When Do LLMs Reason? A Dynamical Systems View via Entropy Phase Transitions
Explorar
Noticias de IA
27413 elementos — filtrados, clasificados y sin duplicados
DRL-Driven Edge-Aware Utility Optimization for Multi-Slice 6G Networks
Anytime Training with Schedule-Free Spectral Optimization
Dreaming Smoothly and Sample Efficiently with Gradient Penalized Latent Dynamics
CoReVAD: A Contextual Reasoning Framework for Training-Free Video Anomaly Detection
Dithering Defense: Adversarial Robustness of Vision Foundation Models via Multi-Level Flo…
SimInsert: Seamless Video Object Insertion via Regional Sparse Attention Fusion
Enhancing Deep Neural Network Reliability with Refinement and Calibration
Score-Based One-step MeanFlow Policy Optimization
PaP-NF: Probabilistic Long-Term Time Series Forecasting via Prefix-as-Prompt Reprogrammin…
Multi-Gate Residuals
Coloring the Noise: Adversarial Sobolev Alignment for Faithful Image Super Resolution
Reinforcement Learning for Microcanonical Graph Ensemble with Assortativity Constraints
Curriculum reinforcement learning with measurable task representation learning
Parametric Prior Mapping Framework for Non-stationary Probabilistic Time Series Forecasti…
Reflex: Reinforcement Learning with Reflection Symmetry Exploitation in State-Based Conti…
Tensor Cache: Eviction-conditioned Associative Memory for Transformers
Transcoders Trace Visual Grounding and Hallucinations in Vision-Language Models
Graph Alignment Topology as an Inductive Bias for Grounding Detection
Worse than Random: The Importance of a Baseline for Unsupervised Feature Selection
Whose Good, Whose Place? The Moral Geography of Agentic AI for Social Good
A Fine-Tuned BERT Classifier for Personal-Letter Titles in Late-Ming and Early-Qing Colle…
Defining AI Fatigue in Academic Contexts: Dimensions, Indicators, and a Stage-Based Model…
As X, Do Y: How Persona and Task Combine in Instruction-Tuned LLMs
Positional Failures in Long-Context LLMs: A Blind Spot in Reasoning Benchmarks
Understanding and Improving Noisy Embedding Techniques in Instruction Finetuning
More Context, Larger Models, or Moral Knowledge? A Systematic Study of Schwartz Value Det…
PhenoYieldNet: Learning Crop-Aware Phenological Responses for Multi-Crop Yield Prediction
ARMS: Automatic Reward Shaping for Sparse-Reward Multi-Agent Reinforcement Learning
Entropy-Gradient Inversion: Moving Toward Internal Mechanism of Large Reasoning Models