Machine Learning

As Meta Flounders, It Reportedly Plans to Open Source Its New AI Models

Google quietly launched an AI dictation app that works offline

Google's new offline-first dictation app uses Gemma AI models to take on the apps like Wispr Flow.

Why do the various LLM disappoint me in reading requests?

Serious question here. I have tried various LLM over the past year to help me choose fictional novels to read based on a decent amount of...

[2603.22771] Explainable Threat Attribution for IoT Networks Using Conditional SHAP and Flow Behavior Modelling

Abstract page for arXiv paper 2603.22771: Explainable Threat Attribution for IoT Networks Using Conditional SHAP and Flow Behavior Modelling

[2603.22758] Reconstruction-Guided Slot Curriculum: Addressing Object Over-Fragmentation in Video Object-Centric Learning

Abstract page for arXiv paper 2603.22758: Reconstruction-Guided Slot Curriculum: Addressing Object Over-Fragmentation in Video Object-Cen...

[2603.22755] KALAVAI: Predicting When Independent Specialist Fusion Works -- A Quantitative Model for Post-Hoc Cooperative LLM Training

Abstract page for arXiv paper 2603.22755: KALAVAI: Predicting When Independent Specialist Fusion Works -- A Quantitative Model for Post-H...

[2603.22750] REALITrees: Rashomon Ensemble Active Learning for Interpretable Trees

Abstract page for arXiv paper 2603.22750: REALITrees: Rashomon Ensemble Active Learning for Interpretable Trees

[2603.22629] LGSE: Lexically Grounded Subword Embedding Initialization for Low-Resource Language Adaptation

Abstract page for arXiv paper 2603.22629: LGSE: Lexically Grounded Subword Embedding Initialization for Low-Resource Language Adaptation

[2603.22665] Improving LLM Predictions via Inter-Layer Structural Encoders

Abstract page for arXiv paper 2603.22665: Improving LLM Predictions via Inter-Layer Structural Encoders

[2603.22624] Toward Faithful Segmentation Attribution via Benchmarking and Dual-Evidence Fusion

Abstract page for arXiv paper 2603.22624: Toward Faithful Segmentation Attribution via Benchmarking and Dual-Evidence Fusion

[2603.22623] To Agree or To Be Right? The Grounding-Sycophancy Tradeoff in Medical Vision-Language Models

Abstract page for arXiv paper 2603.22623: To Agree or To Be Right? The Grounding-Sycophancy Tradeoff in Medical Vision-Language Models

[2603.22644] Overfitting and Generalizing with (PAC) Bayesian Prediction in Noisy Binary Classification

Abstract page for arXiv paper 2603.22644: Overfitting and Generalizing with (PAC) Bayesian Prediction in Noisy Binary Classification

[2603.22563] Privacy-Preserving Reinforcement Learning from Human Feedback via Decoupled Reward Modeling

Abstract page for arXiv paper 2603.22563: Privacy-Preserving Reinforcement Learning from Human Feedback via Decoupled Reward Modeling

[2603.22593] Language Models Can Explain Visual Features via Steering

Abstract page for arXiv paper 2603.22593: Language Models Can Explain Visual Features via Steering

[2603.22472] Wake Up to the Past: Using Memory to Model Fluid Wake Effects on Robots

Abstract page for arXiv paper 2603.22472: Wake Up to the Past: Using Memory to Model Fluid Wake Effects on Robots

[2603.22582] Lie to Me: How Faithful Is Chain-of-Thought Reasoning in Reasoning Models?

Abstract page for arXiv paper 2603.22582: Lie to Me: How Faithful Is Chain-of-Thought Reasoning in Reasoning Models?

[2603.22577] STRIATUM-CTF: A Protocol-Driven Agentic Framework for General-Purpose CTF Solving

Abstract page for arXiv paper 2603.22577: STRIATUM-CTF: A Protocol-Driven Agentic Framework for General-Purpose CTF Solving

[2603.22468] SPDE Methods for Nonparametric Bayesian Posterior Contraction and Laplace Approximation

Abstract page for arXiv paper 2603.22468: SPDE Methods for Nonparametric Bayesian Posterior Contraction and Laplace Approximation

[2603.22528] GraphRAG for Engineering Diagrams: ChatP&ID Enables LLM Interaction with P&IDs

Abstract page for arXiv paper 2603.22528: GraphRAG for Engineering Diagrams: ChatP&ID Enables LLM Interaction with P&IDs

[2603.22437] mmFHE: mmWave Sensing with End-to-End Fully Homomorphic Encryption

Abstract page for arXiv paper 2603.22437: mmFHE: mmWave Sensing with End-to-End Fully Homomorphic Encryption

[2603.22519] LLMON: An LLM-native Markup Language to Leverage Structure and Semantics at the LLM Interface

Abstract page for arXiv paper 2603.22519: LLMON: An LLM-native Markup Language to Leverage Structure and Semantics at the LLM Interface

[2603.22518] High Resolution Flood Extent Detection Using Deep Learning with Random Forest Derived Training Labels

Abstract page for arXiv paper 2603.22518: High Resolution Flood Extent Detection Using Deep Learning with Random Forest Derived Training ...

[2603.22401] Probabilistic modeling over permutations using quantum computers

Abstract page for arXiv paper 2603.22401: Probabilistic modeling over permutations using quantum computers