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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 ·
GitHub rushed to fix a critical vulnerability in less than six hours | The Verge
Machine Learning

GitHub rushed to fix a critical vulnerability in less than six hours | The Verge

A critical remote code execution vulnerability was discovered using an AI model and patched within hours.

The Verge - AI · 4 min ·
Coby Adcock's Scout AI raises $100 million to train its models for war. We visited its bootcamp. | TechCrunch
Machine Learning

Coby Adcock's Scout AI raises $100 million to train its models for war. We visited its bootcamp. | TechCrunch

We visited Scout AI's training ground where it's working on AI agents that give individual soldiers control of fleets of autonomous vehic...

TechCrunch - AI · 11 min ·

All Content

[2604.01438] ClawSafety: "Safe" LLMs, Unsafe Agents
Llms

[2604.01438] ClawSafety: "Safe" LLMs, Unsafe Agents

Abstract page for arXiv paper 2604.01438: ClawSafety: "Safe" LLMs, Unsafe Agents

arXiv - AI · 4 min ·
[2603.18633] An Onto-Relational-Sophic Framework for Governing Synthetic Minds
Llms

[2603.18633] An Onto-Relational-Sophic Framework for Governing Synthetic Minds

Abstract page for arXiv paper 2603.18633: An Onto-Relational-Sophic Framework for Governing Synthetic Minds

arXiv - AI · 4 min ·
[2603.09127] Collective AI can amplify tiny perturbations into divergent decisions
Llms

[2603.09127] Collective AI can amplify tiny perturbations into divergent decisions

Abstract page for arXiv paper 2603.09127: Collective AI can amplify tiny perturbations into divergent decisions

arXiv - AI · 4 min ·
[2602.07943] IV Co-Scientist: Multi-Agent LLM Framework for Causal Instrumental Variable Discovery
Llms

[2602.07943] IV Co-Scientist: Multi-Agent LLM Framework for Causal Instrumental Variable Discovery

Abstract page for arXiv paper 2602.07943: IV Co-Scientist: Multi-Agent LLM Framework for Causal Instrumental Variable Discovery

arXiv - AI · 3 min ·
[2602.03151] Enhancing Foundation VLM Robustness to Missing Modality: Scalable Diffusion for Bi-directional Feature Restoration
Llms

[2602.03151] Enhancing Foundation VLM Robustness to Missing Modality: Scalable Diffusion for Bi-directional Feature Restoration

Abstract page for arXiv paper 2602.03151: Enhancing Foundation VLM Robustness to Missing Modality: Scalable Diffusion for Bi-directional ...

arXiv - AI · 4 min ·
[2601.22776] TSPO: Breaking the Double Homogenization Dilemma in Multi-turn Search Policy Optimization
Llms

[2601.22776] TSPO: Breaking the Double Homogenization Dilemma in Multi-turn Search Policy Optimization

Abstract page for arXiv paper 2601.22776: TSPO: Breaking the Double Homogenization Dilemma in Multi-turn Search Policy Optimization

arXiv - AI · 3 min ·
[2601.21439] The Paradox of Robustness: Decoupling Rule-Based Logic from Affective Noise in High-Stakes Decision-Making
Llms

[2601.21439] The Paradox of Robustness: Decoupling Rule-Based Logic from Affective Noise in High-Stakes Decision-Making

Abstract page for arXiv paper 2601.21439: The Paradox of Robustness: Decoupling Rule-Based Logic from Affective Noise in High-Stakes Deci...

arXiv - AI · 4 min ·
[2511.16383] An Agent-Based Framework for the Automatic Validation of Mathematical Optimization Models
Llms

[2511.16383] An Agent-Based Framework for the Automatic Validation of Mathematical Optimization Models

Abstract page for arXiv paper 2511.16383: An Agent-Based Framework for the Automatic Validation of Mathematical Optimization Models

arXiv - AI · 3 min ·
[2601.05656] HAG: Hierarchical Demographic Tree-based Agent Generation for Topic-Adaptive Simulation
Llms

[2601.05656] HAG: Hierarchical Demographic Tree-based Agent Generation for Topic-Adaptive Simulation

Abstract page for arXiv paper 2601.05656: HAG: Hierarchical Demographic Tree-based Agent Generation for Topic-Adaptive Simulation

arXiv - AI · 3 min ·
[2512.13168] Finch: Benchmarking Finance & Accounting across Spreadsheet-Centric Enterprise Workflows
Machine Learning

[2512.13168] Finch: Benchmarking Finance & Accounting across Spreadsheet-Centric Enterprise Workflows

Abstract page for arXiv paper 2512.13168: Finch: Benchmarking Finance & Accounting across Spreadsheet-Centric Enterprise Workflows

arXiv - AI · 4 min ·
[2511.14130] PRISM: Prompt-Refined In-Context System Modelling for Financial Retrieval
Llms

[2511.14130] PRISM: Prompt-Refined In-Context System Modelling for Financial Retrieval

Abstract page for arXiv paper 2511.14130: PRISM: Prompt-Refined In-Context System Modelling for Financial Retrieval

arXiv - AI · 4 min ·
[2510.09901] Autonomous Agents for Scientific Discovery: Orchestrating Scientists, Language, Code, and Physics
Llms

[2510.09901] Autonomous Agents for Scientific Discovery: Orchestrating Scientists, Language, Code, and Physics

Abstract page for arXiv paper 2510.09901: Autonomous Agents for Scientific Discovery: Orchestrating Scientists, Language, Code, and Physics

arXiv - AI · 3 min ·
[2508.02900] Seemingly Simple Planning Problems are Computationally Challenging: The Countdown Game
Machine Learning

[2508.02900] Seemingly Simple Planning Problems are Computationally Challenging: The Countdown Game

Abstract page for arXiv paper 2508.02900: Seemingly Simple Planning Problems are Computationally Challenging: The Countdown Game

arXiv - AI · 4 min ·
[2502.13388] Reflection of Episodes: Learning to Play Game from Expert and Self Experiences
Llms

[2502.13388] Reflection of Episodes: Learning to Play Game from Expert and Self Experiences

Abstract page for arXiv paper 2502.13388: Reflection of Episodes: Learning to Play Game from Expert and Self Experiences

arXiv - AI · 3 min ·
[2411.06498] Barriers to Complexity-Theoretic Proofs that "AGI" Using Machine Learning is Impossible
Machine Learning

[2411.06498] Barriers to Complexity-Theoretic Proofs that "AGI" Using Machine Learning is Impossible

Abstract page for arXiv paper 2411.06498: Barriers to Complexity-Theoretic Proofs that "AGI" Using Machine Learning is Impossible

arXiv - AI · 3 min ·
[2604.04924] Your Pre-trained Diffusion Model Secretly Knows Restoration
Machine Learning

[2604.04924] Your Pre-trained Diffusion Model Secretly Knows Restoration

Abstract page for arXiv paper 2604.04924: Your Pre-trained Diffusion Model Secretly Knows Restoration

arXiv - AI · 3 min ·
[2604.04906] How AI Aggregation Affects Knowledge
Machine Learning

[2604.04906] How AI Aggregation Affects Knowledge

Abstract page for arXiv paper 2604.04906: How AI Aggregation Affects Knowledge

arXiv - AI · 3 min ·
[2604.04917] Vero: An Open RL Recipe for General Visual Reasoning
Llms

[2604.04917] Vero: An Open RL Recipe for General Visual Reasoning

Abstract page for arXiv paper 2604.04917: Vero: An Open RL Recipe for General Visual Reasoning

arXiv - AI · 4 min ·
[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 ·
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