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Improving AI models’ ability to explain their predictions
Machine Learning

Improving AI models’ ability to explain their predictions

AI News - General · 9 min ·
Machine Learning

Auto agent - Self improving domain expertise agent

someone opensource an ai agent that autonomously upgraded itself to #1 across multiple domains in < 24 hours…. then open sourced the e...

Reddit - Artificial Intelligence · 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 ·

All Content

[2603.13606] NCCL EP: Towards a Unified Expert Parallel Communication API for NCCL
Llms

[2603.13606] NCCL EP: Towards a Unified Expert Parallel Communication API for NCCL

Abstract page for arXiv paper 2603.13606: NCCL EP: Towards a Unified Expert Parallel Communication API for NCCL

arXiv - Machine Learning · 4 min ·
[2603.12567] Foundation-Model Surrogates Enable Data-Efficient Active Learning for Materials Discovery
Machine Learning

[2603.12567] Foundation-Model Surrogates Enable Data-Efficient Active Learning for Materials Discovery

Abstract page for arXiv paper 2603.12567: Foundation-Model Surrogates Enable Data-Efficient Active Learning for Materials Discovery

arXiv - Machine Learning · 4 min ·
[2601.07315] VLM-CAD: VLM-Optimized Collaborative Agent Design Workflow for Analog Circuit Sizing
Llms

[2601.07315] VLM-CAD: VLM-Optimized Collaborative Agent Design Workflow for Analog Circuit Sizing

Abstract page for arXiv paper 2601.07315: VLM-CAD: VLM-Optimized Collaborative Agent Design Workflow for Analog Circuit Sizing

arXiv - AI · 4 min ·
[2512.22387] AI-Generated Code Is Not Reproducible (Yet): An Empirical Study of Dependency Gaps in LLM-Based Coding Agents
Llms

[2512.22387] AI-Generated Code Is Not Reproducible (Yet): An Empirical Study of Dependency Gaps in LLM-Based Coding Agents

Abstract page for arXiv paper 2512.22387: AI-Generated Code Is Not Reproducible (Yet): An Empirical Study of Dependency Gaps in LLM-Based...

arXiv - AI · 4 min ·
[2512.21201] Schrödinger's Navigator: Imagining an Ensemble of Futures for Zero-Shot Object Navigation
Machine Learning

[2512.21201] Schrödinger's Navigator: Imagining an Ensemble of Futures for Zero-Shot Object Navigation

Abstract page for arXiv paper 2512.21201: Schrödinger's Navigator: Imagining an Ensemble of Futures for Zero-Shot Object Navigation

arXiv - AI · 4 min ·
[2512.10766] Metaphor-based Jailbreak Attacks on Text-to-Image Models
Machine Learning

[2512.10766] Metaphor-based Jailbreak Attacks on Text-to-Image Models

Abstract page for arXiv paper 2512.10766: Metaphor-based Jailbreak Attacks on Text-to-Image Models

arXiv - AI · 4 min ·
[2602.00657] Non-Clashing Teaching in Graphs: Algorithms, Complexity, and Bounds
Machine Learning

[2602.00657] Non-Clashing Teaching in Graphs: Algorithms, Complexity, and Bounds

Abstract page for arXiv paper 2602.00657: Non-Clashing Teaching in Graphs: Algorithms, Complexity, and Bounds

arXiv - Machine Learning · 4 min ·
[2512.03454] Think Before You Drive: World Model-Inspired Multimodal Grounding for Autonomous Vehicles
Machine Learning

[2512.03454] Think Before You Drive: World Model-Inspired Multimodal Grounding for Autonomous Vehicles

Abstract page for arXiv paper 2512.03454: Think Before You Drive: World Model-Inspired Multimodal Grounding for Autonomous Vehicles

arXiv - AI · 4 min ·
[2602.00114] 1S-DAug: One-Shot Data Augmentation for Robust Few-Shot Generalization
Machine Learning

[2602.00114] 1S-DAug: One-Shot Data Augmentation for Robust Few-Shot Generalization

Abstract page for arXiv paper 2602.00114: 1S-DAug: One-Shot Data Augmentation for Robust Few-Shot Generalization

arXiv - AI · 3 min ·
[2512.02487] Masking Matters: Unlocking the Spatial Reasoning Capabilities of LLMs for 3D Scene-Language Understanding
Llms

[2512.02487] Masking Matters: Unlocking the Spatial Reasoning Capabilities of LLMs for 3D Scene-Language Understanding

Abstract page for arXiv paper 2512.02487: Masking Matters: Unlocking the Spatial Reasoning Capabilities of LLMs for 3D Scene-Language Und...

arXiv - AI · 4 min ·
[2511.21732] HUMORCHAIN: Theory-Guided Multi-Stage Reasoning for Interpretable Multimodal Humor Generation
Machine Learning

[2511.21732] HUMORCHAIN: Theory-Guided Multi-Stage Reasoning for Interpretable Multimodal Humor Generation

Abstract page for arXiv paper 2511.21732: HUMORCHAIN: Theory-Guided Multi-Stage Reasoning for Interpretable Multimodal Humor Generation

arXiv - AI · 4 min ·
[2512.09275] Impact of Positional Encoding: Clean and Adversarial Rademacher Complexity for Transformers under In-Context Regression
Machine Learning

[2512.09275] Impact of Positional Encoding: Clean and Adversarial Rademacher Complexity for Transformers under In-Context Regression

Abstract page for arXiv paper 2512.09275: Impact of Positional Encoding: Clean and Adversarial Rademacher Complexity for Transformers und...

arXiv - Machine Learning · 3 min ·
[2512.19196] Adaptive Probability Flow Residual Minimization for High-Dimensional Fokker-Planck Equations
Machine Learning

[2512.19196] Adaptive Probability Flow Residual Minimization for High-Dimensional Fokker-Planck Equations

Abstract page for arXiv paper 2512.19196: Adaptive Probability Flow Residual Minimization for High-Dimensional Fokker-Planck Equations

arXiv - Machine Learning · 4 min ·
[2510.26865] Do Vision-Language Models Measure Up? Benchmarking Visual Measurement Reading with MeasureBench
Llms

[2510.26865] Do Vision-Language Models Measure Up? Benchmarking Visual Measurement Reading with MeasureBench

Abstract page for arXiv paper 2510.26865: Do Vision-Language Models Measure Up? Benchmarking Visual Measurement Reading with MeasureBench

arXiv - AI · 4 min ·
[2512.07697] Delay-Aware Diffusion Policy: Bridging the Observation-Execution Gap in Dynamic Tasks
Machine Learning

[2512.07697] Delay-Aware Diffusion Policy: Bridging the Observation-Execution Gap in Dynamic Tasks

Abstract page for arXiv paper 2512.07697: Delay-Aware Diffusion Policy: Bridging the Observation-Execution Gap in Dynamic Tasks

arXiv - Machine Learning · 3 min ·
[2510.23421] Quantifying Systemic Vulnerability in the Foundation Model Industry
Llms

[2510.23421] Quantifying Systemic Vulnerability in the Foundation Model Industry

Abstract page for arXiv paper 2510.23421: Quantifying Systemic Vulnerability in the Foundation Model Industry

arXiv - AI · 3 min ·
[2510.21356] Gaze-VLM:Bridging Gaze and VLMs through Attention Regularization for Egocentric Understanding
Machine Learning

[2510.21356] Gaze-VLM:Bridging Gaze and VLMs through Attention Regularization for Egocentric Understanding

Abstract page for arXiv paper 2510.21356: Gaze-VLM:Bridging Gaze and VLMs through Attention Regularization for Egocentric Understanding

arXiv - AI · 4 min ·
[2511.12449] MOON2.0: Dynamic Modality-balanced Multimodal Representation Learning for E-commerce Product Understanding
Llms

[2511.12449] MOON2.0: Dynamic Modality-balanced Multimodal Representation Learning for E-commerce Product Understanding

Abstract page for arXiv paper 2511.12449: MOON2.0: Dynamic Modality-balanced Multimodal Representation Learning for E-commerce Product Un...

arXiv - AI · 4 min ·
[2511.08416] Generative AI Meets 6G and Beyond: Diffusion Models for Semantic Communications
Machine Learning

[2511.08416] Generative AI Meets 6G and Beyond: Diffusion Models for Semantic Communications

Abstract page for arXiv paper 2511.08416: Generative AI Meets 6G and Beyond: Diffusion Models for Semantic Communications

arXiv - Machine Learning · 4 min ·
[2511.05876] MoEGCL: Mixture of Ego-Graphs Contrastive Representation Learning for Multi-View Clustering
Machine Learning

[2511.05876] MoEGCL: Mixture of Ego-Graphs Contrastive Representation Learning for Multi-View Clustering

Abstract page for arXiv paper 2511.05876: MoEGCL: Mixture of Ego-Graphs Contrastive Representation Learning for Multi-View Clustering

arXiv - Machine Learning · 4 min ·
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