GPUs, training clusters, MLOps, and deployment
So, yesterday run was a success and I did get an avg rollout length of about 64 tokens as attached in the image! This was with quality_re...
![[2603.10652] Are Video Reasoning Models Ready to Go Outside?](https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png){kind=logo}
Abstract page for arXiv paper 2603.10652: Are Video Reasoning Models Ready to Go Outside?
Abstract page for arXiv paper 2602.00181: CamReasoner: Reinforcing Camera Movement Understanding via Structured Spatial Reasoning
This article evaluates uncertainty estimates in binary classification models, comparing six probabilistic machine learning algorithms to ...
The paper presents AI-Paging, a framework for optimizing AI-as-a-Service by enabling network providers to manage model selection and exec...
This paper presents a framework for high-fidelity network management in Federated AI-as-a-Service, focusing on cross-domain orchestration...
This paper presents a novel method for identifying errors in stepwise reasoning using latent veracity inference, enhancing the reliabilit...
The paper introduces Qronos, a novel post-training quantization algorithm that enhances neural network performance by correcting quantiza...
This study analyzes AI research production across European regions at the NUTS-3 level, highlighting the specialization of peripheral reg...
This paper explores the integration of Generative AI in computing systems, identifying recurring challenges and design principles across ...
NeuroLifting introduces a novel approach for inference in large-scale Markov Random Fields (MRFs) using Graph Neural Networks, achieving ...
The paper introduces OpaqueToolsBench, a benchmark for evaluating Large Language Model (LLM) agents' performance with opaque tools, propo...
This paper discusses the limitations of layerwise approximate verification in neural inference, presenting a counterexample that challeng...
This article presents a novel approach to implementing low-latency machine learning on radiation-hard FPGAs, demonstrating its applicatio...
This article presents a novel real-time conversational assistant that utilizes audio and IMU data to guide users through procedural tasks...
The paper presents Safe-SDL, a framework for ensuring safety in AI-driven Self-Driving Laboratories, addressing the critical 'Syntax-to-S...
The paper introduces the Agent Communication Protocol (ACP), a framework for secure and efficient agent-to-agent orchestration, addressin...
The paper presents ExpertWeaver, a framework that enhances the conversion of dense LLMs into sparse Mixture-of-Experts (MoE) models using...
This article introduces a novel operator learning method for incompressible flows, enhancing computational efficiency while preserving es...
This article discusses the integration of accelerated computing (AC) and artificial intelligence (AI) in computational lithography, highl...
This article explores Ankara's public transport crisis, attributing it to structural issues rather than mere inefficiencies. It highlight...
GaiaFlow presents a novel framework for carbon-efficient search, employing semantic-guided diffusion tuning to balance retrieval accuracy...
This article discusses the use of large language models (LLMs) as synthetic participants in social science experiments, evaluating their ...
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