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Achieving operational excellence with AI

Frameworks like Lean Six Sigma and business process management (BPM) first gained traction because they...

ACE-Brain-0: Spatial Intelligence as a Shared Scaffold for Universal Embodiments

arXiv:2603.03198v1 Announce Type: cross Abstract: Universal embodied intelligence demands robust generalization across heterogeneous embodiments, such...

Accent-Invariant Automatic Speech Recognition via Saliency-Driven Spectrogram Masking

arXiv:2510.09528v1 Announce Type: new Abstract: Pre-trained transformer-based models have significantly advanced automatic speech recognition (ASR)...

Accelerating Transformer Training with NVIDIA Transformer Engine, Fused Kernels, BF16, FP8, and GPU Benchmarking

In this tutorial, we explore how NVIDIA Transformer Engine accelerates transformer workloads by combining fused...

Accelerating Diffusion LLMs via Adaptive Parallel Decoding

arXiv:2506.00413v2 Announce Type: replace Abstract: The generation speed of LLMs are bottlenecked by autoregressive decoding...

AbstRaL: Teaching LLMs Abstract Reasoning via Reinforcement to Boost Robustness on GSM Benchmarks

Recent research indicates that LLMs, particularly smaller ones, frequently struggle with robust reasoning. They tend...

Abstract or die: Why AI enterprises can’t afford rigid vector stacks

Vector databases (DBs), once specialist research instruments, have become widely used infrastructure in just a...

A woman’s uterus has been kept alive outside the body for the first time

“Think of this as a human body,” says Javier González. In front of me is...

A Unified Representation for Continuity and Discontinuity: Syntactic and Computational Motivations

arXiv:2506.05686v1 Announce Type: new Abstract: This paper advances a unified representation of linguistic structure for...

A Tale of Two Scripts: Transliteration and Post-Correction for Judeo-Arabic

arXiv:2507.04746v2 Announce Type: replace Abstract: Judeo-Arabic refers to Arabic variants historically spoken by Jewish communities...

A Systematic Study of Pseudo-Relevance Feedback with LLMs

arXiv:2603.11008v1 Announce Type: cross Abstract: Pseudo-relevance feedback (PRF) methods built on large language models (LLMs)...

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