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3 days ago
A Parallel Multi-Dialect Arabic Dependency Treebank
arXiv:2610.28823v1 Announce Type: new Abstract: Dependency parsing resource development for Arabic has largely focused on Modern Standard Arabic, leaving dialectal Arabic comparatively under-resourced. We introduce MADARTB, the first large-scale parallel dependency treebank spanning five…
3 days ago
CPR for LLMs: Critical-Point Routing against Catastrophic Forgetting in Domain Adaptation
arXiv:2608.30158v4 Announce Type: replace Abstract: Supervised fine-tuning (SFT) is the de facto standard for adapting large language models (LLMs) to target domains, but it often degrades the model's general capabilities, a phenomenon known as…
3 days ago
Adaptive Steering and Remasking for Safe Generation in Diffusion Language Models
arXiv:2605.13043v3 Announce Type: replace Abstract: Diffusion Language Models(DLMs) provide a promising alternative to autoregressive language models through iterative denoising and bidirectional generation. However, their iterative generation process introduces distinct safety vulnerabilities because harmful content…
3 days ago
Trees from Marginals: Autoregressive drafting with factorized priors
arXiv:2607.06763v3 Announce Type: replace-cross Abstract: Speculative decoding greatly increases the interactivity of autoregressive language models by trading off computation for extra tokens generated in a single forward pass. Factorized draft models are especially efficient…
3 days ago
WaveCommitments: Private and Verifiable Speech-Agent Marketplaces
arXiv:2610.26867v2 Announce Type: replace Abstract: Modern speech systems are evolving into ecosystems of autonomous speech agents that interact, negotiate, and trade assets such as embeddings, spectrograms, or raw data. In such markets, sellers cannot…
3 days ago
Data Schedules and Learning Rate Schedules Should Be Designed Together
arXiv:2610.29348v1 Announce Type: cross Abstract: Mid-training (MT) is a training phase in LLM training pipelines that continues pretraining (PT) on smaller datasets of higher value. Taking the PT and MT phases as a whole,…
3 days ago
Computer Vision and Knowledge-Grounded Language Models for Intelligent Beekeeper Assistance
arXiv:2610.29283v1 Announce Type: cross Abstract: Managed and wild bees sustain roughly a third of the global food products, yet colonies face mounting stress from climate-change including extreme weather patterns, altered parasite and disease patterns.…
3 days ago
NVIDIA Nsight Python Tutorial: How to Profile GPU Kernels
Discover NVIDIA Nsight Python, an open-source interface that allows developers to profile GPU kernels, analyze hardware metrics, evaluate cache and clock controls, and measure kernel fusion directly from Python code. The post NVIDIA Nsight…
3 days ago
Hackers Exploited the PHP Vulnerabilities Days Before They Were Patched
Amazon Web Services logged attempts to leverage the internet-melting PHP2Shell bugs four days ago. They're now being “broadly exploited” across the internet.
3 days ago
Uber brings ChatGPT Work to all employees with OpenAI
Uber is rolling out ChatGPT Work to more than 30,000 employees, helping teams research, analyze data, create presentations, and complete complex workflows.
3 days ago
Securing Quick access from corporate networks with AWS PrivateLink
Learn how to connect on-premises data sources to Amazon Quick privately with AWS PrivateLink, keeping analytics traffic off the public internet. This walkthrough covers VPC endpoints for user and API access, VPC connections for…
3 days ago
5 production challenges in multi-agent systems and how Deep Insight solved them
Many teams build a multi-agent AI prototype in days but hit a wall in production. This post defines five production challenges (orchestration, per-agent model selection, reliable operation, secure code execution, and monitoring) and shows…