AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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2,089 papers
This work introduces Lexara-RF, a reference-free set of metrics that scores CVA outputs using only the prompt, data, and model response, and reformulate evaluation as verification: 13 metrics operationalize visualization design theory and Gricean cooperative principles as computable consistency, intent-alignment, and d...
The AI Leadership Battery is developed, which organizes 36 behaviorally specific subdimensions into 11 theory-specified content families and provides researchers with a behavioral framework for examining how leaders in AI-enabled work regulate judgment, learning, adaptation, transparency, and accountability.
The results demonstrate that disagreement reflects meaningful preference heterogeneity rather than annotation noise, and highlight the importance of collecting annotator attributes and learning individuated utility functions, enabling reward models that explicitly account for whose preferences they represent and faithf...
A few-shot learning approach is developed and a small subset of question types accounts for the majority of student inquiries, and that the types of questions students ask change substantially as the task progresses.
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Garages have a long tradition of tinkering, creativity and innovative change. School of Garage, a participatory artistic summer school project in Chemnitz, the European Capital of Culture 2025, took up this tradition and turned old Eastern Bloc garages into temporary ateliers for collaborative making and discussion. In...
Design implications for pediatric CGA are offered, including designing sensing and calibration for smaller and changing bodies, including designing sensing and calibration for smaller and changing bodies.
This work develops an interface that enables plan tracing and allows learners to receive AI feedback on their plans before writing code and reflects on the design and use of the tool, identifying what worked, what didn't, and why, and offers recommendations for instructors and tool designers.
A decision-theoretic model is developed to determine time-efficient confirmation point placement and results show that 81% of participants preferred the intermediate confirmation approach over the confirm-at-end approach used by existing systems, and task completion time was reduced by 13.54%.
DoubleAgents is presented, a system for human–agent alignment in coordination tasks, grounded in distributed cognition that introduces interactive simulation as a methodological testbed for rapid iteration and alignment testing of agentic systems.
Ambient clinical scribes (ACS) are being rapidly deployed at scale across Global South healthcare settings, aiming to reduce clinician documentation time, especially in overburdened environments like India. These ACS are primarily developed or distilled from models built and validated on Global North speech, languages...
The proposed XRoboToolKit-T teleoperation system incorporates a tactile-informed force control architecture, designed to ensure both stable and precise force control in contact-rich manipulation during teleoperation, which achieves higher data collection efficiency and improved manipulation stability compared to state-...
This paper presents Auto-HSI, a method for generating personalized human-swarm interaction (HSI) interfaces on demand. The objective is to enable untrained operators to use natural language descriptions and gesture demonstrations to explain how they want the robots to collectively behave in response to their gestures....
AI agents can generate code at a scale that’s hard for humans to review line-by-line. PDD Kit helps ensure the code is doing what the developer intended by creating formal specifications and testing against them. It converts developer intent into a Verus specification, proves AI-generated code meets it for every input, and uses tests where proofs aren't practical. Developers review intent, not every line. The post Formally verifying agent-written full-stack web apps with PDD Kit appeared first o…
Data Mining & Modeling
Professor Paris Smaragdis develops computers with superhuman hearing for applications like speech recognition, music understanding, and environmental monitoring.
During the School of Humanities, Arts, and Social Sciences’ 75th Anniversary Symposium, President Sally Kornbluth said “MIT has never needed your particular insight and guidance more than we do now.”
Assistant Professor Benjamin Lindquist studies how engineers deliberately injected randomness into early AI, giving rise to deep-learning models that sometimes hallucinate.
“X-Hinges” helps design and 3D print items like lamps and gloves with an interactive twist: automatically embedded sensors that perceive and adaptively respond to human contact.
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