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Noticias de IA

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arXiv cs.AI Research & Papers
RoadWeaver: Large-Scale Lane-Level HD Map Generation from Scratch for Autonomous Driving …
arXiv cs.AI Research & Papers
Dion3: Full-Stack Orthogonal Updates
arXiv cs.AI Research & Papers
Robust and Efficient Noisy-Label Time-Series Classification via Dynamic Time Warping Base…
arXiv cs.AI Research & Papers
High-dimensional Multi-objective Bayesian Optimization with Learned Variable Interactions
arXiv cs.AI Research & Papers
Consolidator: Learning Persistent Routed Memory Across Context Boundaries
arXiv cs.AI Research & Papers
Every pooling rule has its world: matching probability combination rules to situations an…
arXiv cs.AI Research & Papers
When the API Speaks the Wrong Language: Revisiting Post-Training for Multilingual Tool Use
arXiv cs.AI Research & Papers
Fingerprinting Text-to-Image Diffusion Models via Collapsed Generation
arXiv cs.AI Research & Papers
Confidence Calibration of Deep Learning Systems
arXiv cs.AI Research & Papers
The Wording Effect: Quantifying Two-Way Drift in LLM Benchmark Performance
arXiv cs.AI Research & Papers
Better Slots, Better Worlds: Representation Quality & Robustness in Object-Centric World …
arXiv cs.AI Research & Papers
Hybrid-Policy Self-Editing for Composable Unstructured Knowledge Editing
arXiv cs.AI Research & Papers
Low-Interaction-Rank Learning: Unifying Multiplicative Dual-Encoder Heads
arXiv cs.AI Research & Papers
REOPD: Reliability-Adaptive Reward Extrapolation for On-Policy Distillation
arXiv cs.AI Research & Papers
Who Thinks Best Depends on How Long You Let Them: Budget-Dependent Rankings in LLM Evalua…
arXiv cs.AI Research & Papers
From Monolithic to Modular: Segment-level Automatic Prompt Optimization
arXiv cs.AI Research & Papers
Distribird: Literature-Informed Prior Distribution Design for Bayesian Model Calibration
arXiv cs.AI Research & Papers
Towards the Harness of Embodied Agents
arXiv cs.AI Research & Papers
Dynamic Governance of Multi-LLM Agent Systems for Collaborative Conversational Outcomes
arXiv cs.AI Research & Papers
Is Per-Agent Policy Composition Safe? Rethinking Successor-Feature Transfer in Cooperativ…
arXiv cs.AI Research & Papers
Conflict and Congruency Effects in Large Language Models: In-Weight and In-Context Compet…
arXiv cs.AI Research & Papers
Semantic Lenia: Emergence of Homeostatic Solitons within the Semantic Space of Large Lang…
arXiv cs.AI Research & Papers
Uncertainty-Aware Probabilistic Constrained Clustering from Entangled Pairwise Supervision
arXiv cs.AI Research & Papers
CLEAR: Class-wise Expert Aggregation with Structured Sampling for Long-Tailed Classificat…
arXiv cs.AI Research & Papers
Governing Agentic AI in FinTech
arXiv cs.AI Research & Papers
JieZi: A Large-Scale Expert-Audited Dataset and Benchmark for Ancient Chinese Character E…
arXiv cs.AI Research & Papers
Contextual Quality-Diversity Evolutionary Reinforcement Learning for HVAC Control in Trop…
arXiv cs.AI Research & Papers
Hierarchical Federated Transfer Learning in Digital Twin-Based Vehicular Networks
arXiv cs.AI Research & Papers
Advancing MLLM-based UAV Image Understanding and Reasoning: A Benchmark and a Training-Fr…
arXiv cs.AI Research & Papers
Generative Semantic Segmentation via an Observable Semantic-Image Interface and Hierarchi…