MasFACT: Continual Multi-Agent Topology Learning via Geometry-Aware Posterior Transfer
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Noticias de IA
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MAVEN: A Multi-stage Agentic Annotation Pipeline for Video Reasoning Tasks
CriterAlign: Criterion-Centric Rationale Alignment for Code Preference Judging
LoKA: Low-precision Kernel Applications for Recommendation Models At Scale
DeepTutor: Towards Agentic Personalized Tutoring
Predicting Scale-Up of Metal-Organic Framework Syntheses with Large Language Models
Peer-Predictive Self-Training for Language Model Reasoning
LSRM: High-Fidelity Object-Centric Reconstruction via Scaled Context Windows
Neural Harmonic Textures for High-Quality Primitive Based Neural Reconstruction
Echoes: A semantically-aligned music deepfake detection dataset
The Phasor Transformer: Resolving Attention Bottlenecks on the Unit Circle
PhasorFlow: A Python Library for Unit Circle Based Computing
Safe Flow Q-Learning: Offline Safe Reinforcement Learning with Reachability-Based Flow Po…
Curvature-Weighted Capacity Allocation: A Minimum Description Length Framework for Layer-…
Curriculum Learning for Efficient Chain-of-Thought Distillation via Structure-Aware Maski…
An Online Reference-Free Evaluation Framework for Flowchart Image-to-Code Generation
Towards Isolated Interventions via Almost Orthogonal Features in Language Models
Rethinking LLM-as-a-Judge: Representation-as-a-Judge with Small Language Models via Seman…
GenDA: Generative Data Assimilation on Complex Urban Areas via Classifier-Free Diffusion …
Bridging Cognitive Neuroscience and Graph Intelligence: Hippocampus-Inspired Multi-View H…
SwinIFS: Landmark Guided Swin Transformer For Identity Preserving Face Super Resolution
CoCo-Fed: A Unified Framework for Memory- and Communication-Efficient Federated Learning …
Deep Neural Networks as Discrete Dynamical Systems: Implications for Physics-Informed Lea…
Adaptive Generation of Bias-Eliciting Questions for LLMs
MultiFair: Multimodal Balanced Fairness-Aware Medical Classification with Dual-Level Grad…
How Causal Abstraction Underpins Computational Explanation
Less Is More: Reducing Token Counts Without Compromising Performance
Concept-as-Tree: A Controllable Synthetic Data Framework Makes Stronger Personalized VLMs
Simulator Ensembles for Trustworthy Autonomous Driving Systems Testing
ParamMute: Suppressing Knowledge-Critical FFNs for Faithful Retrieval-Augmented Generation