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[2604.16909] PRISM: Probing Reasoning, Instruction, and Source Memory in LLM Hallucinations
Llms

[2604.16909] PRISM: Probing Reasoning, Instruction, and Source Memory in LLM Hallucinations

Abstract page for arXiv paper 2604.16909: PRISM: Probing Reasoning, Instruction, and Source Memory in LLM Hallucinations

arXiv - AI · 4 min ·
[2603.17717] Machine Learning for Network Attacks Classification and Statistical Evaluation of Adversarial Learning Methodologies for Synthetic Data Generation
Machine Learning

[2603.17717] Machine Learning for Network Attacks Classification and Statistical Evaluation of Adversarial Learning Methodologies for Synthetic Data Generation

Abstract page for arXiv paper 2603.17717: Machine Learning for Network Attacks Classification and Statistical Evaluation of Adversarial L...

arXiv - AI · 4 min ·
[2604.07802] Latent Anomaly Knowledge Excavation: Unveiling Sparse Sensitive Neurons in Vision-Language Models
Llms

[2604.07802] Latent Anomaly Knowledge Excavation: Unveiling Sparse Sensitive Neurons in Vision-Language Models

Abstract page for arXiv paper 2604.07802: Latent Anomaly Knowledge Excavation: Unveiling Sparse Sensitive Neurons in Vision-Language Models

arXiv - AI · 4 min ·

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[2604.05732] Graph Topology Information Enhanced Heterogeneous Graph Representation Learning
Machine Learning

[2604.05732] Graph Topology Information Enhanced Heterogeneous Graph Representation Learning

Abstract page for arXiv paper 2604.05732: Graph Topology Information Enhanced Heterogeneous Graph Representation Learning

arXiv - Machine Learning · 4 min ·
[2604.05730] Controllable Image Generation with Composed Parallel Token Prediction
Machine Learning

[2604.05730] Controllable Image Generation with Composed Parallel Token Prediction

Abstract page for arXiv paper 2604.05730: Controllable Image Generation with Composed Parallel Token Prediction

arXiv - Machine Learning · 3 min ·
[2604.05700] Optimal-Transport-Guided Functional Flow Matching for Turbulent Field Generation in Hilbert Space
Machine Learning

[2604.05700] Optimal-Transport-Guided Functional Flow Matching for Turbulent Field Generation in Hilbert Space

Abstract page for arXiv paper 2604.05700: Optimal-Transport-Guided Functional Flow Matching for Turbulent Field Generation in Hilbert Space

arXiv - Machine Learning · 4 min ·
[2604.05635] From Uniform to Learned Knots: A Study of Spline-Based Numerical Encodings for Tabular Deep Learning
Machine Learning

[2604.05635] From Uniform to Learned Knots: A Study of Spline-Based Numerical Encodings for Tabular Deep Learning

Abstract page for arXiv paper 2604.05635: From Uniform to Learned Knots: A Study of Spline-Based Numerical Encodings for Tabular Deep Lea...

arXiv - Machine Learning · 4 min ·
[2604.05613] Same Graph, Different Likelihoods: Calibration of Autoregressive Graph Generators via Permutation-Equivalent Encodings
Llms

[2604.05613] Same Graph, Different Likelihoods: Calibration of Autoregressive Graph Generators via Permutation-Equivalent Encodings

Abstract page for arXiv paper 2604.05613: Same Graph, Different Likelihoods: Calibration of Autoregressive Graph Generators via Permutati...

arXiv - Machine Learning · 3 min ·
[2604.05426] ALTO: Adaptive LoRA Tuning and Orchestration for Heterogeneous LoRA Training Workloads
Llms

[2604.05426] ALTO: Adaptive LoRA Tuning and Orchestration for Heterogeneous LoRA Training Workloads

Abstract page for arXiv paper 2604.05426: ALTO: Adaptive LoRA Tuning and Orchestration for Heterogeneous LoRA Training Workloads

arXiv - AI · 4 min ·
[2604.05414] Training Without Orthogonalization, Inference With SVD: A Gradient Analysis of Rotation Representations
Machine Learning

[2604.05414] Training Without Orthogonalization, Inference With SVD: A Gradient Analysis of Rotation Representations

Abstract page for arXiv paper 2604.05414: Training Without Orthogonalization, Inference With SVD: A Gradient Analysis of Rotation Represe...

arXiv - Machine Learning · 4 min ·
[2604.05374] LMI-Net: Linear Matrix Inequality--Constrained Neural Networks via Differentiable Projection Layers
Machine Learning

[2604.05374] LMI-Net: Linear Matrix Inequality--Constrained Neural Networks via Differentiable Projection Layers

Abstract page for arXiv paper 2604.05374: LMI-Net: Linear Matrix Inequality--Constrained Neural Networks via Differentiable Projection La...

arXiv - Machine Learning · 3 min ·
[2604.05335] Cross-Machine Anomaly Detection Leveraging Pre-trained Time-series Model
Machine Learning

[2604.05335] Cross-Machine Anomaly Detection Leveraging Pre-trained Time-series Model

Abstract page for arXiv paper 2604.05335: Cross-Machine Anomaly Detection Leveraging Pre-trained Time-series Model

arXiv - Machine Learning · 3 min ·
[2604.05324] A Theoretical Framework for Statistical Evaluability of Generative Models
Machine Learning

[2604.05324] A Theoretical Framework for Statistical Evaluability of Generative Models

Abstract page for arXiv paper 2604.05324: A Theoretical Framework for Statistical Evaluability of Generative Models

arXiv - Machine Learning · 4 min ·
[2604.05306] LLMs Should Express Uncertainty Explicitly
Llms

[2604.05306] LLMs Should Express Uncertainty Explicitly

Abstract page for arXiv paper 2604.05306: LLMs Should Express Uncertainty Explicitly

arXiv - AI · 4 min ·
[2604.05257] Extending Tabular Denoising Diffusion Probabilistic Models for Time-Series Data Generation
Machine Learning

[2604.05257] Extending Tabular Denoising Diffusion Probabilistic Models for Time-Series Data Generation

Abstract page for arXiv paper 2604.05257: Extending Tabular Denoising Diffusion Probabilistic Models for Time-Series Data Generation

arXiv - AI · 4 min ·
[2604.05250] DualDiffusion: A Speculative Decoding Strategy for Masked Diffusion Models
Llms

[2604.05250] DualDiffusion: A Speculative Decoding Strategy for Masked Diffusion Models

Abstract page for arXiv paper 2604.05250: DualDiffusion: A Speculative Decoding Strategy for Masked Diffusion Models

arXiv - Machine Learning · 3 min ·
[2604.05248] Improving Sparse Memory Finetuning
Llms

[2604.05248] Improving Sparse Memory Finetuning

Abstract page for arXiv paper 2604.05248: Improving Sparse Memory Finetuning

arXiv - Machine Learning · 3 min ·
[2604.05230] Curvature-Aware Optimization for High-Accuracy Physics-Informed Neural Networks
Machine Learning

[2604.05230] Curvature-Aware Optimization for High-Accuracy Physics-Informed Neural Networks

Abstract page for arXiv paper 2604.05230: Curvature-Aware Optimization for High-Accuracy Physics-Informed Neural Networks

arXiv - AI · 3 min ·
[2604.05217] On the Geometry of Positional Encodings in Transformers
Llms

[2604.05217] On the Geometry of Positional Encodings in Transformers

Abstract page for arXiv paper 2604.05217: On the Geometry of Positional Encodings in Transformers

arXiv - Machine Learning · 4 min ·
[2604.05185] Cross-fitted Proximal Learning for Model-Based Reinforcement Learning
Machine Learning

[2604.05185] Cross-fitted Proximal Learning for Model-Based Reinforcement Learning

Abstract page for arXiv paper 2604.05185: Cross-fitted Proximal Learning for Model-Based Reinforcement Learning

arXiv - Machine Learning · 4 min ·
[2604.05181] General Multimodal Protein Design Enables DNA-Encoding of Chemistry
Machine Learning

[2604.05181] General Multimodal Protein Design Enables DNA-Encoding of Chemistry

Abstract page for arXiv paper 2604.05181: General Multimodal Protein Design Enables DNA-Encoding of Chemistry

arXiv - Machine Learning · 3 min ·
[2604.05164] Not All Turns Are Equally Hard: Adaptive Thinking Budgets For Efficient Multi-Turn Reasoning
Llms

[2604.05164] Not All Turns Are Equally Hard: Adaptive Thinking Budgets For Efficient Multi-Turn Reasoning

Abstract page for arXiv paper 2604.05164: Not All Turns Are Equally Hard: Adaptive Thinking Budgets For Efficient Multi-Turn Reasoning

arXiv - Machine Learning · 4 min ·
[2604.05134] Reasoning Through Chess: How Reasoning Evolves from Data Through Fine-Tuning and Reinforcement Learning
Llms

[2604.05134] Reasoning Through Chess: How Reasoning Evolves from Data Through Fine-Tuning and Reinforcement Learning

Abstract page for arXiv paper 2604.05134: Reasoning Through Chess: How Reasoning Evolves from Data Through Fine-Tuning and Reinforcement ...

arXiv - AI · 4 min ·
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