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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 ·
Llms

I built a repo for implementing and training LLM architectures from scratch in minimal PyTorch — contributions welcome! [P]

Hey everyone, I've been working on a repo where I implement large language model architectures using the simplest PyTorch code possible. ...

Reddit - Machine Learning · 1 min ·

All Content

[2507.10610] LaSM: Layer-wise Scaling Mechanism for Defending Pop-up Attack on GUI Agents
Llms

[2507.10610] LaSM: Layer-wise Scaling Mechanism for Defending Pop-up Attack on GUI Agents

Abstract page for arXiv paper 2507.10610: LaSM: Layer-wise Scaling Mechanism for Defending Pop-up Attack on GUI Agents

arXiv - AI · 4 min ·
[2506.10848] Accelerating Diffusion Large Language Models with SlowFast Sampling: The Three Golden Principles
Llms

[2506.10848] Accelerating Diffusion Large Language Models with SlowFast Sampling: The Three Golden Principles

Abstract page for arXiv paper 2506.10848: Accelerating Diffusion Large Language Models with SlowFast Sampling: The Three Golden Principles

arXiv - AI · 4 min ·
[2506.09082] AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models
Llms

[2506.09082] AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models

Abstract page for arXiv paper 2506.09082: AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models

arXiv - AI · 4 min ·
[2506.07578] Denoising the Future: Top-p Distributions for Moving Through Time
Machine Learning

[2506.07578] Denoising the Future: Top-p Distributions for Moving Through Time

Abstract page for arXiv paper 2506.07578: Denoising the Future: Top-p Distributions for Moving Through Time

arXiv - AI · 4 min ·
[2506.06858] FA-INR: Adaptive Implicit Neural Representations for Interpretable Exploration of Simulation Ensembles
Machine Learning

[2506.06858] FA-INR: Adaptive Implicit Neural Representations for Interpretable Exploration of Simulation Ensembles

Abstract page for arXiv paper 2506.06858: FA-INR: Adaptive Implicit Neural Representations for Interpretable Exploration of Simulation En...

arXiv - AI · 4 min ·
[2505.18602] LLM-Meta-SR: In-Context Learning for Evolving Selection Operators in Symbolic Regression
Llms

[2505.18602] LLM-Meta-SR: In-Context Learning for Evolving Selection Operators in Symbolic Regression

Abstract page for arXiv paper 2505.18602: LLM-Meta-SR: In-Context Learning for Evolving Selection Operators in Symbolic Regression

arXiv - AI · 4 min ·
[2505.00022] Aleph-Alpha-GermanWeb: Improving German-language LLM pre-training with model-based data curation and synthetic data generation
Llms

[2505.00022] Aleph-Alpha-GermanWeb: Improving German-language LLM pre-training with model-based data curation and synthetic data generation

Abstract page for arXiv paper 2505.00022: Aleph-Alpha-GermanWeb: Improving German-language LLM pre-training with model-based data curatio...

arXiv - AI · 4 min ·
[2504.17180] We'll Fix it in Post: Improving Text-to-Video Generation with Neuro-Symbolic Feedback
Machine Learning

[2504.17180] We'll Fix it in Post: Improving Text-to-Video Generation with Neuro-Symbolic Feedback

Abstract page for arXiv paper 2504.17180: We'll Fix it in Post: Improving Text-to-Video Generation with Neuro-Symbolic Feedback

arXiv - AI · 4 min ·
[2407.04472] EventChat: Implementation and user-centric evaluation of a large language model-driven conversational recommender system for exploring leisure events in an SME context
Llms

[2407.04472] EventChat: Implementation and user-centric evaluation of a large language model-driven conversational recommender system for exploring leisure events in an SME context

Abstract page for arXiv paper 2407.04472: EventChat: Implementation and user-centric evaluation of a large language model-driven conversa...

arXiv - AI · 4 min ·
[2407.03004] SemioLLM: Evaluating Large Language Models for Diagnostic Reasoning from Unstructured Clinical Narratives in Epilepsy
Llms

[2407.03004] SemioLLM: Evaluating Large Language Models for Diagnostic Reasoning from Unstructured Clinical Narratives in Epilepsy

Abstract page for arXiv paper 2407.03004: SemioLLM: Evaluating Large Language Models for Diagnostic Reasoning from Unstructured Clinical ...

arXiv - AI · 4 min ·
[2309.02022] Early Exiting Predictive Coding Neural Networks for Edge AI
Machine Learning

[2309.02022] Early Exiting Predictive Coding Neural Networks for Edge AI

Abstract page for arXiv paper 2309.02022: Early Exiting Predictive Coding Neural Networks for Edge AI

arXiv - AI · 3 min ·
[2603.06679] MultiGen: Level-Design for Editable Multiplayer Worlds in Diffusion Game Engines
Machine Learning

[2603.06679] MultiGen: Level-Design for Editable Multiplayer Worlds in Diffusion Game Engines

Abstract page for arXiv paper 2603.06679: MultiGen: Level-Design for Editable Multiplayer Worlds in Diffusion Game Engines

arXiv - AI · 3 min ·
[2602.03006] Distilling LLM Reasoning into Graph of Concept Predictors
Llms

[2602.03006] Distilling LLM Reasoning into Graph of Concept Predictors

Abstract page for arXiv paper 2602.03006: Distilling LLM Reasoning into Graph of Concept Predictors

arXiv - AI · 3 min ·
[2601.13358] The Geometry of Thought: How Scale Restructures Reasoning In Large Language Models
Llms

[2601.13358] The Geometry of Thought: How Scale Restructures Reasoning In Large Language Models

Abstract page for arXiv paper 2601.13358: The Geometry of Thought: How Scale Restructures Reasoning In Large Language Models

arXiv - AI · 4 min ·
[2512.00818] Med-CMR: A Fine-Grained Benchmark Integrating Visual Evidence and Clinical Logic for Medical Complex Multimodal Reasoning
Llms

[2512.00818] Med-CMR: A Fine-Grained Benchmark Integrating Visual Evidence and Clinical Logic for Medical Complex Multimodal Reasoning

Abstract page for arXiv paper 2512.00818: Med-CMR: A Fine-Grained Benchmark Integrating Visual Evidence and Clinical Logic for Medical Co...

arXiv - AI · 4 min ·
[2511.16625] MedBayes-Lite: Bayesian Uncertainty Quantification for Safe Clinical Decision Support
Llms

[2511.16625] MedBayes-Lite: Bayesian Uncertainty Quantification for Safe Clinical Decision Support

Abstract page for arXiv paper 2511.16625: MedBayes-Lite: Bayesian Uncertainty Quantification for Safe Clinical Decision Support

arXiv - AI · 3 min ·
[2510.14538] Symbol Grounding in Neuro-Symbolic AI: A Gentle Introduction to Reasoning Shortcuts
Machine Learning

[2510.14538] Symbol Grounding in Neuro-Symbolic AI: A Gentle Introduction to Reasoning Shortcuts

Abstract page for arXiv paper 2510.14538: Symbol Grounding in Neuro-Symbolic AI: A Gentle Introduction to Reasoning Shortcuts

arXiv - AI · 4 min ·
[2506.21458] MindCube: Spatial Mental Modeling from Limited Views
Llms

[2506.21458] MindCube: Spatial Mental Modeling from Limited Views

Abstract page for arXiv paper 2506.21458: MindCube: Spatial Mental Modeling from Limited Views

arXiv - AI · 4 min ·
[2508.08115] TeamMedAgents: Pareto-Efficient Multi-Agent Medical Reasoning Through Teamwork Theory
Llms

[2508.08115] TeamMedAgents: Pareto-Efficient Multi-Agent Medical Reasoning Through Teamwork Theory

Abstract page for arXiv paper 2508.08115: TeamMedAgents: Pareto-Efficient Multi-Agent Medical Reasoning Through Teamwork Theory

arXiv - AI · 3 min ·
[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 ·
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