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Llms

[P] ClaudeFormer: Building a Transformer Out of Claudes — Collaboration Request

I'm looking to work with people interested in math, machine learning, or agentic coding, on creating a multi-agent framework to do fronti...

Reddit - Machine Learning · 1 min ·
UMKC Announces New Master of Science in Artificial Intelligence
Ai Infrastructure

UMKC Announces New Master of Science in Artificial Intelligence

UMKC announces a new Master of Science in Artificial Intelligence program aimed at addressing workforce demand for AI expertise, set to l...

AI News - General · 4 min ·
Machine Learning

[D] Looking for definition of open-world ish learning problem

Hello! Recently I did a project where I initially had around 30 target classes. But at inference, the model had to be able to handle a lo...

Reddit - Machine Learning · 1 min ·

All Content

[2410.15281] LLM4AD: Large Language Models for Autonomous Driving -- Concept, Review, Benchmark, Experiments, and Future Trends
Llms

[2410.15281] LLM4AD: Large Language Models for Autonomous Driving -- Concept, Review, Benchmark, Experiments, and Future Trends

Abstract page for arXiv paper 2410.15281: LLM4AD: Large Language Models for Autonomous Driving -- Concept, Review, Benchmark, Experiments...

arXiv - AI · 4 min ·
[2410.10700] LLMs know their vulnerabilities: Uncover Safety Gaps through Natural Distribution Shifts
Llms

[2410.10700] LLMs know their vulnerabilities: Uncover Safety Gaps through Natural Distribution Shifts

Abstract page for arXiv paper 2410.10700: LLMs know their vulnerabilities: Uncover Safety Gaps through Natural Distribution Shifts

arXiv - AI · 4 min ·
[2408.13366] CodeRefine: A Pipeline for Enhancing LLM-Generated Code Implementations of Research Papers
Llms

[2408.13366] CodeRefine: A Pipeline for Enhancing LLM-Generated Code Implementations of Research Papers

Abstract page for arXiv paper 2408.13366: CodeRefine: A Pipeline for Enhancing LLM-Generated Code Implementations of Research Papers

arXiv - Machine Learning · 3 min ·
[2404.05290] MindSet: Vision. A toolbox for testing DNNs on key psychological experiments
Machine Learning

[2404.05290] MindSet: Vision. A toolbox for testing DNNs on key psychological experiments

Abstract page for arXiv paper 2404.05290: MindSet: Vision. A toolbox for testing DNNs on key psychological experiments

arXiv - AI · 4 min ·
[2401.11605] Scalable High-Resolution Pixel-Space Image Synthesis with Hourglass Diffusion Transformers
Machine Learning

[2401.11605] Scalable High-Resolution Pixel-Space Image Synthesis with Hourglass Diffusion Transformers

Abstract page for arXiv paper 2401.11605: Scalable High-Resolution Pixel-Space Image Synthesis with Hourglass Diffusion Transformers

arXiv - Machine Learning · 3 min ·
[2402.12760] A User-Friendly Framework for Generating Model-Preferred Prompts in Text-to-Image Synthesis
Machine Learning

[2402.12760] A User-Friendly Framework for Generating Model-Preferred Prompts in Text-to-Image Synthesis

Abstract page for arXiv paper 2402.12760: A User-Friendly Framework for Generating Model-Preferred Prompts in Text-to-Image Synthesis

arXiv - AI · 4 min ·
[2603.19091] Position: Spectral GNNs Are Neither Spectral Nor Superior for Node Classification
Machine Learning

[2603.19091] Position: Spectral GNNs Are Neither Spectral Nor Superior for Node Classification

Abstract page for arXiv paper 2603.19091: Position: Spectral GNNs Are Neither Spectral Nor Superior for Node Classification

arXiv - Machine Learning · 4 min ·
[2603.24402] AI-Supervisor: Autonomous AI Research Supervision via a Persistent Research World Model
Machine Learning

[2603.24402] AI-Supervisor: Autonomous AI Research Supervision via a Persistent Research World Model

Abstract page for arXiv paper 2603.24402: AI-Supervisor: Autonomous AI Research Supervision via a Persistent Research World Model

arXiv - AI · 4 min ·
[2603.16951] Minimum-Action Learning: Energy-Constrained Symbolic Model Selection for Physical Law Identification from Noisy Data
Machine Learning

[2603.16951] Minimum-Action Learning: Energy-Constrained Symbolic Model Selection for Physical Law Identification from Noisy Data

Abstract page for arXiv paper 2603.16951: Minimum-Action Learning: Energy-Constrained Symbolic Model Selection for Physical Law Identific...

arXiv - Machine Learning · 4 min ·
[2603.23610] Environment Maps: Structured Environmental Representations for Long-Horizon Agents
Llms

[2603.23610] Environment Maps: Structured Environmental Representations for Long-Horizon Agents

Abstract page for arXiv paper 2603.23610: Environment Maps: Structured Environmental Representations for Long-Horizon Agents

arXiv - AI · 4 min ·
[2601.21747] Temporal Sepsis Modeling: a Fully Interpretable Relational Way
Machine Learning

[2601.21747] Temporal Sepsis Modeling: a Fully Interpretable Relational Way

Abstract page for arXiv paper 2601.21747: Temporal Sepsis Modeling: a Fully Interpretable Relational Way

arXiv - Machine Learning · 3 min ·
[2603.08561] RetroAgent: From Solving to Evolving via Retrospective Dual Intrinsic Feedback
Llms

[2603.08561] RetroAgent: From Solving to Evolving via Retrospective Dual Intrinsic Feedback

Abstract page for arXiv paper 2603.08561: RetroAgent: From Solving to Evolving via Retrospective Dual Intrinsic Feedback

arXiv - AI · 4 min ·
[2601.18420] Gradient Regularized Natural Gradients
Machine Learning

[2601.18420] Gradient Regularized Natural Gradients

Abstract page for arXiv paper 2601.18420: Gradient Regularized Natural Gradients

arXiv - Machine Learning · 4 min ·
[2511.07436] Analysing Environmental Efficiency in AI for X-Ray Diagnosis
Llms

[2511.07436] Analysing Environmental Efficiency in AI for X-Ray Diagnosis

Abstract page for arXiv paper 2511.07436: Analysing Environmental Efficiency in AI for X-Ray Diagnosis

arXiv - AI · 4 min ·
[2601.02856] Electricity Price Forecasting: Bridging Linear Models, Neural Networks and Online Learning
Machine Learning

[2601.02856] Electricity Price Forecasting: Bridging Linear Models, Neural Networks and Online Learning

Abstract page for arXiv paper 2601.02856: Electricity Price Forecasting: Bridging Linear Models, Neural Networks and Online Learning

arXiv - Machine Learning · 4 min ·
[2601.00428] Interpretable ML Under the Microscope: Performance, Meta-Features, and the Regression-Classification Predictability Gap
Machine Learning

[2601.00428] Interpretable ML Under the Microscope: Performance, Meta-Features, and the Regression-Classification Predictability Gap

Abstract page for arXiv paper 2601.00428: Interpretable ML Under the Microscope: Performance, Meta-Features, and the Regression-Classific...

arXiv - Machine Learning · 4 min ·
[2510.18087] Planned Diffusion
Llms

[2510.18087] Planned Diffusion

Abstract page for arXiv paper 2510.18087: Planned Diffusion

arXiv - AI · 4 min ·
[2509.23768] From What to Why: A Multi-Agent System for Evidence-based Chemical Reaction Condition Reasoning
Llms

[2509.23768] From What to Why: A Multi-Agent System for Evidence-based Chemical Reaction Condition Reasoning

Abstract page for arXiv paper 2509.23768: From What to Why: A Multi-Agent System for Evidence-based Chemical Reaction Condition Reasoning

arXiv - AI · 3 min ·
[2512.18951] Benchmarking Attribute Discrimination in Infant-Scale Vision-Language Models
Llms

[2512.18951] Benchmarking Attribute Discrimination in Infant-Scale Vision-Language Models

Abstract page for arXiv paper 2512.18951: Benchmarking Attribute Discrimination in Infant-Scale Vision-Language Models

arXiv - Machine Learning · 3 min ·
[2509.03345] Do Language Models Follow Occam's Razor? An Evaluation of Parsimony in Inductive and Abductive Reasoning
Llms

[2509.03345] Do Language Models Follow Occam's Razor? An Evaluation of Parsimony in Inductive and Abductive Reasoning

Abstract page for arXiv paper 2509.03345: Do Language Models Follow Occam's Razor? An Evaluation of Parsimony in Inductive and Abductive ...

arXiv - AI · 4 min ·
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