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Llms

Framesworks For Supporting Benchmarking [P]

I think the way we are approaching benchmarking is a bit problematic. From reading about how frontier labs benchmark their models, they e...

Reddit - Machine Learning · 1 min ·
Machine Learning

AI/ML Algorithm Simulation & Visualization Tool [Project]

Hello everyone! I built an AI/ML algorithm simulation and visualization app. You can run each algorithm step-by-step, edit parameters, an...

Reddit - Machine Learning · 1 min ·
Machine Learning

So Confused about Polarizing ICML Reviews [D]

Hi, rebuttals recently finished, and I wanted to share my paper's scores to ask for thoughts on this, and whether this situation is borde...

Reddit - Machine Learning · 1 min ·

All Content

[2603.24472] Why Does Self-Distillation (Sometimes) Degrade the Reasoning Capability of LLMs?
Llms

[2603.24472] Why Does Self-Distillation (Sometimes) Degrade the Reasoning Capability of LLMs?

Abstract page for arXiv paper 2603.24472: Why Does Self-Distillation (Sometimes) Degrade the Reasoning Capability of LLMs?

arXiv - Machine Learning · 3 min ·
[2603.24477] Composer 2 Technical Report
Machine Learning

[2603.24477] Composer 2 Technical Report

Abstract page for arXiv paper 2603.24477: Composer 2 Technical Report

arXiv - Machine Learning · 4 min ·
[2603.24400] Neural Network Models for Contextual Regression
Machine Learning

[2603.24400] Neural Network Models for Contextual Regression

Abstract page for arXiv paper 2603.24400: Neural Network Models for Contextual Regression

arXiv - Machine Learning · 3 min ·
[2603.24396] Exploring How Fair Model Representations Relate to Fair Recommendations
Machine Learning

[2603.24396] Exploring How Fair Model Representations Relate to Fair Recommendations

Abstract page for arXiv paper 2603.24396: Exploring How Fair Model Representations Relate to Fair Recommendations

arXiv - Machine Learning · 3 min ·
[2603.24392] Federated fairness-aware classification under differential privacy
Machine Learning

[2603.24392] Federated fairness-aware classification under differential privacy

Abstract page for arXiv paper 2603.24392: Federated fairness-aware classification under differential privacy

arXiv - Machine Learning · 3 min ·
[2603.24369] Adaptive decision-making for stochastic service network design
Machine Learning

[2603.24369] Adaptive decision-making for stochastic service network design

Abstract page for arXiv paper 2603.24369: Adaptive decision-making for stochastic service network design

arXiv - Machine Learning · 4 min ·
[2603.24323] Connecting Meteorite Spectra to Lunar Surface Composition Using Hyperspectral Imaging and Machine Learning
Machine Learning

[2603.24323] Connecting Meteorite Spectra to Lunar Surface Composition Using Hyperspectral Imaging and Machine Learning

Abstract page for arXiv paper 2603.24323: Connecting Meteorite Spectra to Lunar Surface Composition Using Hyperspectral Imaging and Machi...

arXiv - Machine Learning · 4 min ·
[2603.24304] CGRL: Causal-Guided Representation Learning for Graph Out-of-Distribution Generalization
Machine Learning

[2603.24304] CGRL: Causal-Guided Representation Learning for Graph Out-of-Distribution Generalization

Abstract page for arXiv paper 2603.24304: CGRL: Causal-Guided Representation Learning for Graph Out-of-Distribution Generalization

arXiv - Machine Learning · 3 min ·
[2603.24239] DVM: Real-Time Kernel Generation for Dynamic AI Models
Machine Learning

[2603.24239] DVM: Real-Time Kernel Generation for Dynamic AI Models

Abstract page for arXiv paper 2603.24239: DVM: Real-Time Kernel Generation for Dynamic AI Models

arXiv - Machine Learning · 4 min ·
[2603.24226] UniScale: Synergistic Entire Space Data and Model Scaling for Search Ranking
Llms

[2603.24226] UniScale: Synergistic Entire Space Data and Model Scaling for Search Ranking

Abstract page for arXiv paper 2603.24226: UniScale: Synergistic Entire Space Data and Model Scaling for Search Ranking

arXiv - Machine Learning · 4 min ·
[2603.24209] HEART-PFL: Stable Personalized Federated Learning under Heterogeneity with Hierarchical Directional Alignment and Adversarial Knowledge Transfer
Machine Learning

[2603.24209] HEART-PFL: Stable Personalized Federated Learning under Heterogeneity with Hierarchical Directional Alignment and Adversarial Knowledge Transfer

Abstract page for arXiv paper 2603.24209: HEART-PFL: Stable Personalized Federated Learning under Heterogeneity with Hierarchical Directi...

arXiv - Machine Learning · 4 min ·
[2603.24196] Quantum Neural Physics: Solving Partial Differential Equations on Quantum Simulators using Quantum Convolutional Neural Networks
Machine Learning

[2603.24196] Quantum Neural Physics: Solving Partial Differential Equations on Quantum Simulators using Quantum Convolutional Neural Networks

Abstract page for arXiv paper 2603.24196: Quantum Neural Physics: Solving Partial Differential Equations on Quantum Simulators using Quan...

arXiv - Machine Learning · 4 min ·
[2603.24167] Walma: Learning to See Memory Corruption in WebAssembly
Machine Learning

[2603.24167] Walma: Learning to See Memory Corruption in WebAssembly

Abstract page for arXiv paper 2603.24167: Walma: Learning to See Memory Corruption in WebAssembly

arXiv - Machine Learning · 3 min ·
[2603.24150] A visual observation on the geometry of UMAP projections of the difference vectors of antonym and synonym word pair embeddings
Machine Learning

[2603.24150] A visual observation on the geometry of UMAP projections of the difference vectors of antonym and synonym word pair embeddings

Abstract page for arXiv paper 2603.24150: A visual observation on the geometry of UMAP projections of the difference vectors of antonym a...

arXiv - Machine Learning · 3 min ·
[2603.24139] Tutor-Student Reinforcement Learning: A Dynamic Curriculum for Robust Deepfake Detection
Machine Learning

[2603.24139] Tutor-Student Reinforcement Learning: A Dynamic Curriculum for Robust Deepfake Detection

Abstract page for arXiv paper 2603.24139: Tutor-Student Reinforcement Learning: A Dynamic Curriculum for Robust Deepfake Detection

arXiv - Machine Learning · 4 min ·
[2603.24111] Toward a Multi-Layer ML-Based Security Framework for Industrial IoT
Machine Learning

[2603.24111] Toward a Multi-Layer ML-Based Security Framework for Industrial IoT

Abstract page for arXiv paper 2603.24111: Toward a Multi-Layer ML-Based Security Framework for Industrial IoT

arXiv - Machine Learning · 4 min ·
[2603.24083] Knowledge-Guided Manipulation Using Multi-Task Reinforcement Learning
Machine Learning

[2603.24083] Knowledge-Guided Manipulation Using Multi-Task Reinforcement Learning

Abstract page for arXiv paper 2603.24083: Knowledge-Guided Manipulation Using Multi-Task Reinforcement Learning

arXiv - Machine Learning · 4 min ·
[2603.24016] COVTrack++: Learning Open-Vocabulary Multi-Object Tracking from Continuous Videos via a Synergistic Paradigm
Machine Learning

[2603.24016] COVTrack++: Learning Open-Vocabulary Multi-Object Tracking from Continuous Videos via a Synergistic Paradigm

Abstract page for arXiv paper 2603.24016: COVTrack++: Learning Open-Vocabulary Multi-Object Tracking from Continuous Videos via a Synergi...

arXiv - Machine Learning · 4 min ·
[2603.24054] Hierarchical Spatial-Temporal Graph-Enhanced Model for Map-Matching
Machine Learning

[2603.24054] Hierarchical Spatial-Temporal Graph-Enhanced Model for Map-Matching

Abstract page for arXiv paper 2603.24054: Hierarchical Spatial-Temporal Graph-Enhanced Model for Map-Matching

arXiv - Machine Learning · 4 min ·
[2603.24041] Minimal Sufficient Representations for Self-interpretable Deep Neural Networks
Machine Learning

[2603.24041] Minimal Sufficient Representations for Self-interpretable Deep Neural Networks

Abstract page for arXiv paper 2603.24041: Minimal Sufficient Representations for Self-interpretable Deep Neural Networks

arXiv - Machine Learning · 3 min ·
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