AI News

Granger Causal Networks and Indirect Feedback

One of the most utilized econometric workflows in the last decade has been that of using vector autoregressive models. From research done by academicians to

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Information Theory and Ensemble Models

Image by Pexels Coming out of the pandemic, statisticians have run into

DynaMiCS: Fine-Tuning LLMs with Performance Constraints Using Dynamic Mixtures

Multi-domain fine-tuning of large language models requires improving performance on target domains

NVIDIA Releases Audex (Nemotron-Labs-Audex-30B-A3B): A Unified Audio-Text LLM That Preserves the Text Intelligence of Its Backbone

NVIDIA has released Audex (Nemotron-Labs-Audex-30B-A3B), a unified audio-text large language model. It

LensVLM: Selective Context Expansion for Compressed Visual Representation of Text

Vision Language Models (VLMs) offer the exciting possibility of processing text as

MT-EditFlow: Reinforcement Learning for Multi-Turn Image Editing with Flow Matching

Recent breakthroughs in instruction-based image editing have captured significant attention, as models

Survival Analysis for Data Drift and ML Reliability

Introduction systems rarely fail in a single moment. Their performance changes gradually

Weblica: Scalable and Reproducible Training Environments for Visual Web Agents

The web is complex, open-ended, and constantly changing, making it challenging to

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