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AI Models Lie, Cheat, and Steal to Protect Other Models From Being Deleted | WIRED
Machine Learning

AI Models Lie, Cheat, and Steal to Protect Other Models From Being Deleted | WIRED

A new study from researchers at UC Berkeley and UC Santa Cruz suggests models will disobey human commands to protect their own kind.

Wired - AI · 6 min ·
Machine Learning

[R] Literature on optimizing user feedback in the form of Thumbs up/ Thumbs down?

I am working in a project where I have a dataset of model responses tagged with "thumbs up" or "thumbs down" by the user. That's all the ...

Reddit - Machine Learning · 1 min ·
Machine Learning

Diffusion-based AI model successfully trained in electroplating

Electrochemical deposition, or electroplating, is a common industrial technique that coats materials to improve corrosion resistance and ...

Reddit - Artificial Intelligence · 1 min ·

All Content

[2603.25462] Temporally Decoupled Diffusion Planning for Autonomous Driving
Machine Learning

[2603.25462] Temporally Decoupled Diffusion Planning for Autonomous Driving

Abstract page for arXiv paper 2603.25462: Temporally Decoupled Diffusion Planning for Autonomous Driving

arXiv - AI · 3 min ·
[2603.25629] LanteRn: Latent Visual Structured Reasoning
Machine Learning

[2603.25629] LanteRn: Latent Visual Structured Reasoning

Abstract page for arXiv paper 2603.25629: LanteRn: Latent Visual Structured Reasoning

arXiv - Machine Learning · 3 min ·
[2603.25423] From Manipulation to Mistrust: Explaining Diverse Micro-Video Misinformation for Robust Debunking in the Wild
Machine Learning

[2603.25423] From Manipulation to Mistrust: Explaining Diverse Micro-Video Misinformation for Robust Debunking in the Wild

Abstract page for arXiv paper 2603.25423: From Manipulation to Mistrust: Explaining Diverse Micro-Video Misinformation for Robust Debunki...

arXiv - AI · 4 min ·
[2603.25622] The Geometry of Efficient Nonconvex Sampling
Machine Learning

[2603.25622] The Geometry of Efficient Nonconvex Sampling

Abstract page for arXiv paper 2603.25622: The Geometry of Efficient Nonconvex Sampling

arXiv - Machine Learning · 3 min ·
[2603.25579] The Rules-and-Facts Model for Simultaneous Generalization and Memorization in Neural Networks
Machine Learning

[2603.25579] The Rules-and-Facts Model for Simultaneous Generalization and Memorization in Neural Networks

Abstract page for arXiv paper 2603.25579: The Rules-and-Facts Model for Simultaneous Generalization and Memorization in Neural Networks

arXiv - Machine Learning · 4 min ·
[2603.25573] Hierarchy-Guided Multimodal Representation Learning for Taxonomic Inference
Machine Learning

[2603.25573] Hierarchy-Guided Multimodal Representation Learning for Taxonomic Inference

Abstract page for arXiv paper 2603.25573: Hierarchy-Guided Multimodal Representation Learning for Taxonomic Inference

arXiv - Machine Learning · 4 min ·
[2603.25535] Insights on back marking for the automated identification of animals
Machine Learning

[2603.25535] Insights on back marking for the automated identification of animals

Abstract page for arXiv paper 2603.25535: Insights on back marking for the automated identification of animals

arXiv - Machine Learning · 4 min ·
[2603.25366] Integrating Deep RL and Bayesian Inference for ObjectNav in Mobile Robotics
Machine Learning

[2603.25366] Integrating Deep RL and Bayesian Inference for ObjectNav in Mobile Robotics

Abstract page for arXiv paper 2603.25366: Integrating Deep RL and Bayesian Inference for ObjectNav in Mobile Robotics

arXiv - AI · 3 min ·
[2603.25517] NERO-Net: A Neuroevolutionary Approach for the Design of Adversarially Robust CNNs
Machine Learning

[2603.25517] NERO-Net: A Neuroevolutionary Approach for the Design of Adversarially Robust CNNs

Abstract page for arXiv paper 2603.25517: NERO-Net: A Neuroevolutionary Approach for the Design of Adversarially Robust CNNs

arXiv - AI · 4 min ·
[2603.25509] Conformal Prediction for Nonparametric Instrumental Regression
Machine Learning

[2603.25509] Conformal Prediction for Nonparametric Instrumental Regression

Abstract page for arXiv paper 2603.25509: Conformal Prediction for Nonparametric Instrumental Regression

arXiv - Machine Learning · 3 min ·
[2603.25507] Lightweight GenAI for Network Traffic Synthesis: Fidelity, Augmentation, and Classification
Machine Learning

[2603.25507] Lightweight GenAI for Network Traffic Synthesis: Fidelity, Augmentation, and Classification

Abstract page for arXiv paper 2603.25507: Lightweight GenAI for Network Traffic Synthesis: Fidelity, Augmentation, and Classification

arXiv - AI · 4 min ·
[2603.25322] AD-CARE: A Guideline-grounded, Modality-agnostic LLM Agent for Real-world Alzheimer's Disease Diagnosis with Multi-cohort Assessment, Fairness Analysis, and Reader Study
Llms

[2603.25322] AD-CARE: A Guideline-grounded, Modality-agnostic LLM Agent for Real-world Alzheimer's Disease Diagnosis with Multi-cohort Assessment, Fairness Analysis, and Reader Study

Abstract page for arXiv paper 2603.25322: AD-CARE: A Guideline-grounded, Modality-agnostic LLM Agent for Real-world Alzheimer's Disease D...

arXiv - AI · 4 min ·
[2603.25466] Residual-as-Teacher: Mitigating Bias Propagation in Student--Teacher Estimation
Machine Learning

[2603.25466] Residual-as-Teacher: Mitigating Bias Propagation in Student--Teacher Estimation

Abstract page for arXiv paper 2603.25466: Residual-as-Teacher: Mitigating Bias Propagation in Student--Teacher Estimation

arXiv - Machine Learning · 3 min ·
[2603.25289] Revealing the influence of participant failures on model quality in cross-silo Federated Learning
Machine Learning

[2603.25289] Revealing the influence of participant failures on model quality in cross-silo Federated Learning

Abstract page for arXiv paper 2603.25289: Revealing the influence of participant failures on model quality in cross-silo Federated Learning

arXiv - AI · 4 min ·
[2603.25440] The Symmetric Perceptron: a Teacher-Student Scenario
Machine Learning

[2603.25440] The Symmetric Perceptron: a Teacher-Student Scenario

Abstract page for arXiv paper 2603.25440: The Symmetric Perceptron: a Teacher-Student Scenario

arXiv - Machine Learning · 4 min ·
[2603.25414] Decidable By Construction: Design-Time Verification for Trustworthy AI
Machine Learning

[2603.25414] Decidable By Construction: Design-Time Verification for Trustworthy AI

Abstract page for arXiv paper 2603.25414: Decidable By Construction: Design-Time Verification for Trustworthy AI

arXiv - AI · 4 min ·
[2603.25268] CRAFT: Grounded Multi-Agent Coordination Under Partial Information
Llms

[2603.25268] CRAFT: Grounded Multi-Agent Coordination Under Partial Information

Abstract page for arXiv paper 2603.25268: CRAFT: Grounded Multi-Agent Coordination Under Partial Information

arXiv - AI · 3 min ·
[2603.25403] Shape and Substance: Dual-Layer Side-Channel Attacks on Local Vision-Language Models
Llms

[2603.25403] Shape and Substance: Dual-Layer Side-Channel Attacks on Local Vision-Language Models

Abstract page for arXiv paper 2603.25403: Shape and Substance: Dual-Layer Side-Channel Attacks on Local Vision-Language Models

arXiv - AI · 3 min ·
[2603.25253] MolQuest: A Benchmark for Agentic Evaluation of Abductive Reasoning in Chemical Structure Elucidation
Llms

[2603.25253] MolQuest: A Benchmark for Agentic Evaluation of Abductive Reasoning in Chemical Structure Elucidation

Abstract page for arXiv paper 2603.25253: MolQuest: A Benchmark for Agentic Evaluation of Abductive Reasoning in Chemical Structure Eluci...

arXiv - AI · 4 min ·
[2603.25397] A Causal Framework for Evaluating ICU Discharge Strategies
Machine Learning

[2603.25397] A Causal Framework for Evaluating ICU Discharge Strategies

Abstract page for arXiv paper 2603.25397: A Causal Framework for Evaluating ICU Discharge Strategies

arXiv - AI · 3 min ·
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