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[2603.16790] InCoder-32B: Code Foundation Model for Industrial Scenarios
Llms

[2603.16790] InCoder-32B: Code Foundation Model for Industrial Scenarios

Abstract page for arXiv paper 2603.16790: InCoder-32B: Code Foundation Model for Industrial Scenarios

arXiv - AI · 4 min ·
[2603.16430] EngGPT2: Sovereign, Efficient and Open Intelligence
Llms

[2603.16430] EngGPT2: Sovereign, Efficient and Open Intelligence

Abstract page for arXiv paper 2603.16430: EngGPT2: Sovereign, Efficient and Open Intelligence

arXiv - AI · 4 min ·
[2603.13846] Is Seeing Believing? Evaluating Human Sensitivity to Synthetic Video
Machine Learning

[2603.13846] Is Seeing Believing? Evaluating Human Sensitivity to Synthetic Video

Abstract page for arXiv paper 2603.13846: Is Seeing Believing? Evaluating Human Sensitivity to Synthetic Video

arXiv - AI · 3 min ·

All Content

[2603.26588] From Synthetic Data to Real Restorations: Diffusion Model for Patient-specific Dental Crown Completion
Machine Learning

[2603.26588] From Synthetic Data to Real Restorations: Diffusion Model for Patient-specific Dental Crown Completion

Abstract page for arXiv paper 2603.26588: From Synthetic Data to Real Restorations: Diffusion Model for Patient-specific Dental Crown Com...

arXiv - Machine Learning · 4 min ·
[2603.26516] ALBA: A European Portuguese Benchmark for Evaluating Language and Linguistic Dimensions in Generative LLMs
Llms

[2603.26516] ALBA: A European Portuguese Benchmark for Evaluating Language and Linguistic Dimensions in Generative LLMs

Abstract page for arXiv paper 2603.26516: ALBA: A European Portuguese Benchmark for Evaluating Language and Linguistic Dimensions in Gene...

arXiv - AI · 3 min ·
[2603.26511] AMALIA Technical Report: A Fully Open Source Large Language Model for European Portuguese
Llms

[2603.26511] AMALIA Technical Report: A Fully Open Source Large Language Model for European Portuguese

Abstract page for arXiv paper 2603.26511: AMALIA Technical Report: A Fully Open Source Large Language Model for European Portuguese

arXiv - AI · 4 min ·
[2603.26506] Identifying Connectivity Distributions from Neural Dynamics Using Flows
Machine Learning

[2603.26506] Identifying Connectivity Distributions from Neural Dynamics Using Flows

Abstract page for arXiv paper 2603.26506: Identifying Connectivity Distributions from Neural Dynamics Using Flows

arXiv - Machine Learning · 4 min ·
[2603.26469] UNIFERENCE: A Discrete Event Simulation Framework for Developing Distributed AI Models
Machine Learning

[2603.26469] UNIFERENCE: A Discrete Event Simulation Framework for Developing Distributed AI Models

Abstract page for arXiv paper 2603.26469: UNIFERENCE: A Discrete Event Simulation Framework for Developing Distributed AI Models

arXiv - AI · 3 min ·
[2603.26456] Fair Data Pre-Processing with Imperfect Attribute Space
Machine Learning

[2603.26456] Fair Data Pre-Processing with Imperfect Attribute Space

Abstract page for arXiv paper 2603.26456: Fair Data Pre-Processing with Imperfect Attribute Space

arXiv - Machine Learning · 3 min ·
[2603.26447] Meta-Learned Adaptive Optimization for Robust Human Mesh Recovery with Uncertainty-Aware Parameter Updates
Machine Learning

[2603.26447] Meta-Learned Adaptive Optimization for Robust Human Mesh Recovery with Uncertainty-Aware Parameter Updates

Abstract page for arXiv paper 2603.26447: Meta-Learned Adaptive Optimization for Robust Human Mesh Recovery with Uncertainty-Aware Parame...

arXiv - Machine Learning · 4 min ·
[2603.26432] Reconstructing Quantum Dot Charge Stability Diagrams with Diffusion Models
Machine Learning

[2603.26432] Reconstructing Quantum Dot Charge Stability Diagrams with Diffusion Models

Abstract page for arXiv paper 2603.26432: Reconstructing Quantum Dot Charge Stability Diagrams with Diffusion Models

arXiv - Machine Learning · 4 min ·
[2603.26418] Kantorovich--Kernel Neural Operators: Approximation Theory, Asymptotics, and Neural Network Interpretation
Machine Learning

[2603.26418] Kantorovich--Kernel Neural Operators: Approximation Theory, Asymptotics, and Neural Network Interpretation

Abstract page for arXiv paper 2603.26418: Kantorovich--Kernel Neural Operators: Approximation Theory, Asymptotics, and Neural Network Int...

arXiv - Machine Learning · 3 min ·
[2603.26351] DuSCN-FusionNet: An Interpretable Dual-Channel Structural Covariance Fusion Framework for ADHD Classification Using Structural MRI
Machine Learning

[2603.26351] DuSCN-FusionNet: An Interpretable Dual-Channel Structural Covariance Fusion Framework for ADHD Classification Using Structural MRI

Abstract page for arXiv paper 2603.26351: DuSCN-FusionNet: An Interpretable Dual-Channel Structural Covariance Fusion Framework for ADHD ...

arXiv - Machine Learning · 4 min ·
[2603.26349] Generative Score Inference for Multimodal Data
Machine Learning

[2603.26349] Generative Score Inference for Multimodal Data

Abstract page for arXiv paper 2603.26349: Generative Score Inference for Multimodal Data

arXiv - AI · 3 min ·
[2603.26344] A Power-Weighted Noncentral Complex Gaussian Distribution
Machine Learning

[2603.26344] A Power-Weighted Noncentral Complex Gaussian Distribution

Abstract page for arXiv paper 2603.26344: A Power-Weighted Noncentral Complex Gaussian Distribution

arXiv - Machine Learning · 4 min ·
[2603.26316] SALMUBench: A Benchmark for Sensitive Association-Level Multimodal Unlearning
Machine Learning

[2603.26316] SALMUBench: A Benchmark for Sensitive Association-Level Multimodal Unlearning

Abstract page for arXiv paper 2603.26316: SALMUBench: A Benchmark for Sensitive Association-Level Multimodal Unlearning

arXiv - Machine Learning · 3 min ·
[2603.26327] Making Multi-Axis Models Robust to Multiplicative Noise: How, and Why?
Machine Learning

[2603.26327] Making Multi-Axis Models Robust to Multiplicative Noise: How, and Why?

Abstract page for arXiv paper 2603.26327: Making Multi-Axis Models Robust to Multiplicative Noise: How, and Why?

arXiv - Machine Learning · 3 min ·
[2603.26318] STN-GPR: A Singularity Tensor Network Framework for Efficient Option Pricing
Machine Learning

[2603.26318] STN-GPR: A Singularity Tensor Network Framework for Efficient Option Pricing

Abstract page for arXiv paper 2603.26318: STN-GPR: A Singularity Tensor Network Framework for Efficient Option Pricing

arXiv - Machine Learning · 4 min ·
[2603.26317] Label-Free Cross-Task LoRA Merging with Null-Space Compression
Machine Learning

[2603.26317] Label-Free Cross-Task LoRA Merging with Null-Space Compression

Abstract page for arXiv paper 2603.26317: Label-Free Cross-Task LoRA Merging with Null-Space Compression

arXiv - AI · 3 min ·
[2603.26309] Semi-structured multi-state delinquency model for mortgage default
Machine Learning

[2603.26309] Semi-structured multi-state delinquency model for mortgage default

Abstract page for arXiv paper 2603.26309: Semi-structured multi-state delinquency model for mortgage default

arXiv - Machine Learning · 4 min ·
[2603.26299] Preference-Aligned LoRA Merging: Preserving Subspace Coverage and Addressing Directional Anisotropy
Machine Learning

[2603.26299] Preference-Aligned LoRA Merging: Preserving Subspace Coverage and Addressing Directional Anisotropy

Abstract page for arXiv paper 2603.26299: Preference-Aligned LoRA Merging: Preserving Subspace Coverage and Addressing Directional Anisot...

arXiv - AI · 3 min ·
[2603.26258] ARTA: Adaptive Mixed-Resolution Token Allocation for Efficient Dense Feature Extraction
Machine Learning

[2603.26258] ARTA: Adaptive Mixed-Resolution Token Allocation for Efficient Dense Feature Extraction

Abstract page for arXiv paper 2603.26258: ARTA: Adaptive Mixed-Resolution Token Allocation for Efficient Dense Feature Extraction

arXiv - AI · 3 min ·
[2603.26246] Distilling Conversations: Abstract Compression of Conversational Audio Context for LLM-based ASR
Llms

[2603.26246] Distilling Conversations: Abstract Compression of Conversational Audio Context for LLM-based ASR

Abstract page for arXiv paper 2603.26246: Distilling Conversations: Abstract Compression of Conversational Audio Context for LLM-based ASR

arXiv - AI · 3 min ·
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