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arXiv3d ago

Logic-Guided Graph Denoising Diffusion Models

arXiv4d ago

Spurious Attention Heads in Vision Transformers: Mechanistic Identification of Annotation-Driven Bias in Medical Chest X-Ray Analysis

arXiv3d ago

Data-Efficient Classifier Pretraining Through Diffusion Models

arXiv4d ago

When Does Uncertainty Measure RAG Hallucination Risk?

arXiv3d ago

Learning to Be Guided: Shaping Latent Geometry for Classifier-Free Guidance

arXiv7d ago

Learning, Compression, and Meta-Complexity

arXiv5d ago

Sparse Transformer: a Controlled Testbed for Mechanistic Interpretability

arXiv4d ago

ReState: Noise-Level-Aware State Correction for Training-Free Object Removal in Few-Step Diffusion Models

arXiv5d ago

OrionMoE-v1.0: A Mixture-of-Experts Foundation Model for Tabular In-Context Learning

arXiv5d ago

MAEM: Mitigating Recency Bias via a Replay-Free, Capacity-Controlled Dynamic Mixture of Experts for Class-Incremental Graph Learning

arXiv5d ago

Why don't Graph Transformers attend to the same token?

arXiv5d ago

Denoising Score Matching in Diffusion Models: The Effect of Rank Constraints on Generalization

arXiv6d ago

Bytes to Threats: Byte-Sequence Transformer For Malware Detection

arXiv6d ago

MIST: Multi-Scale Spatial Context for Gene Expression Prediction from Histology

arXiv6d ago

Learning Source Structure: Bayesian Prediction with Transformers

arXiv5d ago

Purify Before You Align: Improving Representation Alignment for Diffusion Models

arXiv4d ago

Spectral-Spatial Interpretation

arXiv6d ago

Neural Dimensional Analysis: Foundations of Dimensionless and Scale-Consistent Computation

arXiv4d ago

From Adults to Children: Benchmarking Foundation Models for Chest X-Ray Classification under Domain Shift

arXiv4d ago

FlashAttention with Statistics: Low-Overhead Attention Features for Compact Hallucination Detectors

arXiv7d ago

Event-Centric Earthquake Monitoring with a Multi-Station Transformer

arXiv7d ago

Measure Neural Mappings

arXiv7d ago

HybridDualPathNet: Cross-Fusion Attention of EfficientNetV2 and Swin Transformer for Brain MRI Classification of Alzheimer's and Parkinson's Disease

arXiv7d ago

Gluing Local Contexts into Global Meaning: A Sheaf-Theoretic Decomposition of Transformer Representations

arXiv6d ago

Loss Curvature as a Sampling-Free Proxy for Memorization in Diffusion Models

arXiv6d ago

Discrete Diffusion Models are Minimax Optimal Under Sparsity

arXiv6d ago

Minimax rates for pointwise CATE estimation: the role of design smoothness

arXiv7d ago

DTA-GT: Direction- and Topology-Aware Graph Transformer for Neural Network Representation Learning

Hugging Face Daily Papers13d ago

U-Space: Uncovering When and Why Uncertainty Arises in Language Models

arXiv6d ago

Rarity Determines Minimax Rates of Semantic Entropy From Weak Pairwise Judgments With a Known Channel

arXiv5d ago

Gray-Box Hallucination Detection in LLMs with Token Identities

arXiv6d ago

Discovering Undisclosed Concepts in LoRA Adapters for Diffusion-Based AIGC Models

arXiv5d ago

Learning Individual Scientific Taste with Privileged Hindsight Distillation

Hugging Face Daily Papers5d ago

Diminishing Returns of Data in Sparse Autoencoders: Functional Behavior does not Guarantee Feature Reproducibility

arXiv5d ago

Are You Reading the Right Thing? Rethinking Internal Signals for Prompt-Injection Detection

arXiv8d ago

An Explainable System for Offensive Content Detection in Nastaliq Urdu: Corpus Curation, Transformer Benchmarking, and Word-Level Attribution

arXiv7d ago

Reasoning for Propaganda Detection via Label-Guided CoT Optimisation

arXiv8d ago

DRanker: A Transformer-Based Multi-Task Ranking Model for the Disney+ Homepage

arXiv6d ago

TRACER: Trace-Regularized Training Against Indirect Prompt Injection