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Noticias de IA

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arXiv cs.AI Research & Papers
Towards Embodied Cognition in Robots via Spatially Grounded Synthetic Worlds
arXiv cs.AI Research & Papers
Controllable LLM Reasoning via Sparse Autoencoder-Based Steering
arXiv cs.AI Research & Papers
The Possibility of Artificial Intelligence Becoming a Subject and the Alignment Problem
arXiv cs.AI Research & Papers
Why Does Grounding Hurt Medical VQA? Benchmarking, Diagnosis, and Fine-Tuning of Vision-L…
arXiv cs.AI Research & Papers
The Scaling Properties of Implicit Deductive Reasoning in Transformers
arXiv cs.AI Research & Papers
AlphaCrafter: Harnessing Multi-Agent Workflows for Cross-Sectional Quantitative Trading
arXiv cs.AI Research & Papers
Sheet As Token: A Graph-Enhanced Representation for Multi-Sheet Spreadsheet Understanding
arXiv cs.AI Research & Papers
From Controlled to the Wild: Evaluation of Pentesting Agents for the Real-World
arXiv cs.AI Research & Papers
MemTX: Transactional Belief Commit for Stateful Agent Memory
arXiv cs.AI Research & Papers
Simulating Tenant Responses to Energy Policy Interventions with Transaction-Cost-Aware LL…
arXiv cs.AI Research & Papers
Representation Capacity-Matched QNN-SNN Twin Construction for Rate-Encoded SNNs
arXiv cs.AI Research & Papers
A context-adaptive policy framework for robust and reactive robotic manipulation via unce…
arXiv cs.AI Research & Papers
Towards Understanding the Cognitive Habits of Large Reasoning Models
arXiv cs.AI Research & Papers
TaylorPODA: A Taylor Expansion-Based Method to Improve Post-Hoc Attributions for Opaque M…
arXiv cs.AI Research & Papers
Annotation-Assisted Learning of Treatment Policies From Multimodal Electronic Health Reco…
arXiv cs.AI Research & Papers
Building Large-Scale English-Romanian Literary Translation Resources with Open Models
arXiv cs.AI Research & Papers
CIFNet: An Analytic Neural Learning Framework for Efficient and Calibrated Class-Incremen…
arXiv cs.AI Research & Papers
Understanding User Experiences of Computer Use Agents: Design Space and Opportunities for…
arXiv cs.AI Research & Papers
Long-Term PM2.5 Forecasting Using a DTW-Enhanced CNN-GRU Model
arXiv cs.AI Research & Papers
DeepVRegulome: DNABERT-based deep-learning framework for predicting the functional impact…
arXiv cs.AI Research & Papers
Deep Delta Learning
arXiv cs.AI Research & Papers
Measuring the State of Open Science in Transportation Using Large Language Models
arXiv cs.AI Research & Papers
Breaking the Curse of Repulsion: Remoteness-Aware Control of Negative Off-Policy Updates
arXiv cs.AI Research & Papers
Real-Time Driver Safety Scoring Through Inverse Crash Probability Modeling
arXiv cs.AI Research & Papers
RankFormer: A Propose-then-Select Transformer for Multi-Agent Multimodal Trajectory Predi…
arXiv cs.AI Research & Papers
Structured Scaling of AI Discovery Across Diverse Scientific Domains
arXiv cs.AI Research & Papers
Directional Influence Function: Estimating Training Data Influence in Constrained Learning
arXiv cs.AI Research & Papers
Moral Hazard in Multi-Agent Language Models
arXiv cs.AI Research & Papers
Engine-Equal, Human-Unequal: A Reproducible Outcome Skew in Engine-Assessed Equal Chess P…
arXiv cs.AI Research & Papers
dtControl2+$\varepsilon$: Trading Optimality for Explainability in MDPs via Decision Trees