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Llms

Study: LLMs Able to De-Anonymize User Accounts on Reddit, Hacker News & Other "Pseudonymous" Platforms; Report Co-Author Expands, Advises

Advice from the study's co-author: "Be aware that it’s not any single post that identifies you, but the combination of small details acro...

Reddit - Artificial Intelligence · 1 min ·
Machine Learning

[D] Best websites for pytorch/numpy interviews

Hello, I’m at the last year of my PHD and I’m starting to prepare interviews. I’m mainly aiming at applied scientist/research engineer or...

Reddit - Machine Learning · 1 min ·
Llms

[P] Remote sensing foundation models made easy to use.

This project enables the idea of tasking remote sensing models to acquire embeddings like we task satellites to acquire data! https://git...

Reddit - Machine Learning · 1 min ·

All Content

[2603.25412] Beyond Content Safety: Real-Time Monitoring for Reasoning Vulnerabilities in Large Language Models
Llms

[2603.25412] Beyond Content Safety: Real-Time Monitoring for Reasoning Vulnerabilities in Large Language Models

Abstract page for arXiv paper 2603.25412: Beyond Content Safety: Real-Time Monitoring for Reasoning Vulnerabilities in Large Language Models

arXiv - AI · 4 min ·
[2603.25379] Does Structured Intent Representation Generalize? A Cross-Language, Cross-Model Empirical Study of 5W3H Prompting
Machine Learning

[2603.25379] Does Structured Intent Representation Generalize? A Cross-Language, Cross-Model Empirical Study of 5W3H Prompting

Abstract page for arXiv paper 2603.25379: Does Structured Intent Representation Generalize? A Cross-Language, Cross-Model Empirical Study...

arXiv - AI · 4 min ·
[2603.24709] Training LLMs for Multi-Step Tool Orchestration with Constrained Data Synthesis and Graduated Rewards
Llms

[2603.24709] Training LLMs for Multi-Step Tool Orchestration with Constrained Data Synthesis and Graduated Rewards

Abstract page for arXiv paper 2603.24709: Training LLMs for Multi-Step Tool Orchestration with Constrained Data Synthesis and Graduated R...

arXiv - Machine Learning · 4 min ·
[2603.25356] 4OPS: Structural Difficulty Modeling in Integer Arithmetic Puzzles
Machine Learning

[2603.25356] 4OPS: Structural Difficulty Modeling in Integer Arithmetic Puzzles

Abstract page for arXiv paper 2603.25356: 4OPS: Structural Difficulty Modeling in Integer Arithmetic Puzzles

arXiv - AI · 4 min ·
[2603.24695] Amplified Patch-Level Differential Privacy for Free via Random Cropping
Machine Learning

[2603.24695] Amplified Patch-Level Differential Privacy for Free via Random Cropping

Abstract page for arXiv paper 2603.24695: Amplified Patch-Level Differential Privacy for Free via Random Cropping

arXiv - Machine Learning · 4 min ·
[2603.25334] Agentic Trust Coordination for Federated Learning through Adaptive Thresholding and Autonomous Decision Making in Sustainable and Resilient Industrial Networks
Machine Learning

[2603.25334] Agentic Trust Coordination for Federated Learning through Adaptive Thresholding and Autonomous Decision Making in Sustainable and Resilient Industrial Networks

Abstract page for arXiv paper 2603.25334: Agentic Trust Coordination for Federated Learning through Adaptive Thresholding and Autonomous ...

arXiv - Machine Learning · 4 min ·
[2603.24648] Energy-Efficient Hierarchical Federated Anomaly Detection for the Internet of Underwater Things via Selective Cooperative Aggregation
Machine Learning

[2603.24648] Energy-Efficient Hierarchical Federated Anomaly Detection for the Internet of Underwater Things via Selective Cooperative Aggregation

Abstract page for arXiv paper 2603.24648: Energy-Efficient Hierarchical Federated Anomaly Detection for the Internet of Underwater Things...

arXiv - Machine Learning · 4 min ·
[2603.24641] Learning Mesh-Free Discrete Differential Operators with Self-Supervised Graph Neural Networks
Machine Learning

[2603.24641] Learning Mesh-Free Discrete Differential Operators with Self-Supervised Graph Neural Networks

Abstract page for arXiv paper 2603.24641: Learning Mesh-Free Discrete Differential Operators with Self-Supervised Graph Neural Networks

arXiv - Machine Learning · 3 min ·
[2603.25328] Macroscopic Characteristics of Mixed Traffic Flow with Deep Reinforcement Learning Based Automated and Human-Driven Vehicles
Machine Learning

[2603.25328] Macroscopic Characteristics of Mixed Traffic Flow with Deep Reinforcement Learning Based Automated and Human-Driven Vehicles

Abstract page for arXiv paper 2603.25328: Macroscopic Characteristics of Mixed Traffic Flow with Deep Reinforcement Learning Based Automa...

arXiv - AI · 4 min ·
[2603.24647] Can LLMs Beat Classical Hyperparameter Optimization Algorithms? A Study on autoresearch
Llms

[2603.24647] Can LLMs Beat Classical Hyperparameter Optimization Algorithms? A Study on autoresearch

Abstract page for arXiv paper 2603.24647: Can LLMs Beat Classical Hyperparameter Optimization Algorithms? A Study on autoresearch

arXiv - Machine Learning · 4 min ·
[2603.25326] Evaluating Language Models for Harmful Manipulation
Llms

[2603.25326] Evaluating Language Models for Harmful Manipulation

Abstract page for arXiv paper 2603.25326: Evaluating Language Models for Harmful Manipulation

arXiv - AI · 4 min ·
[2603.24644] Physics-Informed Neural Network Digital Twin for Dynamic Tray-Wise Modeling of Distillation Columns under Transient Operating Conditions
Machine Learning

[2603.24644] Physics-Informed Neural Network Digital Twin for Dynamic Tray-Wise Modeling of Distillation Columns under Transient Operating Conditions

Abstract page for arXiv paper 2603.24644: Physics-Informed Neural Network Digital Twin for Dynamic Tray-Wise Modeling of Distillation Col...

arXiv - Machine Learning · 4 min ·
[2603.24639] Experiential Reflective Learning for Self-Improving LLM Agents
Llms

[2603.24639] Experiential Reflective Learning for Self-Improving LLM Agents

Abstract page for arXiv paper 2603.24639: Experiential Reflective Learning for Self-Improving LLM Agents

arXiv - AI · 3 min ·
[2603.25284] SliderQuant: Accurate Post-Training Quantization for LLMs
Llms

[2603.25284] SliderQuant: Accurate Post-Training Quantization for LLMs

Abstract page for arXiv paper 2603.25284: SliderQuant: Accurate Post-Training Quantization for LLMs

arXiv - AI · 4 min ·
[2603.25283] A Gait Foundation Model Predicts Multi-System Health Phenotypes from 3D Skeletal Motion
Llms

[2603.25283] A Gait Foundation Model Predicts Multi-System Health Phenotypes from 3D Skeletal Motion

Abstract page for arXiv paper 2603.25283: A Gait Foundation Model Predicts Multi-System Health Phenotypes from 3D Skeletal Motion

arXiv - AI · 3 min ·
[2603.24638] How unconstrained machine-learning models learn physical symmetries
Machine Learning

[2603.24638] How unconstrained machine-learning models learn physical symmetries

Abstract page for arXiv paper 2603.24638: How unconstrained machine-learning models learn physical symmetries

arXiv - Machine Learning · 4 min ·
[2603.25273] Distribution and Clusters Approximations as Abstract Domains in Probabilistic Abstract Interpretation to Neural Network Analysis
Machine Learning

[2603.25273] Distribution and Clusters Approximations as Abstract Domains in Probabilistic Abstract Interpretation to Neural Network Analysis

Abstract page for arXiv paper 2603.25273: Distribution and Clusters Approximations as Abstract Domains in Probabilistic Abstract Interpre...

arXiv - AI · 3 min ·
[2603.25266] Probabilistic Abstract Interpretation on Neural Networks via Grids Approximation
Machine Learning

[2603.25266] Probabilistic Abstract Interpretation on Neural Networks via Grids Approximation

Abstract page for arXiv paper 2603.25266: Probabilistic Abstract Interpretation on Neural Networks via Grids Approximation

arXiv - AI · 3 min ·
[2603.25158] Trace2Skill: Distill Trajectory-Local Lessons into Transferable Agent Skills
Llms

[2603.25158] Trace2Skill: Distill Trajectory-Local Lessons into Transferable Agent Skills

Abstract page for arXiv paper 2603.25158: Trace2Skill: Distill Trajectory-Local Lessons into Transferable Agent Skills

arXiv - AI · 4 min ·
[2603.25133] RubricEval: A Rubric-Level Meta-Evaluation Benchmark for LLM Judges in Instruction Following
Llms

[2603.25133] RubricEval: A Rubric-Level Meta-Evaluation Benchmark for LLM Judges in Instruction Following

Abstract page for arXiv paper 2603.25133: RubricEval: A Rubric-Level Meta-Evaluation Benchmark for LLM Judges in Instruction Following

arXiv - AI · 3 min ·
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