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Machine Learning

easyaligner: Forced alignment with GPU acceleration and flexible text normalization (compatible with all w2v2 models on HF Hub) [P]

https://preview.redd.it/f4d5krhkjyvg1.png?width=1020&format=png&auto=webp&s=11310f377b22abbe3dd110cc7d362ba8aae35f8d I have b...

Reddit - Machine Learning · 1 min ·
Machine Learning

ICML 2026 - Heavy score variance among various batches? [D]

I've seen some people say in their batch very few papers have above 3.5 score, but then other reviewers say that most papers in their sco...

Reddit - Machine Learning · 1 min ·
Machine Learning

We’re proud to open-source LIDARLearn [R] [D] [P]

It’s a unified PyTorch library for 3D point cloud deep learning. To our knowledge, it’s the first framework that supports such a large co...

Reddit - Machine Learning · 1 min ·

All Content

[2603.30036] Aligned, Orthogonal or In-conflict: When can we safely optimize Chain-of-Thought?
Llms

[2603.30036] Aligned, Orthogonal or In-conflict: When can we safely optimize Chain-of-Thought?

Abstract page for arXiv paper 2603.30036: Aligned, Orthogonal or In-conflict: When can we safely optimize Chain-of-Thought?

arXiv - AI · 4 min ·
[2603.30040] Automatic Identification of Parallelizable Loops Using Transformer-Based Source Code Representations
Machine Learning

[2603.30040] Automatic Identification of Parallelizable Loops Using Transformer-Based Source Code Representations

Abstract page for arXiv paper 2603.30040: Automatic Identification of Parallelizable Loops Using Transformer-Based Source Code Representa...

arXiv - AI · 4 min ·
[2603.30033] Tucker Attention: A generalization of approximate attention mechanisms
Machine Learning

[2603.30033] Tucker Attention: A generalization of approximate attention mechanisms

Abstract page for arXiv paper 2603.30033: Tucker Attention: A generalization of approximate attention mechanisms

arXiv - AI · 4 min ·
[2603.30022] Hybrid Framework for Robotic Manipulation: Integrating Reinforcement Learning and Large Language Models
Llms

[2603.30022] Hybrid Framework for Robotic Manipulation: Integrating Reinforcement Learning and Large Language Models

Abstract page for arXiv paper 2603.30022: Hybrid Framework for Robotic Manipulation: Integrating Reinforcement Learning and Large Languag...

arXiv - AI · 3 min ·
[2603.30016] Architecting Secure AI Agents: Perspectives on System-Level Defenses Against Indirect Prompt Injection Attacks
Llms

[2603.30016] Architecting Secure AI Agents: Perspectives on System-Level Defenses Against Indirect Prompt Injection Attacks

Abstract page for arXiv paper 2603.30016: Architecting Secure AI Agents: Perspectives on System-Level Defenses Against Indirect Prompt In...

arXiv - AI · 4 min ·
[2603.30014] Scalable AI-assisted Workflow Management for Detector Design Optimization Using Distributed Computing
Machine Learning

[2603.30014] Scalable AI-assisted Workflow Management for Detector Design Optimization Using Distributed Computing

Abstract page for arXiv paper 2603.30014: Scalable AI-assisted Workflow Management for Detector Design Optimization Using Distributed Com...

arXiv - AI · 3 min ·
[2603.29999] Phyelds: A Pythonic Framework for Aggregate Computing
Machine Learning

[2603.29999] Phyelds: A Pythonic Framework for Aggregate Computing

Abstract page for arXiv paper 2603.29999: Phyelds: A Pythonic Framework for Aggregate Computing

arXiv - AI · 4 min ·
[2603.29977] Quantifying Cross-Modal Interactions in Multimodal Glioma Survival Prediction via InterSHAP: Evidence for Additive Signal Integration
Machine Learning

[2603.29977] Quantifying Cross-Modal Interactions in Multimodal Glioma Survival Prediction via InterSHAP: Evidence for Additive Signal Integration

Abstract page for arXiv paper 2603.29977: Quantifying Cross-Modal Interactions in Multimodal Glioma Survival Prediction via InterSHAP: Ev...

arXiv - Machine Learning · 3 min ·
[2603.29968] Trimodal Deep Learning for Glioma Survival Prediction: A Feasibility Study Integrating Histopathology, Gene Expression, and MRI
Machine Learning

[2603.29968] Trimodal Deep Learning for Glioma Survival Prediction: A Feasibility Study Integrating Histopathology, Gene Expression, and MRI

Abstract page for arXiv paper 2603.29968: Trimodal Deep Learning for Glioma Survival Prediction: A Feasibility Study Integrating Histopat...

arXiv - AI · 4 min ·
[2603.29932] Bethe Ansatz with a Large Language Model
Llms

[2603.29932] Bethe Ansatz with a Large Language Model

Abstract page for arXiv paper 2603.29932: Bethe Ansatz with a Large Language Model

arXiv - AI · 4 min ·
[2603.29922] Training deep learning based dynamic MR image reconstruction using synthetic fractals
Machine Learning

[2603.29922] Training deep learning based dynamic MR image reconstruction using synthetic fractals

Abstract page for arXiv paper 2603.29922: Training deep learning based dynamic MR image reconstruction using synthetic fractals

arXiv - AI · 4 min ·
[2603.29927] End-to-End Image Compression with Segmentation Guided Dual Coding for Wind Turbines
Machine Learning

[2603.29927] End-to-End Image Compression with Segmentation Guided Dual Coding for Wind Turbines

Abstract page for arXiv paper 2603.29927: End-to-End Image Compression with Segmentation Guided Dual Coding for Wind Turbines

arXiv - AI · 4 min ·
[2603.29913] SISA: A Scale-In Systolic Array for GEMM Acceleration
Llms

[2603.29913] SISA: A Scale-In Systolic Array for GEMM Acceleration

Abstract page for arXiv paper 2603.29913: SISA: A Scale-In Systolic Array for GEMM Acceleration

arXiv - AI · 3 min ·
[2603.29897] UniRank: End-to-End Domain-Specific Reranking of Hybrid Text-Image Candidates
Llms

[2603.29897] UniRank: End-to-End Domain-Specific Reranking of Hybrid Text-Image Candidates

Abstract page for arXiv paper 2603.29897: UniRank: End-to-End Domain-Specific Reranking of Hybrid Text-Image Candidates

arXiv - AI · 4 min ·
[2603.29890] Interview-Informed Generative Agents for Product Discovery: A Validation Study
Llms

[2603.29890] Interview-Informed Generative Agents for Product Discovery: A Validation Study

Abstract page for arXiv paper 2603.29890: Interview-Informed Generative Agents for Product Discovery: A Validation Study

arXiv - AI · 3 min ·
[2603.29888] Generative AI in Action: Field Experimental Evidence from Alibaba's Customer Service Operations
Machine Learning

[2603.29888] Generative AI in Action: Field Experimental Evidence from Alibaba's Customer Service Operations

Abstract page for arXiv paper 2603.29888: Generative AI in Action: Field Experimental Evidence from Alibaba's Customer Service Operations

arXiv - AI · 4 min ·
[2603.29878] Performance Evaluation of LLMs in Automated RDF Knowledge Graph Generation
Llms

[2603.29878] Performance Evaluation of LLMs in Automated RDF Knowledge Graph Generation

Abstract page for arXiv paper 2603.29878: Performance Evaluation of LLMs in Automated RDF Knowledge Graph Generation

arXiv - AI · 4 min ·
[2603.29865] Wildfire Suppression: Complexity, Models, and Instances
Machine Learning

[2603.29865] Wildfire Suppression: Complexity, Models, and Instances

Abstract page for arXiv paper 2603.29865: Wildfire Suppression: Complexity, Models, and Instances

arXiv - AI · 3 min ·
[2603.29860] GENIE: Gram-Eigenmode INR Editing with Closed-Form Geometry Updates
Machine Learning

[2603.29860] GENIE: Gram-Eigenmode INR Editing with Closed-Form Geometry Updates

Abstract page for arXiv paper 2603.29860: GENIE: Gram-Eigenmode INR Editing with Closed-Form Geometry Updates

arXiv - AI · 3 min ·
[2603.29844] DIAL: Decoupling Intent and Action via Latent World Modeling for End-to-End VLA
Llms

[2603.29844] DIAL: Decoupling Intent and Action via Latent World Modeling for End-to-End VLA

Abstract page for arXiv paper 2603.29844: DIAL: Decoupling Intent and Action via Latent World Modeling for End-to-End VLA

arXiv - AI · 4 min ·
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