GPUs, training clusters, MLOps, and deployment
![[2604.01989] Attention at Rest Stays at Rest: Breaking Visual Inertia for Cognitive Hallucination Mitigation](https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png){kind=logo}
Abstract page for arXiv paper 2604.01989: Attention at Rest Stays at Rest: Breaking Visual Inertia for Cognitive Hallucination Mitigation
Abstract page for arXiv paper 2512.18809: FedVideoMAE: Efficient Privacy-Preserving Federated Video Moderation
Abstract page for arXiv paper 2512.08980: Training Multi-Image Vision Agents via End2End Reinforcement Learning
The OpenPort Protocol introduces a governance-first approach for AI agents, ensuring secure access to application tools while addressing ...
The paper presents MoBiQuant, a novel quantization framework for elastic large language models (LLMs) that adapts weight precision based ...
This article explores the ownership rules surrounding AI-generated outputs, examining how they are linked to their creators and the impli...
This paper presents JurisMMA, a novel framework for Legal Judgment Prediction (LJP) that utilizes multimodal data to enhance the accuracy...
The paper explores how Large Language Models (LLMs) can achieve superintelligence through the Diligent Learner framework, emphasizing the...
The paper introduces AgentOS, a conceptual framework that transitions Large Language Models from static inference engines to dynamic cogn...
The paper presents CHESS, a novel KV-cache management system designed for long-context LLM inference, enhancing efficiency and throughput...
This paper explores the use of reinforcement learning from AI feedback (RLAIF) to balance multiple objectives in urban traffic control, a...
The paper introduces Counterfactual Simulation Training (CST), a method designed to enhance Chain-of-Thought (CoT) faithfulness in large ...
The paper introduces ICON, a novel framework designed to defend Large Language Model (LLM) agents against Indirect Prompt Injection (IPI)...
The Recursive Belief Vision Language Model (RB-VLA) addresses limitations in current vision-language-action models by introducing a belie...
This paper explores the challenges of ensuring safety in AI systems using untrusted monitoring. It develops a taxonomy of collusion strat...
The CausalReasoningBenchmark introduces a new framework for evaluating automated causal inference, distinguishing between identification ...
The paper presents ActionEngine, a novel framework that enhances GUI agents by transitioning from reactive execution to programmatic plan...
The DMCD framework integrates LLM-based semantic drafting with statistical validation for causal discovery, enhancing performance across ...
The article discusses new tools that analyze the energy consumption of various AI models, highlighting the importance of understanding po...
The Pentagon has issued an ultimatum to AI firm Anthropic, demanding the removal of military use restrictions on its Claude AI by Friday ...
MatX, an AI chip startup founded by ex-Google engineers, has raised $500M in Series B funding to develop processors aimed at outperformin...
The article discusses the rapid integration of AI into Indiana's economy, emphasizing the need for collaboration among business, educatio...
MIT alumni are transforming the MBTA by enhancing route planning, improving service, and fostering a culture of innovation to better conn...
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