A Survey on Unlearnable Data
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Noticias de IA
27413 elementos — filtrados, clasificados y sin duplicados
OMAC: A Holistic Optimization Framework for LLM-Based Multi-Agent Collaboration
Data Balancing Strategies: A Systematic Survey of Resampling and Augmentation Methods
Prismatic Synthesis: Gradient-based Data Diversification Boosts Generalization in LLM Rea…
Learning MMSE Filters for OFDM Channel Estimation: Attention Transformer Gains at Linear …
Sequential Attention-based Sampling for Histopathological Analysis
Symmetric Behavior Regularized Policy Optimization
"Not in My Backyard": LLMs Uncover Online and Offline Social Biases Against Homelessness
Is "Knowing It's Malicious Enough?" Evaluating LLMs for Fine-Grained Malware Behavior Aud…
From Evidence to Trajectory: Abductive Reasoning Path Synthesis for Retrieval-Augmented G…
Spatiotemporal Knowledge Graphs as Persistent Scene Memory for Embodied Question Answering
Probing the Difficulty Perception Mechanism of Large Language Models
When Fewer Layers Break More Chains: Layer Pruning Harms Test-Time Scaling in LLMs
Stress Testing Concept Erasure with Large Language Model Agents
Dynamic Defense Profiling Enables Cognitive Jailbreak of Text-to-Image Models
InertialAR: Autoregressive 3D Molecule Generation with Inertial Frames
CORE -- A Cell-Level Coarse-to-Fine Image Registration Engine for Multi-stain Image Align…
DSBench: A Comprehensive Benchmark for Evaluating External and In-Cabin Risks
SONAR: Spectral-Contrastive Audio Residuals for Generalizable Deepfake Detection
When AI Takes the Couch: Psychometric Jailbreaks Reveal Internal Conflict in Frontier Mod…
mHC-GNN: Manifold-Constrained Hyper-Connections for Graph Neural Networks
SoMA: A Real-to-Sim Neural Simulator for Robotic Soft-body Manipulation
Sparsity-Aware Low-Rank Representation for Efficient Fine-Tuning of Large Language Models
Hybrid Mamba-Attention Neural Architecture for Channel Estimation
Li-ViP3D++: Query-Gated Deformable Camera-LiDAR Fusion for End-to-End Perception and Traj…
Evaluating LLMs When They Do Not Know the Answer: Statistical Evaluation of Mathematical …
UnMaskFork: Test-Time Scaling for Masked Diffusion via Deterministic Action Branching
Thermodynamic Limits of Physical Intelligence
GradAlign: Gradient-Aligned Data Selection for LLM Reinforcement Learning
Breaking the Factorization Barrier in Diffusion Language Models