Machine Learning

ML algorithms, training, and inference

This Week's Best | Monthly Best | Guide | Trending

Top This Week

Llms

[R] Solving the Jane Street Dormant LLM Challenge: A Systematic Approach to Backdoor Discovery

Submitted by: Adam Kruger Date: March 23, 2026 Models Solved: 3/3 (M1, M2, M3) + Warmup Background When we first encountered the Jane Str...

Reddit - Machine Learning · 1 min ·
Llms

[P] Gemma 4 running on NVIDIA B200 and AMD MI355X from the same inference stack, 15% throughput gain over vLLM on Blackwell

Google DeepMind dropped Gemma 4 today: Gemma 4 31B: dense, 256K context, redesigned architecture targeting efficiency and long-context qu...

Reddit - Machine Learning · 1 min ·
Machine Learning

Google releases Gemma 4 models.

submitted by /u/jferments [link] [comments]

Reddit - Artificial Intelligence · 1 min ·

All Content

[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 ·
[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 ·
Previous Page 76 Next

Related Topics

Large Language Models Generative AI Natural Language Processing Computer Vision Robotics & Embodied AI AI Safety & Ethics

Stay updated with AI News

Get the latest news, tools, and insights delivered to your inbox.

Subscribe to Newsletter

Daily or weekly digest • Unsubscribe anytime