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Machine Learning

Engineering notes: Service-level Mixture-of-Experts + test-verified publishing in a self-improvement loop [R]

We've been running an autonomous problem solver with a closed reasoning loop: observe → hypothesize → write Python transform(grid) → run ...

Reddit - Machine Learning · 1 min ·
Machine Learning

Why production systems keep making “correct” decisions that are no longer right [D]

I’ve been looking at a recurring failure pattern across AI systems in production. Not model failure, or data quality or infrastructure. S...

Reddit - Machine Learning · 1 min ·
Machine Learning

Advice on becoming a research engineer [D]

I am thinking about becoming a research engineer, and want to ask your advice on how realistic it is, and which strategies make sense in ...

Reddit - Machine Learning · 1 min ·

All Content

[2603.27513] Understanding Semantic Perturbations on In-Processing Generative Image Watermarks
Machine Learning

[2603.27513] Understanding Semantic Perturbations on In-Processing Generative Image Watermarks

Abstract page for arXiv paper 2603.27513: Understanding Semantic Perturbations on In-Processing Generative Image Watermarks

arXiv - AI · 4 min ·
[2603.27533] Demo-Pose: Depth-Monocular Modality Fusion For Object Pose Estimation
Machine Learning

[2603.27533] Demo-Pose: Depth-Monocular Modality Fusion For Object Pose Estimation

Abstract page for arXiv paper 2603.27533: Demo-Pose: Depth-Monocular Modality Fusion For Object Pose Estimation

arXiv - AI · 3 min ·
[2603.27517] A Systematic Taxonomy of Security Vulnerabilities in the OpenClaw AI Agent Framework
Llms

[2603.27517] A Systematic Taxonomy of Security Vulnerabilities in the OpenClaw AI Agent Framework

Abstract page for arXiv paper 2603.27517: A Systematic Taxonomy of Security Vulnerabilities in the OpenClaw AI Agent Framework

arXiv - AI · 4 min ·
[2603.27494] Learning to Focus and Precise Cropping: A Reinforcement Learning Framework with Information Gaps and Grounding Loss for MLLMs
Llms

[2603.27494] Learning to Focus and Precise Cropping: A Reinforcement Learning Framework with Information Gaps and Grounding Loss for MLLMs

Abstract page for arXiv paper 2603.27494: Learning to Focus and Precise Cropping: A Reinforcement Learning Framework with Information Gap...

arXiv - AI · 4 min ·
[2603.27492] Copilot-Assisted Second-Thought Framework for Brain-to-Robot Hand Motion Decoding
Machine Learning

[2603.27492] Copilot-Assisted Second-Thought Framework for Brain-to-Robot Hand Motion Decoding

Abstract page for arXiv paper 2603.27492: Copilot-Assisted Second-Thought Framework for Brain-to-Robot Hand Motion Decoding

arXiv - Machine Learning · 4 min ·
[2603.27490] AgentSwing: Adaptive Parallel Context Management Routing for Long-Horizon Web Agents
Llms

[2603.27490] AgentSwing: Adaptive Parallel Context Management Routing for Long-Horizon Web Agents

Abstract page for arXiv paper 2603.27490: AgentSwing: Adaptive Parallel Context Management Routing for Long-Horizon Web Agents

arXiv - AI · 4 min ·
[2603.27460] Project Imaging-X: A Survey of 1000+ Open-Access Medical Imaging Datasets for Foundation Model Development
Llms

[2603.27460] Project Imaging-X: A Survey of 1000+ Open-Access Medical Imaging Datasets for Foundation Model Development

Abstract page for arXiv paper 2603.27460: Project Imaging-X: A Survey of 1000+ Open-Access Medical Imaging Datasets for Foundation Model ...

arXiv - AI · 5 min ·
[2603.27482] Difference Feedback: Generating Multimodal Process-Level Supervision for VLM Reinforcement Learning
Llms

[2603.27482] Difference Feedback: Generating Multimodal Process-Level Supervision for VLM Reinforcement Learning

Abstract page for arXiv paper 2603.27482: Difference Feedback: Generating Multimodal Process-Level Supervision for VLM Reinforcement Lear...

arXiv - AI · 3 min ·
[2603.27441] Evaluating Large and Lightweight Vision Models for Irregular Component Segmentation in E-Waste Disassembly
Machine Learning

[2603.27441] Evaluating Large and Lightweight Vision Models for Irregular Component Segmentation in E-Waste Disassembly

Abstract page for arXiv paper 2603.27441: Evaluating Large and Lightweight Vision Models for Irregular Component Segmentation in E-Waste ...

arXiv - AI · 4 min ·
[2603.27451] Multi-Agent Dialectical Refinement for Enhanced Argument Classification
Llms

[2603.27451] Multi-Agent Dialectical Refinement for Enhanced Argument Classification

Abstract page for arXiv paper 2603.27451: Multi-Agent Dialectical Refinement for Enhanced Argument Classification

arXiv - AI · 3 min ·
[2603.27435] Improving Attributed Long-form Question Answering with Intent Awareness
Llms

[2603.27435] Improving Attributed Long-form Question Answering with Intent Awareness

Abstract page for arXiv paper 2603.27435: Improving Attributed Long-form Question Answering with Intent Awareness

arXiv - AI · 3 min ·
[2603.27414] Multiple-Prediction-Powered Inference
Machine Learning

[2603.27414] Multiple-Prediction-Powered Inference

Abstract page for arXiv paper 2603.27414: Multiple-Prediction-Powered Inference

arXiv - AI · 3 min ·
[2603.27410] Grounding Social Perception in Intuitive Physics
Machine Learning

[2603.27410] Grounding Social Perception in Intuitive Physics

Abstract page for arXiv paper 2603.27410: Grounding Social Perception in Intuitive Physics

arXiv - AI · 4 min ·
[2603.27356] Culturally Adaptive Explainable LLM Assessment for Multilingual Information Disorder: A Human-in-the-Loop Approach
Llms

[2603.27356] Culturally Adaptive Explainable LLM Assessment for Multilingual Information Disorder: A Human-in-the-Loop Approach

Abstract page for arXiv paper 2603.27356: Culturally Adaptive Explainable LLM Assessment for Multilingual Information Disorder: A Human-i...

arXiv - AI · 3 min ·
[2603.27325] Improving Automated Wound Assessment Using Joint Boundary Segmentation and Multi-Class Classification Models
Machine Learning

[2603.27325] Improving Automated Wound Assessment Using Joint Boundary Segmentation and Multi-Class Classification Models

Abstract page for arXiv paper 2603.27325: Improving Automated Wound Assessment Using Joint Boundary Segmentation and Multi-Class Classifi...

arXiv - AI · 4 min ·
[2603.27306] GUIDE: Guided Updates for In-context Decision Evolution in LLM-Driven Spacecraft Operations
Llms

[2603.27306] GUIDE: Guided Updates for In-context Decision Evolution in LLM-Driven Spacecraft Operations

Abstract page for arXiv paper 2603.27306: GUIDE: Guided Updates for In-context Decision Evolution in LLM-Driven Spacecraft Operations

arXiv - AI · 3 min ·
[2603.27296] A Multi-agent AI System for Deep Learning Model Migration from TensorFlow to JAX
Machine Learning

[2603.27296] A Multi-agent AI System for Deep Learning Model Migration from TensorFlow to JAX

Abstract page for arXiv paper 2603.27296: A Multi-agent AI System for Deep Learning Model Migration from TensorFlow to JAX

arXiv - AI · 4 min ·
[2603.27295] Beyond Descriptions: A Generative Scene2Audio Framework for Blind and Low-Vision Users to Experience Vista Landscapes
Machine Learning

[2603.27295] Beyond Descriptions: A Generative Scene2Audio Framework for Blind and Low-Vision Users to Experience Vista Landscapes

Abstract page for arXiv paper 2603.27295: Beyond Descriptions: A Generative Scene2Audio Framework for Blind and Low-Vision Users to Exper...

arXiv - AI · 3 min ·
[2603.27277] Codebase-Memory: Tree-Sitter-Based Knowledge Graphs for LLM Code Exploration via MCP
Llms

[2603.27277] Codebase-Memory: Tree-Sitter-Based Knowledge Graphs for LLM Code Exploration via MCP

Abstract page for arXiv paper 2603.27277: Codebase-Memory: Tree-Sitter-Based Knowledge Graphs for LLM Code Exploration via MCP

arXiv - AI · 3 min ·
[2603.27269] From Foundation ECG Models to NISQ Learners: Distilling ECGFounder into a VQC Student
Llms

[2603.27269] From Foundation ECG Models to NISQ Learners: Distilling ECGFounder into a VQC Student

Abstract page for arXiv paper 2603.27269: From Foundation ECG Models to NISQ Learners: Distilling ECGFounder into a VQC Student

arXiv - AI · 3 min ·
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