AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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3,113 papers
Experimental results demonstrate that when fine-tuning with only a small set of high-value instruction data, CTI-TDS outperforms existing data selection methods and achieves competitive performance on threat intelligence analysis tasks.
A novel cognitively-inspired hybrid model is presented which optimally trades off simulation and reasoning to improve model performance and computational efficiency and draws a parallel with this to resource-rational theories of human cognition, which propose that people optimally trade off simulation and reasoning dep...
A decision model for choosing LLMs in agentic workflows is developed, showing that each resource has a crossover task length at which a smaller, less reliable model ceases to be the greener, cheaper or faster option.
This work introduces ActionOPD, an action-level on-policy distillation method motivated by maximizing expected teacher-action likelihood at student-encountered states, and establishes ActionOPD as a promising approach to agent distillation.
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This work introduces EXAM, an EXtremist Agent Modeling framework that capable of configuring extremist agents for specific tasks and precisely controlling their population proportion, spatial distribution, interaction protocols, and measurement interfaces.
Vision-language-action policies fine-tuned on LIBERO are trained and evaluated on the same ten instruction strings, and rewording the instruction changes base OpenVLA's success by -38.0 points, although the stronger policies lose a much smaller fraction of it than base OpenVLA.
Functional gastrointestinal disorders, now termed disorders of gut-brain interaction, are heterogeneous conditions shaped by psychological, physiological, microbial, and environmental factors.Diagnosis and treatment remain difficult because symptoms overlap, trajectories fluctuate, and no single objective biomarker exi...
Background Burnout is a common, serious occupational mental-health problem in nursing, and psychological resilience is a modifiable factor that may be associated with lower burnout. Whether this association holds equally across the education-to-practice transition, from interns to registered nurses, is unclear, and the...
Grading programming coursework is challenging work, and sending student work to a commercial API raises privacy problems for a university. We built a grading system that runs entirely locally and tested it on 125 real submissions from six different laboratory exercises for which two instructors had already marked every...
Abstract This pilot study aimed to explore how a specific group of neurodivergent students in the 4th and 5th grades of elementary school represent scientists through drawing. To this end, the Draw-a-Scientist Test (DAST) was administered to 7 neurodivergent children with a diagnosed Autism Spectrum Disorder (ASD) who...
Body appreciation has received a good deal of research attention due to its role in the promotion of well-being and adaptive eating. Prior meta-analytic evidence has pointed to small gender differences in body appreciation (favoring men), but the rapidly expanding literature and growing recognition of gender diversity...
Abstract Annotated text data are central to many empirical applications in political science, yet many annotation tasks involve categories that are sparsely populated. These low- N categories pose problems for both encoder-only and decoder-only (generative) Transformer large language models (LLMs), leading to low perfo...
A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.
Zero-knowledge proofs can verify computing results without rerunning workloads or exposing sensitive data. Magnetar helps bring them into the mainstream with support for standard programming languages, major speed gains, and quantum-resistant security. The post Proof-based general-purpose computing with Magnetar appeared first on Microsoft Research.
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.
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