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Noticias de IA

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arXiv cs.AI Research & Papers
The Accuracy-Efficiency Paradox Quantifying Net Energy Loss in on-Device Energy Forecasti…
arXiv cs.AI Research & Papers
LiveVVT: High-Fidelity Video Virtual Try-On in Real Time
arXiv cs.AI Research & Papers
When Memory Takes Gradients: Collaborative Vector Memory for Agentic Recommender Systems
arXiv cs.AI Research & Papers
LeVJEPA: Efficient & Scalable Video Pretraining without the Heuristics
arXiv cs.AI Research & Papers
MCCE: A Framework for Multi-LLM Collaborative Search in Discrete Spaces with Similarity-F…
arXiv cs.AI Research & Papers
Learning Transverse Momentum Distributions from Raw Scattering Events via Conditional Dif…
arXiv cs.AI Research & Papers
Safety Does Not Compose: Non-Decaying Loop State for Autonomous LLM Agents
arXiv cs.AI Research & Papers
Persona-Execution Separation: An Architecture Pattern for Evolving LLM Agents under Execu…
arXiv cs.AI Research & Papers
The BS-meter: Detecting Politics and Labour through ChatGPT's Language
arXiv cs.AI Research & Papers
STEP: State-Aware Task Estimation and Planning with Multi-Modal LLMs for Human-Robot Coll…
arXiv cs.AI Research & Papers
Beyond Linearization: Attributed Table Graphs for Table Reasoning
arXiv cs.AI Research & Papers
Making Clinical Language Models Auditable: Concept-Guided Fine-Tuning for Robust Predicti…
arXiv cs.AI Research & Papers
SWE-Prime: Fewer Trajectories, Better Performance
arXiv cs.AI Research & Papers
LLM-Powered Swarms: A New Frontier or a Conceptual Stretch?
arXiv cs.AI Research & Papers
Do Language Models Follow Occam's Razor? An Evaluation of Parsimony in Inductive and Abdu…
arXiv cs.AI Research & Papers
PACE: A Unified Condense-and-Extract Paradigm for Fast VLM Inference
arXiv cs.AI Research & Papers
Nomad: Autonomous Exploration and Discovery
arXiv cs.AI Research & Papers
Rethinking the Evaluation of Harness Evolution for Agents
arXiv cs.AI Research & Papers
Communication styles and reader preferences of LLM- and human-authored COVID-19 informati…
arXiv cs.AI Research & Papers
GSM8K-V: Can Vision Language Models Solve Grade School Math Word Problems in Visual Conte…
arXiv cs.AI Research & Papers
DeepPlanner: Scaling Planning Capability for Deep Research Agents via Advantage Shaping
arXiv cs.AI Research & Papers
Residual Reward Models: Leveraging Prior Knowledge for Efficient Preference-based Reinfor…
arXiv cs.AI Research & Papers
Beyond the Rosetta Stone: Unification Forces in Generalization Dynamics
arXiv cs.AI Research & Papers
From Static to Dynamic: Benchmarking Real-World Code Review with MCR-Bench
arXiv cs.AI Research & Papers
SIGMA: Structured Noise-Effect-Aware Grouped Multi-Agent Aggregation
arXiv cs.AI Research & Papers
Successive Capacity Growth: Task-Complexity-Driven Width and Depth Expansion for Vision T…
arXiv cs.AI Research & Papers
Refine-POI: Reinforcement Fine-Tuned Large Language Models for Next Point-of-Interest Rec…
arXiv cs.AI Research & Papers
Beyond Classification: Task-Dependent Learnability under Privacy-Motivated Image Transfor…
arXiv cs.AI Research & Papers
When Text Misleads: Inconsistent-Aware Reasoning for Audio-Grounded Dialogue
arXiv cs.AI Research & Papers
TADP: Task-Aware Deformable Prediction for Single-Stage 3D Object Detection