As someone who regularly reviews AI software, I spend a lot of time testing tools and documenting how they work. That often means capturing the process…
Category: AI
LumiXAI: A Modular Full-Stack Framework for Feature Attribution
arXiv:2608.24524v1 Announce Type: cross Abstract: Feature attribution is a central tool of model interpretability, yet the software through which it is…
IBM Says Granite Speech 5.0 Transcribes 3.5 Hours of Speech in One Second
IBM released two compact English speech recognition models on August 25, 2026, claiming transcription throughput no open model has posted before: more…
FraudBench: Protocol-Sensitive Benchmarking of Adversarial Robustness for Financial Risk Assessment
arXiv:2608.24551v1 Announce Type: cross Abstract: Machine learning models are widely used in financial fraud and credit-risk detection, yet their…
When Do Supervised UQ Ensembles Improve LLM Hallucination Detection? A Robustness Study
arXiv:2608.24492v1 Announce Type: cross Abstract: Uncertainty quantification (UQ) methods are widely used for hallucination detection in large language…
Scalable and Versatile Identification for Hierarchical Structural Causal Models: A New Look at Project STAR
arXiv:2608.24500v1 Announce Type: cross Abstract: The STAR (Student-Teacher Achievement Ratio) experiment (1985, Tennessee, USA) is a landmark…
Granite 4.2 LLMs: How They’re Built
This post has no text preview — click the link below to read the original article. This article has been indexed from Hugging Face – Blog Read the original article: Granite 4.2 LLMs: How They’re Built
Beyond Static Interpretability: Anticipating Post-SFT Mechanisms from Pre-SFT Parameters for Better Tuning
arXiv:2608.24482v1 Announce Type: cross Abstract: Mechanistic Localization bridges mechanistic interpretability and post-training optimization by…
Amazon just tripled its order of Nvidia chips over ‘surging demand’
Amazon is adding another 2 million Nvidia GPU chips to its data centers over the next two years. But this extended partnerships stretches beyond buying…
Evaluating Deep Multivariate Imputation Models on Wearable Device Data
arXiv:2608.24436v1 Announce Type: cross Abstract: Wearable device data enables continuous health monitoring, but suffers from structured missingness:…
