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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

[2603.25374] Supercharging Federated Intelligence Retrieval
Llms

[2603.25374] Supercharging Federated Intelligence Retrieval

Abstract page for arXiv paper 2603.25374: Supercharging Federated Intelligence Retrieval

arXiv - Machine Learning · 3 min ·
[2603.25247] FEAST: Fully Connected Expressive Attention for Spatial Transcriptomics
Machine Learning

[2603.25247] FEAST: Fully Connected Expressive Attention for Spatial Transcriptomics

Abstract page for arXiv paper 2603.25247: FEAST: Fully Connected Expressive Attention for Spatial Transcriptomics

arXiv - AI · 4 min ·
[2603.25243] FluxEDA: A Unified Execution Infrastructure for Stateful Agentic EDA
Llms

[2603.25243] FluxEDA: A Unified Execution Infrastructure for Stateful Agentic EDA

Abstract page for arXiv paper 2603.25243: FluxEDA: A Unified Execution Infrastructure for Stateful Agentic EDA

arXiv - AI · 3 min ·
[2603.25311] Practical Efficient Global Optimization is No-regret
Machine Learning

[2603.25311] Practical Efficient Global Optimization is No-regret

Abstract page for arXiv paper 2603.25311: Practical Efficient Global Optimization is No-regret

arXiv - Machine Learning · 3 min ·
[2603.25226] WebTestBench: Evaluating Computer-Use Agents towards End-to-End Automated Web Testing
Llms

[2603.25226] WebTestBench: Evaluating Computer-Use Agents towards End-to-End Automated Web Testing

Abstract page for arXiv paper 2603.25226: WebTestBench: Evaluating Computer-Use Agents towards End-to-End Automated Web Testing

arXiv - AI · 4 min ·
[2603.25216] A Wireless World Model for AI-Native 6G Networks
Machine Learning

[2603.25216] A Wireless World Model for AI-Native 6G Networks

Abstract page for arXiv paper 2603.25216: A Wireless World Model for AI-Native 6G Networks

arXiv - AI · 3 min ·
[2603.25257] Mitigating Evasion Attacks in Fog Computing Resource Provisioning Through Proactive Hardening
Machine Learning

[2603.25257] Mitigating Evasion Attacks in Fog Computing Resource Provisioning Through Proactive Hardening

Abstract page for arXiv paper 2603.25257: Mitigating Evasion Attacks in Fog Computing Resource Provisioning Through Proactive Hardening

arXiv - Machine Learning · 3 min ·
[2603.25209] Free-Lunch Long Video Generation via Layer-Adaptive O.O.D Correction
Machine Learning

[2603.25209] Free-Lunch Long Video Generation via Layer-Adaptive O.O.D Correction

Abstract page for arXiv paper 2603.25209: Free-Lunch Long Video Generation via Layer-Adaptive O.O.D Correction

arXiv - AI · 4 min ·
[2603.25196] A Decade-Scale Benchmark Evaluating LLMs' Clinical Practice Guidelines Detection and Adherence in Multi-turn Conversations
Llms

[2603.25196] A Decade-Scale Benchmark Evaluating LLMs' Clinical Practice Guidelines Detection and Adherence in Multi-turn Conversations

Abstract page for arXiv paper 2603.25196: A Decade-Scale Benchmark Evaluating LLMs' Clinical Practice Guidelines Detection and Adherence ...

arXiv - AI · 4 min ·
[2603.25251] Does Explanation Correctness Matter? Linking Computational XAI Evaluation to Human Understanding
Machine Learning

[2603.25251] Does Explanation Correctness Matter? Linking Computational XAI Evaluation to Human Understanding

Abstract page for arXiv paper 2603.25251: Does Explanation Correctness Matter? Linking Computational XAI Evaluation to Human Understanding

arXiv - AI · 4 min ·
[2603.25187] Probing the Lack of Stable Internal Beliefs in LLMs
Llms

[2603.25187] Probing the Lack of Stable Internal Beliefs in LLMs

Abstract page for arXiv paper 2603.25187: Probing the Lack of Stable Internal Beliefs in LLMs

arXiv - AI · 3 min ·
[2603.25229] An Image Dataset of Common Skin Diseases of Bangladesh and Benchmarking Performance with Machine Learning Models
Machine Learning

[2603.25229] An Image Dataset of Common Skin Diseases of Bangladesh and Benchmarking Performance with Machine Learning Models

Abstract page for arXiv paper 2603.25229: An Image Dataset of Common Skin Diseases of Bangladesh and Benchmarking Performance with Machin...

arXiv - Machine Learning · 4 min ·
[2603.25250] Activation Matters: Test-time Activated Negative Labels for OOD Detection with Vision-Language Models
Llms

[2603.25250] Activation Matters: Test-time Activated Negative Labels for OOD Detection with Vision-Language Models

Abstract page for arXiv paper 2603.25250: Activation Matters: Test-time Activated Negative Labels for OOD Detection with Vision-Language ...

arXiv - AI · 4 min ·
[2603.25170] Knowledge-Guided Adversarial Training for Infrared Object Detection via Thermal Radiation Modeling
Machine Learning

[2603.25170] Knowledge-Guided Adversarial Training for Infrared Object Detection via Thermal Radiation Modeling

Abstract page for arXiv paper 2603.25170: Knowledge-Guided Adversarial Training for Infrared Object Detection via Thermal Radiation Modeling

arXiv - AI · 4 min ·
[2603.25164] PIDP-Attack: Combining Prompt Injection with Database Poisoning Attacks on Retrieval-Augmented Generation Systems
Llms

[2603.25164] PIDP-Attack: Combining Prompt Injection with Database Poisoning Attacks on Retrieval-Augmented Generation Systems

Abstract page for arXiv paper 2603.25164: PIDP-Attack: Combining Prompt Injection with Database Poisoning Attacks on Retrieval-Augmented ...

arXiv - AI · 4 min ·
[2603.25145] Learning to Rank Caption Chains for Video-Text Alignment
Llms

[2603.25145] Learning to Rank Caption Chains for Video-Text Alignment

Abstract page for arXiv paper 2603.25145: Learning to Rank Caption Chains for Video-Text Alignment

arXiv - Machine Learning · 3 min ·
[2603.25155] Photon: Speedup Volume Understanding with Efficient Multimodal Large Language Models
Llms

[2603.25155] Photon: Speedup Volume Understanding with Efficient Multimodal Large Language Models

Abstract page for arXiv paper 2603.25155: Photon: Speedup Volume Understanding with Efficient Multimodal Large Language Models

arXiv - AI · 3 min ·
[2603.25150] Goodness-of-pronunciation without phoneme time alignment
Machine Learning

[2603.25150] Goodness-of-pronunciation without phoneme time alignment

Abstract page for arXiv paper 2603.25150: Goodness-of-pronunciation without phoneme time alignment

arXiv - AI · 3 min ·
[2603.25146] Factors Influencing the Quality of AI-Generated Code: A Synthesis of Empirical Evidence
Llms

[2603.25146] Factors Influencing the Quality of AI-Generated Code: A Synthesis of Empirical Evidence

Abstract page for arXiv paper 2603.25146: Factors Influencing the Quality of AI-Generated Code: A Synthesis of Empirical Evidence

arXiv - AI · 4 min ·
[2603.25144] FD$^2$: A Dedicated Framework for Fine-Grained Dataset Distillation
Machine Learning

[2603.25144] FD$^2$: A Dedicated Framework for Fine-Grained Dataset Distillation

Abstract page for arXiv paper 2603.25144: FD$^2$: A Dedicated Framework for Fine-Grained Dataset Distillation

arXiv - AI · 4 min ·
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