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[P] Built an open source tool to find the location of any street picture

Hey guys, Thank you so much for your love and support regarding Netryx Astra V2 last time. Many people are not that technically savvy to ...

Reddit - Machine Learning · 1 min ·
Llms

[R] GPT-5.4-mini regressed 22pp on vanilla prompting vs GPT-5-mini. Nobody noticed because benchmarks don't test this. Recursive Language Models solved it.

GPT-5.4-mini produces shorter, terser outputs by default. Vanilla accuracy dropped from 69.5% to 47.2% across 12 tasks (1,800 evals). The...

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 ·

All Content

[2603.22366] Modeling Quantum Federated Autoencoder for Anomaly Detection in IoT Networks
Machine Learning

[2603.22366] Modeling Quantum Federated Autoencoder for Anomaly Detection in IoT Networks

Abstract page for arXiv paper 2603.22366: Modeling Quantum Federated Autoencoder for Anomaly Detection in IoT Networks

arXiv - AI · 3 min ·
[2603.23232] GEM: Guided Expectation-Maximization for Behavior-Normalized Candidate Action Selection in Offline RL
Ai Infrastructure

[2603.23232] GEM: Guided Expectation-Maximization for Behavior-Normalized Candidate Action Selection in Offline RL

Abstract page for arXiv paper 2603.23232: GEM: Guided Expectation-Maximization for Behavior-Normalized Candidate Action Selection in Offl...

arXiv - Machine Learning · 4 min ·
[2603.22341] T-MAP: Red-Teaming LLM Agents with Trajectory-aware Evolutionary Search
Llms

[2603.22341] T-MAP: Red-Teaming LLM Agents with Trajectory-aware Evolutionary Search

Abstract page for arXiv paper 2603.22341: T-MAP: Red-Teaming LLM Agents with Trajectory-aware Evolutionary Search

arXiv - AI · 3 min ·
[2603.23198] Sparser, Faster, Lighter Transformer Language Models
Llms

[2603.23198] Sparser, Faster, Lighter Transformer Language Models

Abstract page for arXiv paper 2603.23198: Sparser, Faster, Lighter Transformer Language Models

arXiv - Machine Learning · 3 min ·
[2603.23086] Policy-based Tuning of Autoregressive Image Models with Instance- and Distribution-Level Rewards
Machine Learning

[2603.23086] Policy-based Tuning of Autoregressive Image Models with Instance- and Distribution-Level Rewards

Abstract page for arXiv paper 2603.23086: Policy-based Tuning of Autoregressive Image Models with Instance- and Distribution-Level Rewards

arXiv - Machine Learning · 4 min ·
[2603.23076] MsFormer: Enabling Robust Predictive Maintenance Services for Industrial Devices
Machine Learning

[2603.23076] MsFormer: Enabling Robust Predictive Maintenance Services for Industrial Devices

Abstract page for arXiv paper 2603.23076: MsFormer: Enabling Robust Predictive Maintenance Services for Industrial Devices

arXiv - Machine Learning · 4 min ·
[2603.22784] Caterpillar of Thoughts: The Optimal Test-Time Algorithm for Large Language Models
Llms

[2603.22784] Caterpillar of Thoughts: The Optimal Test-Time Algorithm for Large Language Models

Abstract page for arXiv paper 2603.22784: Caterpillar of Thoughts: The Optimal Test-Time Algorithm for Large Language Models

arXiv - Machine Learning · 4 min ·
[2603.22770] From Arithmetic to Logic: The Resilience of Logic and Lookup-Based Neural Networks Under Parameter Bit-Flips
Machine Learning

[2603.22770] From Arithmetic to Logic: The Resilience of Logic and Lookup-Based Neural Networks Under Parameter Bit-Flips

Abstract page for arXiv paper 2603.22770: From Arithmetic to Logic: The Resilience of Logic and Lookup-Based Neural Networks Under Parame...

arXiv - AI · 4 min ·
[2603.22289] MERIT: Memory-Enhanced Retrieval for Interpretable Knowledge Tracing
Llms

[2603.22289] MERIT: Memory-Enhanced Retrieval for Interpretable Knowledge Tracing

Abstract page for arXiv paper 2603.22289: MERIT: Memory-Enhanced Retrieval for Interpretable Knowledge Tracing

arXiv - AI · 3 min ·
[2603.23346] RelayS2S: A Dual-Path Speculative Generation for Real-Time Dialogue
Llms

[2603.23346] RelayS2S: A Dual-Path Speculative Generation for Real-Time Dialogue

Abstract page for arXiv paper 2603.23346: RelayS2S: A Dual-Path Speculative Generation for Real-Time Dialogue

arXiv - AI · 4 min ·
[2603.22590] Precision-Varying Prediction (PVP): Robustifying ASR systems against adversarial attacks
Machine Learning

[2603.22590] Precision-Varying Prediction (PVP): Robustifying ASR systems against adversarial attacks

Abstract page for arXiv paper 2603.22590: Precision-Varying Prediction (PVP): Robustifying ASR systems against adversarial attacks

arXiv - Machine Learning · 3 min ·
[2603.22586] A Foundation Model for Instruction-Conditioned In-Context Time Series Tasks
Llms

[2603.22586] A Foundation Model for Instruction-Conditioned In-Context Time Series Tasks

Abstract page for arXiv paper 2603.22586: A Foundation Model for Instruction-Conditioned In-Context Time Series Tasks

arXiv - Machine Learning · 3 min ·
[2603.23234] MemCollab: Cross-Agent Memory Collaboration via Contrastive Trajectory Distillation
Llms

[2603.23234] MemCollab: Cross-Agent Memory Collaboration via Contrastive Trajectory Distillation

Abstract page for arXiv paper 2603.23234: MemCollab: Cross-Agent Memory Collaboration via Contrastive Trajectory Distillation

arXiv - AI · 4 min ·
[2603.22530] Multimodal Training to Unimodal Deployment: Leveraging Unstructured Data During Training to Optimize Structured Data Only Deployment
Machine Learning

[2603.22530] Multimodal Training to Unimodal Deployment: Leveraging Unstructured Data During Training to Optimize Structured Data Only Deployment

Abstract page for arXiv paper 2603.22530: Multimodal Training to Unimodal Deployment: Leveraging Unstructured Data During Training to Opt...

arXiv - Machine Learning · 4 min ·
[2603.22525] Adversarial Vulnerabilities in Neural Operator Digital Twins: Gradient-Free Attacks on Nuclear Thermal-Hydraulic Surrogates
Machine Learning

[2603.22525] Adversarial Vulnerabilities in Neural Operator Digital Twins: Gradient-Free Attacks on Nuclear Thermal-Hydraulic Surrogates

Abstract page for arXiv paper 2603.22525: Adversarial Vulnerabilities in Neural Operator Digital Twins: Gradient-Free Attacks on Nuclear ...

arXiv - Machine Learning · 4 min ·
[2603.22430] Model Predictive Control with Differentiable World Models for Offline Reinforcement Learning
Machine Learning

[2603.22430] Model Predictive Control with Differentiable World Models for Offline Reinforcement Learning

Abstract page for arXiv paper 2603.22430: Model Predictive Control with Differentiable World Models for Offline Reinforcement Learning

arXiv - Machine Learning · 3 min ·
[2603.22375] Three Creates All: You Only Sample 3 Steps
Machine Learning

[2603.22375] Three Creates All: You Only Sample 3 Steps

Abstract page for arXiv paper 2603.22375: Three Creates All: You Only Sample 3 Steps

arXiv - AI · 3 min ·
[2603.22943] PersonalQ: Select, Quantize, and Serve Personalized Diffusion Models for Efficient Inference
Machine Learning

[2603.22943] PersonalQ: Select, Quantize, and Serve Personalized Diffusion Models for Efficient Inference

Abstract page for arXiv paper 2603.22943: PersonalQ: Select, Quantize, and Serve Personalized Diffusion Models for Efficient Inference

arXiv - AI · 3 min ·
[2603.22942] Optimizing Small Language Models for NL2SQL via Chain-of-Thought Fine-Tuning
Llms

[2603.22942] Optimizing Small Language Models for NL2SQL via Chain-of-Thought Fine-Tuning

Abstract page for arXiv paper 2603.22942: Optimizing Small Language Models for NL2SQL via Chain-of-Thought Fine-Tuning

arXiv - AI · 3 min ·
[2603.22364] MCLR: Improving Conditional Modeling in Visual Generative Models via Inter-Class Likelihood-Ratio Maximization and Establishing the Equivalence between Classifier-Free Guidance and Alignment Objectives
Machine Learning

[2603.22364] MCLR: Improving Conditional Modeling in Visual Generative Models via Inter-Class Likelihood-Ratio Maximization and Establishing the Equivalence between Classifier-Free Guidance and Alignment Objectives

Abstract page for arXiv paper 2603.22364: MCLR: Improving Conditional Modeling in Visual Generative Models via Inter-Class Likelihood-Rat...

arXiv - AI · 4 min ·
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