A disconfounded probing benchmark, multi-model multi-dataset bootstrap, refusal-channel attribution, and sparse-autoencoder decomposition for small instruction-tuned LMs (Qwen3-1.7B, Gemma 2 2B, Llama ...
Near-infrared spectroscopy combined with principal components analysis and a back propagation neural network identified ...
A new framework combining reinforcement learning and Siamese convolutional networks with blockchain-secured routing reports ...
OpenAI published an updated Model Spec on October 29, 2026, reorganizing its public description of how it wants its models to ...
Baton Systems' new optimizer weighs cash and securities across all margin calls at once, trading off delivery cost, HQLA and movements. Cleared first.
Large language model pretraining optimizes a neural network on vast token sequences so it learns reusable linguistic, factual ...
New capability evaluates cash and securities across multiple obligations simultaneously, to balance funding cost, HQLA ...
A new risk-averse three-objective two-stage stochastic model for Thailand's biomass pellet supply chain shows that the ...
NVIDIA introduces a multi-GPU solver for decision optimization, scaling to 100 million variables and beyond, promising faster ...
When an agentic AI system hands a task from a small model to a larger one — or back down again — it pays a steep tax: the receiving model has to recompute the entire conversation from scratch, driving ...
Moonshot AI, the Beijing-based artificial intelligence startup backed by Alibaba, on Thursday released Kimi K3 — a 2.8-trillion-parameter model that the company says is now the largest open-source AI ...
We study inference via heteroskedasticity in linear models commonly used for macroeconomic policy analysis, where covariate endogeneity must often be addressed with limited time and data. Our ...
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