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Machine Learning

[D] Got my first offer after months of searching — below posted range, contract-to-hire, and worried it may pause my search. Do I take it?

I could really use some outside perspective. I’m a senior ML/CV engineer in Canada with about 5–6 years across research and industry. Mas...

Reddit - Machine Learning · 1 min ·
Machine Learning

[Research] AI training is bad, so I started an research

Hello, I started researching about AI training Q:Why? R: Because AI training is bad right now. Q: What do you mean its bad? R: Like when ...

Reddit - Machine Learning · 1 min ·
Machine Learning

[P] Unix philosophy for ML pipelines: modular, swappable stages with typed contracts

We built an open-source prototype that applies Unix philosophy to retrieval pipelines. Each stage (PII redaction, chunking, dedup, embedd...

Reddit - Machine Learning · 1 min ·

All Content

[2603.24647] Can LLMs Beat Classical Hyperparameter Optimization Algorithms? A Study on autoresearch
Llms

[2603.24647] Can LLMs Beat Classical Hyperparameter Optimization Algorithms? A Study on autoresearch

Abstract page for arXiv paper 2603.24647: Can LLMs Beat Classical Hyperparameter Optimization Algorithms? A Study on autoresearch

arXiv - Machine Learning · 4 min ·
[2603.25326] Evaluating Language Models for Harmful Manipulation
Llms

[2603.25326] Evaluating Language Models for Harmful Manipulation

Abstract page for arXiv paper 2603.25326: Evaluating Language Models for Harmful Manipulation

arXiv - AI · 4 min ·
[2603.24644] Physics-Informed Neural Network Digital Twin for Dynamic Tray-Wise Modeling of Distillation Columns under Transient Operating Conditions
Machine Learning

[2603.24644] Physics-Informed Neural Network Digital Twin for Dynamic Tray-Wise Modeling of Distillation Columns under Transient Operating Conditions

Abstract page for arXiv paper 2603.24644: Physics-Informed Neural Network Digital Twin for Dynamic Tray-Wise Modeling of Distillation Col...

arXiv - Machine Learning · 4 min ·
[2603.24639] Experiential Reflective Learning for Self-Improving LLM Agents
Llms

[2603.24639] Experiential Reflective Learning for Self-Improving LLM Agents

Abstract page for arXiv paper 2603.24639: Experiential Reflective Learning for Self-Improving LLM Agents

arXiv - AI · 3 min ·
[2603.25284] SliderQuant: Accurate Post-Training Quantization for LLMs
Llms

[2603.25284] SliderQuant: Accurate Post-Training Quantization for LLMs

Abstract page for arXiv paper 2603.25284: SliderQuant: Accurate Post-Training Quantization for LLMs

arXiv - AI · 4 min ·
[2603.25283] A Gait Foundation Model Predicts Multi-System Health Phenotypes from 3D Skeletal Motion
Llms

[2603.25283] A Gait Foundation Model Predicts Multi-System Health Phenotypes from 3D Skeletal Motion

Abstract page for arXiv paper 2603.25283: A Gait Foundation Model Predicts Multi-System Health Phenotypes from 3D Skeletal Motion

arXiv - AI · 3 min ·
[2603.24638] How unconstrained machine-learning models learn physical symmetries
Machine Learning

[2603.24638] How unconstrained machine-learning models learn physical symmetries

Abstract page for arXiv paper 2603.24638: How unconstrained machine-learning models learn physical symmetries

arXiv - Machine Learning · 4 min ·
[2603.25273] Distribution and Clusters Approximations as Abstract Domains in Probabilistic Abstract Interpretation to Neural Network Analysis
Machine Learning

[2603.25273] Distribution and Clusters Approximations as Abstract Domains in Probabilistic Abstract Interpretation to Neural Network Analysis

Abstract page for arXiv paper 2603.25273: Distribution and Clusters Approximations as Abstract Domains in Probabilistic Abstract Interpre...

arXiv - AI · 3 min ·
[2603.25266] Probabilistic Abstract Interpretation on Neural Networks via Grids Approximation
Machine Learning

[2603.25266] Probabilistic Abstract Interpretation on Neural Networks via Grids Approximation

Abstract page for arXiv paper 2603.25266: Probabilistic Abstract Interpretation on Neural Networks via Grids Approximation

arXiv - AI · 3 min ·
[2603.25158] Trace2Skill: Distill Trajectory-Local Lessons into Transferable Agent Skills
Llms

[2603.25158] Trace2Skill: Distill Trajectory-Local Lessons into Transferable Agent Skills

Abstract page for arXiv paper 2603.25158: Trace2Skill: Distill Trajectory-Local Lessons into Transferable Agent Skills

arXiv - AI · 4 min ·
[2603.25133] RubricEval: A Rubric-Level Meta-Evaluation Benchmark for LLM Judges in Instruction Following
Llms

[2603.25133] RubricEval: A Rubric-Level Meta-Evaluation Benchmark for LLM Judges in Instruction Following

Abstract page for arXiv paper 2603.25133: RubricEval: A Rubric-Level Meta-Evaluation Benchmark for LLM Judges in Instruction Following

arXiv - AI · 3 min ·
[2603.25097] ElephantBroker: A Knowledge-Grounded Cognitive Runtime for Trustworthy AI Agents
Llms

[2603.25097] ElephantBroker: A Knowledge-Grounded Cognitive Runtime for Trustworthy AI Agents

Abstract page for arXiv paper 2603.25097: ElephantBroker: A Knowledge-Grounded Cognitive Runtime for Trustworthy AI Agents

arXiv - AI · 4 min ·
[2603.25075] Sparse Visual Thought Circuits in Vision-Language Models
Llms

[2603.25075] Sparse Visual Thought Circuits in Vision-Language Models

Abstract page for arXiv paper 2603.25075: Sparse Visual Thought Circuits in Vision-Language Models

arXiv - AI · 3 min ·
[2603.25046] MP-MoE: Matrix Profile-Guided Mixture of Experts for Precipitation Forecasting
Machine Learning

[2603.25046] MP-MoE: Matrix Profile-Guided Mixture of Experts for Precipitation Forecasting

Abstract page for arXiv paper 2603.25046: MP-MoE: Matrix Profile-Guided Mixture of Experts for Precipitation Forecasting

arXiv - Machine Learning · 4 min ·
[2603.25035] Mechanistically Interpreting Compression in Vision-Language Models
Llms

[2603.25035] Mechanistically Interpreting Compression in Vision-Language Models

Abstract page for arXiv paper 2603.25035: Mechanistically Interpreting Compression in Vision-Language Models

arXiv - AI · 3 min ·
[2603.25031] From Stateless to Situated: Building a Psychological World for LLM-Based Emotional Support
Llms

[2603.25031] From Stateless to Situated: Building a Psychological World for LLM-Based Emotional Support

Abstract page for arXiv paper 2603.25031: From Stateless to Situated: Building a Psychological World for LLM-Based Emotional Support

arXiv - AI · 4 min ·
[2603.25022] A Public Theory of Distillation Resistance via Constraint-Coupled Reasoning Architectures
Machine Learning

[2603.25022] A Public Theory of Distillation Resistance via Constraint-Coupled Reasoning Architectures

Abstract page for arXiv paper 2603.25022: A Public Theory of Distillation Resistance via Constraint-Coupled Reasoning Architectures

arXiv - Machine Learning · 3 min ·
[2603.24967] The Anatomy of Uncertainty in LLMs
Llms

[2603.24967] The Anatomy of Uncertainty in LLMs

Abstract page for arXiv paper 2603.24967: The Anatomy of Uncertainty in LLMs

arXiv - AI · 3 min ·
[2603.24963] Design Once, Deploy at Scale: Template-Driven ML Development for Large Model Ecosystems
Machine Learning

[2603.24963] Design Once, Deploy at Scale: Template-Driven ML Development for Large Model Ecosystems

Abstract page for arXiv paper 2603.24963: Design Once, Deploy at Scale: Template-Driven ML Development for Large Model Ecosystems

arXiv - Machine Learning · 4 min ·
[2603.24961] Can MLLMs Read Students' Minds? Unpacking Multimodal Error Analysis in Handwritten Math
Llms

[2603.24961] Can MLLMs Read Students' Minds? Unpacking Multimodal Error Analysis in Handwritten Math

Abstract page for arXiv paper 2603.24961: Can MLLMs Read Students' Minds? Unpacking Multimodal Error Analysis in Handwritten Math

arXiv - AI · 4 min ·
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