AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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2,214 papers
The need to develop translation technologies that directly serve translators' needs rather than replacing human translation can be done by focusing more on the assistive tools that emphasize the uncertain, social, and ultimately human character of translation, rather than automation.
Human intent recognition is crucial for effective robotic teleoperation, yet existing methods rely on a predefined set of intentions, a requirement that is manually intractable in complex open-world scenarios. We propose an unsupervised framework that integrates Bayesian nonparametric learning with multi-modal Large La...
Large language models (LLMs) increasingly rely on context caching to enhance serving efficiency. However, this optimization inadvertently compromises fairness in multi-tenant LLM serving systems. Existing fair schedulers, which account only for compute resources, are unable to handle the multi-dimensional resource dema...
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Artificial intelligence (AI)-based tissue diagnostics is entering a new phase driven by pathology foundation models: large-scale encoders and multimodal systems pretrained with self-supervised and vision-language objectives. Yet the evidence base has expanded faster than the methods used to evaluate and interpret claim...
Recently, large language models have demonstrated remarkable ability to generate human-like textual content. This advancement has increased the need for reliable methods to detect AI-generated texts, particularly to address concerns related to academic dishonesty and the spread of misinformation on social media. This s...
Early detection of cognitive impairment in primary and long-term care remains a critical unmet need, as structured neuropsychological tests impose prohibitive time and psychological burdens. We evaluated a "Cognitive Stethoscope" framework — a multimodal Large Language Model (LLM) approach that screens for impairment b...
This database provides 5,888 unit-year records of reported socioeconomic drought impacts for 368 prefecture-level research units across China over the period 2010–2025. The research units comprise prefecture-level cities, county-level divisions directly administered by provincial-level governments, and the four municip...
LLM-MovieLens is a portable pipeline that turns a catalogue's structured metadata into LLM-synthesized item features, together with the evaluation harness needed to find out whether those features help a recommender. A language model reads an item's metadata and writes an 80–120 word profile, a ten-axis mood vector and...
CMAT v1.3.0 for Windows Download CMAT-v1.3.0-windows.zip, extract the entire archive, and open CMAT/CMAT.exe. Keep the _internal folder next to the executable. Python, FFmpeg, and VLC do not need separate installation. GitHub's separate "Source code" ZIP is for developers, not the ready-to-run Windows app. What's updat...
Repository for paper: Large Language Models for Test-Enhanced Learning: A Tutorial and Proof of Concept
Moral Masquerade: Large Language Models Perform but Do Not Understand Cross-Cultural Ethics
Learn how Google DeepMind and GovTech Singapore uses lightweight on-device Gemma models to intercept conversational scams in private chats with zero cloud data egress.
StudentSim is a research system for evaluating and improving AI tutoring tools before they are tested with learners. It models how individuals may engage with tutors, giving feedback to improve tutor performance across subjects like chess, writing, and mathematics. The post Simulating student learning for better AI tutoring appeared first on Microsoft Research.
By rethinking how large cloud computing systems operate, Associate Professor Christina Delimitrou seeks to make data centers more energy efficient.
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