AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
Category
3,629 papers
Results show that a sub-million-parameter recurrent generative policy can achieve strong performance on modern language-conditioned manipulation benchmarks while providing an explicit mechanism for prediction-error-driven online state correction.
A token-level analysis of this failure mode is presented by viewing decoding as a dynamical process that enters and persists in a small set of recurrent contexts and shows that persistence is controlled by the escape mass assigned to plausible alternatives within the token sampling set.
This work identifies shared rank-one reuse as the root cause of the leakage exploited by the authors' attacks, and proposes LatticeLeak, which exploits the resulting hidden lattice.
This work plants a controllable latent variable inside natural-looking text and arranges the 8 states themselves on a ring, in the exact order of the Markov chain, which is supporting evidence that a concept's geometry can be formed by the statistical dynamics of the latent variable behind it.
Reach audiences
Advertise in front of researchers, engineers, and readers.
Language-model post-editing produced fluent semantic substitutions that rose with corruption, confidence did not reliably flag, and no interface policy removed, and this does not demonstrate clinical harm; prospective human-in-the-loop evaluation is needed.
The results show that appropriate model slicing significantly improves completion correctness while simultaneously reducing token usage across several structural and semantic evaluation metrics, and establish model slicing as a key factor in LLM-based model completion and provide guidance for effective context selectio...
The findings indicate that machine learning is the dominant AI technology in SME supply chains, primarily used for forecasting, inventory management, process monitoring, logistics optimization, anomaly detection, and operational decision support, and economic and environmental sustainability dimensions receive substant...
Findings provide evidence that truthfulness is a structured, linearly separable concept in the latent space of pretrained language models, and point toward interpretability-driven misinformation detection as a practical complement to retrieval-based pipelines.
The complex multi-energy coupling characteristics inherent to integrated energy system (IES) present unprecedented challenges for the implementation of low-carbon scheduling. Existing optimization methods often exhibit limitations in system scalability, algorithm adaptivity, and carbon reduction efficacy for complex IE...
Transformer-based large language models (LLMs) primarily consist of weight-intensive fully connected (FC) layers and cache-dependent attention layers. While batching significantly enhances the throughput of FC layers, it paradoxically increases the cache demands of attention layers. This provides no performance benefit...
A preliminary study on the adaptation of Whisper for Automatic Speech Recognition in Baniwa, an indigenous Arawakan language spoken in Brazil, Colombia, and Venezuela, demonstrating that multilingual foundation models can be successfully adapted to extremely low-resource indigenous languages.
This work proposes a Localize-Then-Decide framework, which restores the monotonic relationship between confidence and disagreement risk and enables high-probability agreement guarantees in large language models.
A Blog post by NVIDIA on Hugging Face
Data Mining & Modeling
A Blog post by Ai2 on Hugging Face
A Blog post by IBM Research on Hugging Face
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
A Blog post by IBM Granite on Hugging Face
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.
