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Machine Learning

AeroJAX: JAX-native CFD, differentiable end-to-end. ~560 FPS at 128x128 on CPU [P]

I have been building a JAX based CFD framework for differentiable Navier Stokes simulation inside ML loops such as inverse design and lea...

Reddit - Machine Learning · 1 min ·
Larry Ellison’s betting everything on OpenAI. Will it pay off or pop the bubble? | The Verge
Llms

Larry Ellison’s betting everything on OpenAI. Will it pay off or pop the bubble? | The Verge

Larry Ellison and Oracle have staked their future on a data center deal with OpenAI and a big bet that enterprise AI will pay off.

The Verge - AI · 32 min ·
Machine Learning

Am I crazy to think that the UAI authors are confusing the discussion deadline with the rebuttal deadline ? [D]

Hello everyone. UAI review results were released last Thursday, and the discussion period was clearly stated as April 23 to May 2nd. Howe...

Reddit - Machine Learning · 1 min ·

All Content

[2604.04895] Agentic Federated Learning: The Future of Distributed Training Orchestration
Machine Learning

[2604.04895] Agentic Federated Learning: The Future of Distributed Training Orchestration

Abstract page for arXiv paper 2604.04895: Agentic Federated Learning: The Future of Distributed Training Orchestration

arXiv - AI · 3 min ·
[2604.04901] FileGram: Grounding Agent Personalization in File-System Behavioral Traces
Machine Learning

[2604.04901] FileGram: Grounding Agent Personalization in File-System Behavioral Traces

Abstract page for arXiv paper 2604.04901: FileGram: Grounding Agent Personalization in File-System Behavioral Traces

arXiv - AI · 4 min ·
[2604.04891] Muon Dynamics as a Spectral Wasserstein Flow
Machine Learning

[2604.04891] Muon Dynamics as a Spectral Wasserstein Flow

Abstract page for arXiv paper 2604.04891: Muon Dynamics as a Spectral Wasserstein Flow

arXiv - AI · 4 min ·
[2604.04852] Strengthening Human-Centric Chain-of-Thought Reasoning Integrity in LLMs via a Structured Prompt Framework
Llms

[2604.04852] Strengthening Human-Centric Chain-of-Thought Reasoning Integrity in LLMs via a Structured Prompt Framework

Abstract page for arXiv paper 2604.04852: Strengthening Human-Centric Chain-of-Thought Reasoning Integrity in LLMs via a Structured Promp...

arXiv - AI · 4 min ·
[2604.04825] Plausibility as Commonsense Reasoning: Humans Succeed, Large Language Models Do not
Llms

[2604.04825] Plausibility as Commonsense Reasoning: Humans Succeed, Large Language Models Do not

Abstract page for arXiv paper 2604.04825: Plausibility as Commonsense Reasoning: Humans Succeed, Large Language Models Do not

arXiv - AI · 3 min ·
[2604.04815] LiveFact: A Dynamic, Time-Aware Benchmark for LLM-Driven Fake News Detection
Llms

[2604.04815] LiveFact: A Dynamic, Time-Aware Benchmark for LLM-Driven Fake News Detection

Abstract page for arXiv paper 2604.04815: LiveFact: A Dynamic, Time-Aware Benchmark for LLM-Driven Fake News Detection

arXiv - AI · 4 min ·
[2604.04743] Hallucination Basins: A Dynamic Framework for Understanding and Controlling LLM Hallucinations
Llms

[2604.04743] Hallucination Basins: A Dynamic Framework for Understanding and Controlling LLM Hallucinations

Abstract page for arXiv paper 2604.04743: Hallucination Basins: A Dynamic Framework for Understanding and Controlling LLM Hallucinations

arXiv - AI · 3 min ·
[2604.04741] Artificial Intelligence and Cost Reduction in Public Higher Education: A Scoping Review of Emerging Evidence
Llms

[2604.04741] Artificial Intelligence and Cost Reduction in Public Higher Education: A Scoping Review of Emerging Evidence

Abstract page for arXiv paper 2604.04741: Artificial Intelligence and Cost Reduction in Public Higher Education: A Scoping Review of Emer...

arXiv - AI · 4 min ·
[2604.04733] Discovering Failure Modes in Vision-Language Models using RL
Llms

[2604.04733] Discovering Failure Modes in Vision-Language Models using RL

Abstract page for arXiv paper 2604.04733: Discovering Failure Modes in Vision-Language Models using RL

arXiv - AI · 3 min ·
[2604.04732] Metaphors We Compute By: A Computational Audit of Cultural Translation vs. Thinking in LLMs
Llms

[2604.04732] Metaphors We Compute By: A Computational Audit of Cultural Translation vs. Thinking in LLMs

Abstract page for arXiv paper 2604.04732: Metaphors We Compute By: A Computational Audit of Cultural Translation vs. Thinking in LLMs

arXiv - AI · 3 min ·
[2604.04723] Individual and Combined Effects of English as a Second Language and Typos on LLM Performance
Llms

[2604.04723] Individual and Combined Effects of English as a Second Language and Typos on LLM Performance

Abstract page for arXiv paper 2604.04723: Individual and Combined Effects of English as a Second Language and Typos on LLM Performance

arXiv - AI · 4 min ·
[2604.04720] What Makes Good Multilingual Reasoning? Disentangling Reasoning Traces with Measurable Features
Machine Learning

[2604.04720] What Makes Good Multilingual Reasoning? Disentangling Reasoning Traces with Measurable Features

Abstract page for arXiv paper 2604.04720: What Makes Good Multilingual Reasoning? Disentangling Reasoning Traces with Measurable Features

arXiv - AI · 4 min ·
[2604.04664] ROSClaw: A Hierarchical Semantic-Physical Framework for Heterogeneous Multi-Agent Collaboration
Llms

[2604.04664] ROSClaw: A Hierarchical Semantic-Physical Framework for Heterogeneous Multi-Agent Collaboration

Abstract page for arXiv paper 2604.04664: ROSClaw: A Hierarchical Semantic-Physical Framework for Heterogeneous Multi-Agent Collaboration

arXiv - AI · 4 min ·
[2604.04646] Training-Free Refinement of Flow Matching with Divergence-based Sampling
Machine Learning

[2604.04646] Training-Free Refinement of Flow Matching with Divergence-based Sampling

Abstract page for arXiv paper 2604.04646: Training-Free Refinement of Flow Matching with Divergence-based Sampling

arXiv - AI · 3 min ·
[2604.04634] Preserving Forgery Artifacts: AI-Generated Video Detection at Native Scale
Machine Learning

[2604.04634] Preserving Forgery Artifacts: AI-Generated Video Detection at Native Scale

Abstract page for arXiv paper 2604.04634: Preserving Forgery Artifacts: AI-Generated Video Detection at Native Scale

arXiv - AI · 4 min ·
[2604.04593] Ruling Out to Rule In: Contrastive Hypothesis Retrieval for Medical Question Answering
Llms

[2604.04593] Ruling Out to Rule In: Contrastive Hypothesis Retrieval for Medical Question Answering

Abstract page for arXiv paper 2604.04593: Ruling Out to Rule In: Contrastive Hypothesis Retrieval for Medical Question Answering

arXiv - AI · 4 min ·
[2604.04565] PassiveQA: A Three-Action Framework for Epistemically Calibrated Question Answering via Supervised Finetuning
Llms

[2604.04565] PassiveQA: A Three-Action Framework for Epistemically Calibrated Question Answering via Supervised Finetuning

Abstract page for arXiv paper 2604.04565: PassiveQA: A Three-Action Framework for Epistemically Calibrated Question Answering via Supervi...

arXiv - AI · 3 min ·
[2604.04563] Temporal Inversion for Learning Interval Change in Chest X-Rays
Llms

[2604.04563] Temporal Inversion for Learning Interval Change in Chest X-Rays

Abstract page for arXiv paper 2604.04563: Temporal Inversion for Learning Interval Change in Chest X-Rays

arXiv - AI · 3 min ·
[2604.04562] Paper Espresso: From Paper Overload to Research Insight
Llms

[2604.04562] Paper Espresso: From Paper Overload to Research Insight

Abstract page for arXiv paper 2604.04562: Paper Espresso: From Paper Overload to Research Insight

arXiv - AI · 3 min ·
[2604.04561] Mapping the Exploitation Surface: A 10,000-Trial Taxonomy of What Makes LLM Agents Exploit Vulnerabilities
Llms

[2604.04561] Mapping the Exploitation Surface: A 10,000-Trial Taxonomy of What Makes LLM Agents Exploit Vulnerabilities

Abstract page for arXiv paper 2604.04561: Mapping the Exploitation Surface: A 10,000-Trial Taxonomy of What Makes LLM Agents Exploit Vuln...

arXiv - AI · 4 min ·
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