instant-Fold: In-Context Imitation Learning for Deformable Object Manipulation
arXiv cs.AI Research & Papers
Provably Auditable and Safe LLM Agents from Human-Authored Ontologies
arXiv cs.AI Research & Papers
From Ticks to Flows: Dynamics of Neural Reinforcement Learning in Continuous Environments
arXiv cs.AI Research & Papers
Breaking Bad Molecules: Are MLLMs Ready for Structure-Level Molecular Detoxification?
arXiv cs.AI Research & Papers
OpenRFM: Dissecting Relational In-Context Learning
arXiv cs.AI Research & Papers
Longer Context, Deeper Thinking: Uncovering the Role of Long-Context Ability in Reasoning
arXiv cs.AI Research & Papers
BioBlue: Systematic runaway-optimiser-like LLM failure modes on biologically and economic…
arXiv cs.AI Research & Papers
Generalizable Multi-Task Learning for Wireless Networks Using Prompt Decision Transformers
arXiv cs.AI Research & Papers
Expectations vs. Realities: The Cost of MSE-Optimal Forecasting Under Conditional Uncerta…
arXiv cs.AI Research & Papers
Streaming Communication in Multi-Agent Reasoning
arXiv cs.AI Research & Papers
A Study of the Scale Invariant Signal to Distortion Ratio in Speech Separation with Noisy…
arXiv cs.AI Research & Papers
Multi-Granularity 3D Kidney Lesion Characterization from CT Volumes
arXiv cs.AI Research & Papers
GeM-NR: Geometry-Aware Multi-View Editing for Nonrigid Scene Changes
arXiv cs.AI Research & Papers
Who Needs Labels? Adapting Vision Foundation Models With the Metadata You Already Have
arXiv cs.AI Research & Papers
VGGSounder: Audio-Visual Evaluations for Foundation Models
arXiv cs.AI Research & Papers
From Symbolic to Geometric: Enabling Spatial Reasoning in Large Language Models
arXiv cs.AI Research & Papers
Inference-Time Vulnerability Beyond Shallow Safety: Alignment Along Generation Trajectori…
arXiv cs.AI Research & Papers
Rethinking Sales Lead Scoring with LLM-based Hierarchical Preference Ranking
arXiv cs.AI Research & Papers
Transformer-Based Autonomous Driving Models and Deployment-Oriented Compression: A Survey
arXiv cs.AI Research & Papers
Test-time reward-guided alignment of language models by importance sampling on pre-logit …
arXiv cs.AI Research & Papers
Low-Rank Decay for Grokking in Scale-Invariant Transformers: A Spectral-Geometric View
arXiv cs.AI Research & Papers
An Empirical Study of Data Scale, Model Complexity, and Input Modalities in Visual Genera…
arXiv cs.AI Research & Papers
L-TGVN: Leveraging Longitudinal Priors for Personalized Rapid MRI
arXiv cs.AI Research & Papers
LoopMoE: Unifying Iterative Computation with Mixture-of-Experts for Language Modeling
arXiv cs.AI Research & Papers
MemoryDocDataSet: A Benchmark for Joint Conversational Memory and Long Document Reasoning
arXiv cs.AI Research & Papers
Token Rankings are Unforgeable Language Model Signatures
arXiv cs.AI Research & Papers
UniCAD: A Unified Benchmark and Universal Model for Multi-Modal Multi-Task CAD
arXiv cs.AI Research & Papers
Mid-Think: Training-Free Intermediate-Budget Reasoning via Token-Level Triggers
arXiv cs.AI Research & Papers
Self-Reflective APIs: Structure Beats Verbosity for AI Agent Recovery
arXiv cs.AI Research & Papers
Bad Seeing or Bad Thinking? Rewarding Perception for Multimodal Reasoning