Rethinking Scientific Modeling: Toward Physically Consistent and Simulation-Executable Pr…
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Noticias de IA
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Better Source, Better Flow: Learning Condition-Dependent Source Distribution for Flow Mat…
Global Geometry Is Not Enough for Vision Representations
Med-Scout: Curing MLLMs' Geometric Blindness in Medical Perception via Geometry-Aware RL …
Physics-Encoded Inverse Modeling for Arctic Snow Depth Prediction
Prototypicality Bias Reveals Blindspots in Multimodal Evaluation Metrics
Paradoxical noise preference in RNNs
Dynamic Entropy Tuning in Reinforcement Learning Low-Level Quadcopter Control: Stochastic…
Calibrating Uncertainty for Zero-Shot Adversarial CLIP
VocSim: A Training-free Benchmark for Zero-shot Content Identity in Single-source Audio
ShelfAware: Real-Time Semantic Localization in Quasi-Static Environments with Low-Cost Se…
Latent Reasoning in TRMs is Secretly a Policy Improvement Operator
Optimal Bayesian Stopping for Efficient Inference of Consistent LLM Answers
CARES: Context-Aware Resolution Selector for VLMs
Characterizing Web Search in The Age of Generative AI
Rethinking RL Evaluation: Can Benchmarks Truly Reveal Failures of RL Methods?
Make a Video Call with LLM: A Measurement Campaign over Six Mainstream Apps
End-to-End Deep Learning for Predicting Metric Space-Valued Outputs
Position: Beyond Sensitive Attributes, ML Fairness Should Quantify Structural Injustice v…
Beyond Model Base Retrieval: Weaving Knowledge to Master Fine-grained Neural Network Desi…
A Lightweight Context-Driven Training-Free Network for Scene Text Segmentation and Recogn…
Efficient Weighted Sampling via Score-based Generative Models
Score Function Gradient Estimation to Widen the Applicability of Decision-Focused Learning
Coding Agent Is Good As World Simulator
Agricultural Landscape Understanding At Country-Scale
KnowledgeBerg: Evaluating Systematic Knowledge Coverage and Compositional Reasoning in La…
RadAgent: A tool-using AI agent for stepwise interpretation of chest computed tomography
Rashomon Memory: Towards Argumentation-Driven Retrieval for Multi-Perspective Agent Memory
Model Parallelism With Subnetwork Data Parallelism
On Information Self-Locking in Reinforcement Learning for Active Reasoning of LLM agents