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Noticias de IA

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arXiv cs.AI Research & Papers
Data Driven Optimization of GPU efficiency for Distributed LLM-Adapter Serving
arXiv cs.AI Research & Papers
Gradient Regularization Mitigates Reward Hacking in Reinforcement Learning from Human Fee…
arXiv cs.AI Research & Papers
SpectralGCD: Spectral Concept Selection and Cross-modal Representation Learning for Gener…
arXiv cs.AI Research & Papers
NextCrystal: a Symmetry-Driven Generative Framework for Crystal Structure Prediction
arXiv cs.AI Research & Papers
Learning to Discover Iterative Spectral Algorithms
arXiv cs.AI Research & Papers
rePIRL: Learn PRM with Inverse RL for LLM Reasoning
arXiv cs.AI Research & Papers
Deriving Neural Scaling Laws from the statistics of natural language
arXiv cs.AI Research & Papers
Multi-Way Representation Alignment
arXiv cs.AI Research & Papers
FlashBlock: Attention Caching for Efficient Long-Context Block Diffusion
arXiv cs.AI Research & Papers
A Random Matrix Theory Perspective on the Consistency of Diffusion Models
arXiv cs.AI Research & Papers
MetricAnything: Scaling Metric Depth Pretraining with Noisy Heterogeneous Sources
arXiv cs.AI Research & Papers
BoRP: Bootstrapped Regression Probing for Scalable and Human-Aligned LLM Evaluation
arXiv cs.AI Research & Papers
The Rise of Large Language Models and the Direction and Impact of US Federal Research Fun…
arXiv cs.AI Research & Papers
Tracing 3D Anatomy in 2D Strokes: A Multi-Stage Projection Driven Approach to Cervical Sp…
arXiv cs.AI Research & Papers
Predicting Biased Human Decision-Making with Large Language Models in Conversational Sett…
arXiv cs.AI Research & Papers
One Prompt, Many Sounds: Modeling Listener Variability in LLM-Based Equalization
arXiv cs.AI Research & Papers
Motion Attribution for Video Generation
arXiv cs.AI Research & Papers
ARCQuant: Boosting NVFP4 Quantization with Augmented Residual Channels for LLMs
arXiv cs.AI Research & Papers
Generative Semantic Multi-Object Tracking: A Large-Scale Benchmark and an MLLM-Driven Rea…
arXiv cs.AI Research & Papers
JADAI: Jointly Amortizing Adaptive Design and Bayesian Inference
arXiv cs.AI Research & Papers
EvoXplain: When Machine Learning Models Agree on Predictions but Disagree on Why -- Measu…
arXiv cs.AI Research & Papers
Parameter Efficient Multimodal Instruction Tuning for Romanian Vision Language Models
arXiv cs.AI Research & Papers
AOI: Context-Aware Multi-Agent Operations via Dynamic Scheduling and Hierarchical Memory …
arXiv cs.AI Research & Papers
Developing an LLM-Based Feedback System Grounded in Evidence-Centered Design to Support P…
arXiv cs.AI Research & Papers
KAN vs LSTM Performance in Time Series Forecasting
arXiv cs.AI Research & Papers
Score-Regularized Joint Sampling with Importance Weights for Flow Matching
arXiv cs.AI Research & Papers
Walrus: A Cross-Domain Foundation Model for Continuum Dynamics
arXiv cs.AI Research & Papers
When is a System Discoverable from Data? Discovery Requires Chaos
arXiv cs.AI Research & Papers
SpatialThinker: Reinforcing Scene Graph-Grounded Spatial Reasoning via Dense Rewards
arXiv cs.AI Research & Papers
Large Language Models Develop Novel Social Biases Through Adaptive Exploration